Hi, I'm Aryan 👋

AK

About

Currently training language models at the Biodesign Institute and building RL environments for agents at Polymath (YC W26). On the side, I've been researching alignment, post-training and multi-agent systems.

In an agent-native world, I am obsessed with rabbit-holes of engineering and building things that people love. I love travelling and doing hackathons (recently won two awards at TreeHacks 2026). In my free time, I'm grinding chess or cycling until I run out of roads :)

I Grew Up in Six Cities

Here are some of my favorite clicks:

Work Experience

The Biodesign Institute

May 2024 - Present
Software Engineer, ML Research
- Cut inference costs by 93% ($36k annually) using efficient machine learning techniques, such as distillation & Flash Attention, for protein language models using PyTorch and Transformers libraries in Python.
- Optimized GPU usage by implementing distributed training with gradient checkpointing and memory-efficient batching using JAX and Slurm, cutting training walltime from 25 to 7 hours.
- Increased model throughput by 13x and reduced parameter count by 85% with knowledge distillation while achieving predictions within 3% of the state-of-the-art teacher model.

Polymath (YC W26)

Jul 2026 - Present
Fellow
- Building RL environments for benchmarking long-horizon AI agents

HealthGC

May 2025 - Dec 2025
Software Engineer Intern
Seed-stage startup backed by Floodgate and Rainfall Ventures. First Intern.
- Engineered a sub-200ms (P90) retrieval augmented generation (RAG) system with HIPAA compliance on multimodal data using PostgreSQL, Google Cloud, WebAssembly and JavaScript to personalize LLM responses.
- Developed tool calling functionality for web search and RAG for an LLM-based chatbot using Google Vertex AI, enabling contextual and up-to-date responses for 345k calls and 8.4 million messages by 40,000 people.
- Engineered fault-tolerant webhook infrastructure using Websockets, Express.js, and Docker achieving 99.9% uptime and 35% reduction in message delivery latency with graceful error handling.
Machine Learning Researcher
- Implemented a model inference API using vLLM for GPU memory management and FastAPI for RESTful endpoints supporting batch processing and concurrent requests, which increased inference throughput by 12x.
- Built a multi-agent benchmark to probe alignment conflicts in tool-calling LLM agents. Ran it on a Slurm managed HPC cluster, orchestrating 12 agent configurations across 9 models (650+ GPU-hours).

RCV Innovations

Jun 2023 - Jul 2023
Software Engineer Intern
- Built high-performance cloud-based backend server using TypeScript, Node.js, and Express.js to efficiently deliver digital twins and 3D assets, achieving 46% reduction in website loading time.
- Designed Power BI dashboards for A/B Testing which identified 3 critical user experience bottlenecks.

Education

Writing

Faking a Virtual Filesystem Over GitHub's API for Browser-based Agents

Engineering details on how I built git-fs, a coding agent that runs completely inside your browser.

Faking a Virtual Filesystem Over GitHub's API for Browser-based Agents

Should MCP Servers be Agents in Disguise?

Blog post + Case study on why 'under-the-hood' agents can improve the token efficiency of MCP servers.

Should MCP Servers be Agents in Disguise?

How Computation Graphs solve the Eager Execution Problem in PyTorch (torch.compile)

Technical deep-dive into why computation graphs help with memory management and compute amortization in PyTorch.

How Computation Graphs solve the Eager Execution Problem in PyTorch (torch.compile)
Research Publications

When Does Personality Composition Matter for Multi-Agent LLM Teams?

Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
Conference on Language Modeling (COLM 2026)

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering

Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
IEEE International Conference on Big Data 2024

ToolAlignBench: Investigating Alignment Conflicts in Tool-Calling Enabled LLMs

Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
Pluralistic Alignment Workshop at ICML 2026

Scikit-bio: a fundamental Python library for biological omic data analysis

Matthew Aton, Daniel McDonald, ..., Aryan Keluskar, ..., James T. Morton, Qiyun Zhu
Nature Methods (Dec 2025)

Evaluating Adaptive Personalization of Educational Readings with Simulated Learners

Ryan T. Woo*, Anmol Rao*, Aryan Keluskar, Yinong Chen
Proceedings of the BEA Workshop at ACL 2026

TM-Vec 2: Accelerated Protein Homology Detection for Structural Similarity

Aryan Keluskar*, Paarth Batra*, Valentyn Bezshapkin, James T. Morton, Qiyun Zhu
Honors Thesis (under review at a major conference)
Projects

Check out my latest work

I've worked on a variety of projects, from websites to scalable backend systems for AI agents. Here are a few of my favorites.

git-fs logo

Faking a filesystem over GitHub API to run coding agents and instantly chat with any repository fully in your browser. Wrote a blog about this.

TypeScript
Bash
Cloudflare Workers
Cloudflare Containers
Pi-Agent
just-bash
Canvas MCP logo

Canvas MCP

MCP Server that allows you to query your courses in the AI app of your choice. Over 2K tool calls in April 2026.

Python
JavaScript
httpx
Rest API
FastMCP
UV
Anthropic
EdTech
Agentic AI
Alice logo

Browser Extension that provides instant context and summaries for cited papers. Developed LLM pipelines to extract information from PDFs.

JavaScript
TypeScript
gulp.js
Chrome
HTML
CSS
Rest API
Gemini
Claude
Polymarket MCP logo

Polymarket MCP

Lets agents access Polymarket market data in the AI app of your choice. Over 50K tool calls on Smithery's leaderboard of April 2026.

TypeScript
Cloudflare Workers
Polymarket
Bun
Model Context Protocol
CloudStash logo

CloudStash

CloudStash is a macOS menubar app that uploads files to Google Drive and generates shareable links.

SwiftUI
Xcode
UIKit
Google Drive API
Google OAuth
Turing logo

Turing

Turing watches how you do tasks, how you reply to messages, how you work to learn your patterns and automate your tasks.

Python
Vision Language Models
Groq
Computer-Use Agent
Typescript
XML Builder logo

XML Builder

Anthropic, Google, OpenAI recommend using XML to structure your LLM prompts, so this tool helps you quickly generate structured XML prompts without the hassle of manual formatting.

React.js
Hono.js
TypeScript
SQL
Cloudflare R1
Google OAuth
Express.js
Vercel
irina (AI for Minesweeper) logo

irina (AI for Minesweeper)

AI that solves Minesweeper in record-breaking time. Uses a probabilistic approach, scans the grid, trains a Reinforcement Learning model to make decisions.

Reinforcement Learning
Python
TensorFlow
Pytorch
Jupyter Notebook
EasyWire logo

Machine learning model to analyze forex market trends and detect currency arbitrage. Achieved 5% reduction in losses using sentiment analysis and quantitative analysis.

Python
Machine Learning
FastAPI
HTML
CSS
Plaid
Docker
PicThis logo

PicThis

CLI tool to convert images to WebP format, reducing file sizes by at least 90% and automatically updating code references. npx picthis

JavaScript
TypeScript
Node.js
npm
CLI
Image Compression

SEOthing

CLI tool to skyrocket your Lighthouse score by converting images to WebP format, generating meta tags, and optimizing for better performance. npx seothing

JavaScript
Gemini API
Node.js
npm
CLI
Image Compression

MelodySyncer

Created a sub-100ms API to convert Spotify playlists to YouTube in Rust 🦀. Used multi-threading and developed a unique scoring algorithm which maximizes accuracy.

Rust
Tokio
Python
FastAPI
HTML
CSS
Google Cloud
Hackathons

I like hacking things (a lot)

During my time in university, I attended 11+ hackathons. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals within 2-3 days. I have made some of my best friends and memories at these hackathons :)

  • T

    TreeHacks 2026 (2x Sponsor Track Winner 🏆)

    Jiggle Wiggle
    Stanford, CA
    Jiggle Wiggle is a real-time AI movement coach that uses motion capture to analyze your body's movements and provide feedback to improve your limb coordination and balance. We won the Zoom x Render Track and runner-up award in Modal's AI Inference Track.
  • C

    CalHacks 2025

    Turing
    Berkeley, CA
    Turing watches how you do tasks, how you reply to messages, how you work, and personalizes your computer-use agent so your workflows can be automated based on your patterns and habits.
  • H

    HackMIT 2025

    Flashback
    Cambridge, MA
    We built a RAG for videos and developed it with smart glasses as the base to create a social media platform. I worked on facial recognition and task matching algorithm using OpenCV and Modal's Compute Platform, so the RAG could match the user's contacts to the video content.
  • H

    HackIllinois 2025 (Microgrant 🏆)

    Alice
    Urbana-Champaign, IL
    Built a chrome extension allowing researchers to learn more about the papers cited by simply hovering over the citations. Learned a ton about Model Context Protocol (MCPs) and PDF.js rendering engine.
  • C

    CalHacks 2024

    CuraRx
    Berkeley, CA
    Built a full stack web-app that allows users to track their medication schedules. Designed a multi-modal Agentic AI System to check-in on patients and detect for potential side effects using sentiment analysis.
  • H

    HackMIT 2024 (Sponsor Prize 🏆)

    InsightHire
    Cambridge, MA
    Awarded 1000$ in `Best Use of AI without an API`! Built a Python-Flask backend that uses Language Models to re-rank resumes and web-crawl to validate applicant resumes.
  • S

    SFHacks 2024 (Sponsor Track 🏆)

    Soul of SF
    San Francisco, CA
    Won the Best Use of AI and VerbWire Track!
  • L

    LAHacks 2024

    FreshUntil
    Los Angeles, CA
    Built a full stack web-app designed to help individuals manage their groceries more efficiently. We aim to Minimize Waste & Maximize Taste.
  • W

    WiCS Coding Contest 2024 + HKD Code-a-thon 2024

    Tempe, AZWon 1st Place Undergraduate Team (out of 150+ participants) at WiCS and 1st Place Overall at HKD Code-a-thon. Both of these were Leetcode-style coding competitions with questions in Data Structures and Algorithms.
  • A

    AI in Education by ScaleU (Honorable Mention 🏆)

    Scottsdale, AZ
  • O

    Opportunity Hack 2023 (Finalist)

    Tempe, AZTop 5 Finalist out of 100+ participants

Skills & Tech Stack

Programming Languages
TypeScript
JavaScript
Python
Java
C/C++
SQL
Machine Learning
PyTorch
JAX
TensorFlow
Keras
scikit-learn
Pandas
NumPy
Full-Stack Development
SpringBoot
Flask
React.js
Node.js
Next.js
MongoDB
PostgreSQL
HTML
CSS
AWS
GCP
Google OAuth
Tailwind
Technical Skills
Linux
Raspberry Pi
Arduino
Docker
VPS
Stripe API
GitHub
Bash
LaTeX
Contact

Get in Touch

Want to chat? Just shoot me a text on twitter or email me directly at contact@aryankeluskar.com.