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I spent two years wrestling with the complexities of the Twitch video system and doing my best to contribute useful services where I can. Below are some brief summaries of the projects I worked on. Several details are omitted due to non-disclosure agreement.

In order to increase the redundancy of a service (details omitted), I had to port its distributed locking system from a third party service to AWS DynamoDB so that multiple entities could view the lock state of other entities around them. This required a deep understanding of how the system's locking actually worked, and writing rigorous tests to ensure that the overhaul was actually correct. To use a good phrase from a mentor of mine, I felt that this project bizarrely validated most traditional computer science undergraduate curricula.

My first project as a junior engineer was to build a service that detects abrupt drops in certain arenas of the video system's traffic. These drops are colloquially referred to as 'black holes', and the service is somewhat cheekily called LIGO. LIGO runs on AWS ECS/Fargate and connects to SQS, Kinesis, and Apache Druid. I architected, coded, and productionized the system entirely on my own, and gained a lot of experience on the journey.

Unequal cost multipathing, or UCMP, allows more efficient allocation of network traffic across the video system. I updated the previous algorithm (which implemented equal cost multipathing, UCMP's more inefficent predecessor) and worked with a colleague on the networking team to test the code live on the network. This project was yet another step in my journey to understand how exactly the internet works, something that I likely will never understand.

As an intern in the summer of 2020, I was tasked with building a service to track the Twitch video system's usage of third party CDNs which output a graph showing how many users were routed to CDNs per minute. I got my first taste of assembling AWS services into a single working program, and utilized Kinesis, Lambda, and CloudWatch.

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Kids growing up in the age of AI need accessible online platforms with which to learn advanced concepts that will broaden their understanding of the computerized ecosystem they live in. The goal of GenAI was to design such a platform for learners of all levels. We intended to create a prototype to hand off to professional designers.

The platform GenAI was intended to be an online textbook with several chapters about different AI topics, such as neural networks, conversational agents, and robotics, among several others. The chapter we decided to prototype with was the one about generative adversarial networks (GANs) due to the project lead's personal interest in them.

A great deal of time was spent on the interaction design of the website itself, and keeping both the landing pages and the learning material itself as easy to navigate as possible for learners and users of all ages and levels. For example, we determined that while the color scheme and design should remain the same throughout the website, the "feel" (font, UI) should change between content levels.

We also wanted to make AI seem approachable, not futuristic, dark, chrome colored, or hacker-y. We considered naturalistic themes and light colors in opposition to the typical depiction of AI in media.

At the beginning of the project, I worked along with another student in charge of web design to wireframe out the look and feel of the website. I went through several of the educational websites that I used on a daily basis and tried to pick out the elements that I found the most natural and usable, and then combine these into a design. The web designer took my fairly simple ideas and gave them a great deal of color.

Halfway through the project, however, the web designer got too busy, and I was left with coming up with the visual design elements of the website as well. In accordance with our naturalistic ideas for representing AI, I chose a color palette, designed a v1 logo, and created a moodboard.

I was also assigned to write the beginner and intermediate levels of a GANs textbook chapter. This was the first time that I had to think deeply about what it meant to be a learner at each of these levels, and be mindful to use appropriate terminology and complexity. Similarly, we designed the visuals to "level up" as well.

This project taught me a great deal about designing UI and thinking very deeply about my user. Though I had never dabbled in visual design before, I enjoyed the chance to determine how the site looked and felt, skills that proved extremely useful to designing this website!

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Through my work with the MIT AI Education initiative, I've had a hand in creating a variety of websites for hosting our curricula and educational material. The sites are widely trafficked by educators worldwide.

DoodleBot

DoodleBot was the first website that I actually created mostly myself. I got my first actual exposure to HTML and learned how to make websites using github.io, an invaluable skill that has carried me far in life.

aieducation.mit.edu

The MIT AI Education website is probably the most public facing and highly trafficked website that I'll work on for a long time. It houses the entirety of the MIT AI Education Initiative's resources, projects, publications, and fully tested curricula. This article that I helped write explains the initiative and its goals.

Creating this website was where I really honed my HTML and CSS skills, and learned how to run Javascript for interactivity as well. It's also the site that I'm the most emotionally attached, having committed 100+ times to the repo; my grad student and I were reluctant to let it be externally managed.

Dancing with AI

I'm mostly responsible for maintaining this site, but it's notable for being one of my first exposures to using the Jekyll framework, which came in handy for building this website! It was also my first experience with having educators contact me personally and ask for clarifications and fixes on curriculum material.

On their own, these websites were fairly small projects in the scope of things. However, tooling away on them gave me a much better feel for web dev and UI design that is coming in useful for this portfolio website in particular. The increase in my HTML/CSS skills has been, frankly, astronomical compared to where I started from. I used to find it insufferably frustrating, but now, working on these websites induces a sense of comfort and satisfaction in me similar to doing my laundry or cleaning my room. That feels like a huge improvement.

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When creating a game as huge as God of War, designers do an almost unimaginable amount of tweaking and twiddling with different game engine properties to get the gameplay feeling just right. My task as an intern was to create a prototype for an updated engine debugging menu. Several details are omitted due to non-disclosure agreement.

Like many triple A game studios, Santa Monica Studio utilizes a custom built engine for God of War. As such, the tool for tweaking settings within said engine was also custom designed, and was over a decade old when I was tasked with creating a more modern prototype.

I was tasked with using the Dear ImGui library to create this prototype. ImGui is an open source C++ library for creating user interfaces, primarily for game engines and other real-time 3D applications.

This was my first time working with a codebase on a massive scale. I learned how to parse through huge chunks of relatively undocumented code, and gained an intuition for how to look for the code actually relevant to my needs. I had also never worked with an external library as big as ImGui, so figuring out how to integrate it into the existing PlayStation codebase was a slow task.

I also learned what it was like to have multiple stakeholders for a system. Designers, artists, and programmers all used the engine debugging tool in different ways, and had different opinions on the changes that should be made to it. From the way the PS4 controller was used to navigate the menu, to the actual widgets used for certain features themselves, I learned the importance of taking multiple voices into account when creating an end product for a variety of users.

The biggest challenge I faced was struggling through the nuances of C++. I learned that low-level programming is definitely not my forte, and the intricacies of buffer overflows and overwritten caches did not bring me much joy. But in the end, the experience of working in a triple A studio on such a huge project was worth all the frustration. As a small contributor, I'm excited for the world to see God of War: Ragnarok, and as a fan of the franchise, I'm dying to play it myself!

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TaleBlazer is an augmented reality (AR) software platform developed by the MIT Scheller Teacher Education Program (STEP) Lab that allows users to play and make their own location-based mobile games in a browser-based block programming language. My task as an undergrad researcher was to prototype and add certain highly requested blocks to the web editor.

An important feature for AR games, which happen both in real locations and in real-time - is time! When I joined the TaleBlazer project, some of the most highly requested features from users were time-based event blocks, in which a user could trigger an event using elapsed time. My task was to brainstorm, prototype, and implement the best set of blocks for users to achieve this functionality.

I began with brainstorming a variety of time-based features that could come in handy in a location-based AR game:

I then created paper prototypes and iterated upon them multiple times before finally moving on to implementation. The TaleBlazer backend is written in Javascript on top of a CakePHP backend. I primarily wrote Javascript in Android Studio, and built countless iterations of the app onto an old Android phone. The final result was that these three blocks were added to the TaleBlazer programming language:

My project for TaleBlazer was, in itself, relatively simple. However, this summer was absolutely instrumental to my growth as an engineer for several other reasons. I learned how to use Git, and managed, committed to, and pull requested branches with my chcanges. I learned the process of prototyping and adding user requested features, and learned how to go through several iterations of ideation. I learned how to adjust to different development environments, and code in languages that I had never encountered before. For all of these reasons, my summer at TaleBlazer will likely remain the most formative summer of my career.

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From September 2017 to January 2021, I wrote 77 blog posts (an auspicious number in retrospect, given how much I love Final Fantasy VII) for the MIT Admissions website. The mission of the Admissions blogs is to paint a genuine, unedited picture of MIT life and culture to potential applicants.

From September 2017 to January 2021, the MIT Admissions front page got just about 40 million pageviews with around 7 million unique users from all around the world. With my blog posts, I contributed to a small amount of those pageviews with a variety of different types of blog posts: compilations of MIT culture, several enthusiastic posts about Spotify, and some minorly viral data visualizations. Compiling most of these posts helped me develop what I now consider to be a life skill: shamelessly asking large groups of people to provide me with similarly large amounts of data. At some point, I even had a salty MIT Confessions post written about just how shameless I was. However, I firmly believe that these experiences built character, and will serve me well in the working world. When I need to get something done, I'll get it done.

I had never written for such a large audience before, and it was both strange and gratifying to receive comments and emails from incoming students telling me how much my blogs resonated with them on different levels. Being told that my blogs were the reason that a student applied to MIT certainly ranks among the more touching experiences in my life. In the grand scheme of things, the impact of my blogs on the internet was quite small, but if they could change even a few people's life trajectories, then I think my quest as a writer has been fulfilled.

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I’m passionate about teaching and engaging students in a way that makes complex concepts click. Over the years, I’ve had the privilege of teaching a range of engineering courses, from Mechanisms and Machines to Fluid Mechanics and Heat Transfer. I love creating an interactive classroom where students feel inspired to dive into the material alongside me. Below are some highlights of my teaching journey so far, and I’ll keep updating as I continue to teach!

My Teaching Adventures

• Fall 2021: Mechanisms and Machines, BITS Pilani
  Taught this course as a Teaching Assistant at BITS Pilani. Unfortunately, the recordings were lost, but the experience of breaking down mechanical concepts for students was unforgettable.
• 2021-2022: AutoCAD Sessions, BITS Pilani
  Led some AutoCAD workshops. Majorly as a part of the M&M course.
• Fall 2024: Fluid Mechanics, NTU Singapore
  Taught in-person Fluid Mechanics sessions at NTU, focusing on interactive discussions and real-world applications to make the subject engaging and approachable.
• Spring 2025: Heat Transfer, NTU Singapore
  Delivered Heat Transfer lectures at NTU, emphasizing problem-solving and conceptual clarity to help students grasp thermal systems.
• Fall 2025: Heat Transfer (Round Two), NTU Singapore
  Back with Heat Transfer at NTU. Going all in to make it a party. Check the YouTube playlist for the Fall 2025 tutorials!

Fall 2025 Heat Transfer Playlist

Lecture Notes

Teaching’s a wild ride, and I’m all in for it. More classroom tales coming as I keep dragging students into the engineering deep end!

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I started messing around with music pretty early on, learning harmonium and singing when I was just a kid. Then I kinda dropped it for a bit. Later, I got this huge Yamaha synth as a gift and from then on, I just kept dabbling with it whenever I could. Picked up guitar in College 1st year, learnt from Arjun Sir, in Jaipur (don't have a link to his profile, sorry!), that's all. Performed a bit here and there... I've got a couple of videos here below if you wanna see!

Performances (Public and Personal)

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I’m really into bike rides — they’re one of my biggest passions. It all started with my Glamour back in Jaipur, then I upgraded to an Ignitor that took me through Jaipur and Pilani. Sadly, the Ignitor got stolen (yeah, that sucked).

Right now, as I write this, I’m riding a Honda CB190X Tourism here in Singapore. I love the rush of speed, especially late at night with the cool breeze—it’s simply unbeatable.

Here’s a little glimpse of me riding at night:

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I was a design collaborator for the Science+C initiative through the Educational Development Center. I designed a three day data science curriculum for integration into high school biology, chemistry, and physics classes. I ran workshops with educators and iterated using their feedback. The curriculum will be used by the State of Massachusetts.

The Science+C project is a collaboration between the Massachusetts Department of Elementary and Secondary Education to create an alternate pathway to college and science careers for high school students by developing and testing three new computational science courses. These courses—Computational Biology, Computational Chemistry, and Computational Physics—will be available to all Massachusetts high schools beginning in the 2022-2023 school year.

I specifically worked as a design collaborator on the Data Science + Machine Learning units. The units were divided into data science, decision trees, clustering algorithms, and neural networks. I designed the data science curriculum, a 3 day workshop with a lesson and associated activities for each day.

I created lesson plans designed to introduce beginners to data science at a low level. I cover the basics of data science and what data scientists to, and designed activities to teach summary statistics and visualization usage in an interactive manner.

I ran this curriculum in a workshop with several high school science educators and iterated on the activities with them. Their feedback was invaluable for iterating and improving on the activities.

The curriculum will continue to go through iteration cycles until it pilots with schools across the state of Massachusetts in September 2022.

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After about a year working at Twitch, I decided that it was time to test out the service that I work on! I'm starting with streaming my very favorite game - Final Fantasy VII, if that wasn't obvious from the rest of this site - and I'm hoping to stream more of the classic Final Fantasies, playing guitar, and maybe - just maybe - myself applying to grad school. Reaching Partner status seems like a lofty goal, but I'd like to at least reach Affiliate.

Check my channel out at W0LFHEART on Twitch!

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So, July 2025. I found myself at the University of Tokyo’s International Research Camp, right next to the scenic Yamanaka River with Mount Fuji casually photobombing every group selfie. The camp gathered 46 participants - two seasoned researchers from the industry and a caffeine-charged squad of 44 PhD students hailing from ten universities across several countries and regions. Our mission? In teams of eight, dream up and design an innovative device for future factories.

• Event: University of Tokyo International Summer Camp, July 2025
• Project: Smart 3-in-1 Physical Separation Device
• Team: Nadia Oktiarsy (UTokyo), Takumi Endo (UTokyo), Yours Truly ☺ (NTU), Ting-Wei Emily Chang (Rice University), Zheng Zhou (ZJU)

So what’s this “Smart 3-in-1 Physical Separation Device”? Glad you asked. It’s a high-tech plastic sorting wizard that combines three physical separation methods—electrostatic, acoustic resonance, and electromagnetic (EM) fields—to pull apart mixed plastics with over 90-95% accuracy. While commercial systems often rely on Near-Infrared (NIR) or visible light spectra, they stumble on dark or dirty plastics. Our device? It laughs in the face of moisture, darkness, and contamination.

Here’s how it works, step-by-step on the conveyor belt of fame:

• Electrostatic Separation: Plastics get triboelectrically charged as they slide along the belt. Then, they pass through a high-voltage horizontal electric field (~40 kV), where their charge differences cause lateral deflection. This stage alone hits >95% sorting accuracy for many plastics.
• Acoustic Resonance Separation: Plastics vibrate differently based on their stiffness (Young’s modulus). We pump ~40 Hz acoustic waves, and their resonance amplitudes vary. Acoustic modules use these subtle shifts to split plastics, achieving around ~90% accuracy.
• Electromagnetic (EM) Separation: The real magic spark. A pulsed EM field at frequencies around 60 kHz and 100 kHz targets differential dielectric polarization dynamics. PET and PVC, for example, resonate with these frequencies differently—PVC, with chlorine atoms in its polymer chain, has higher dielectric loss and sticks to the belt longer at 100 kHz, while PET slides off. This stick-slip control lets us separate these plastics with >95% accuracy.

Why does this matter? Global plastics use is exploding—expected to nearly triple by 2060—and recycling rates still lag behind other materials. Mixed or contaminated waste often gets rejected or downcycled, losing valuable recyclable content. Our device aims to fix that by boosting sorting accuracy, reducing contamination, and enabling smarter factories without sacrificing throughput. Plus, it works well in real-world messy conditions—rain or shine, sticky or not.

From my side, I dove deep into the physics and system modelling for the electromagnetic module, tuning the pulsed field frequencies and stick-slip parameters to cleanly separate PET and PVC. While the team built the device, I pinged external APAC collaborators to help validate the models and coordinated testing plans. It’s no small feat handling dielectric polarization with ionic dynamics on a conveyor belt!

Our prototype processes 50–1,500 kg/hour depending on configuration, with a modest footprint that can scale up for industrial recycling lines. Budget-wise, setup costs range from US$118k to 195k, including maintenance. Not bad for a device that could significantly cut landfill waste, improve recycled polymer purity, and ramp up factory efficiency.

After weeks of whiteboards packed with equations, sushi breaks, and late-night rapid prototyping, we had a working system that could sort plastics reliably, fast, and with minimal fuss—even sometimes shocking the professors in the best way.

The best part? This isn’t just lab curiosity. It’s a stepping stone for circular economies, a boost to sustainable manufacturing, and a meaningful contribution to tackling one of the biggest waste challenges globally. Plus, I now inspect every plastic bottle like a hawk. No escape.

What's bettter? We won award for Best Innovation.

Update: Adding more pics, taken majorly by Prof. Yang Jianfei (the showman - who arranged it all for us NTU students)

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