Aarya
Srinivasan

I'm a student at Berkeley working on machine learning and AI. Right now I'm a founding engineer at NextXI, where we turn cricket footage into coaching metrics that help young players improve and get noticed. I've also spent a lot of time on LLM systems, cutting inference costs and making AI more reliable.

UC BERKELEY ’28/BS COMPUTER SCIENCE · BA DATA SCIENCE

RÉSUMÉ →

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HOVER TO RESOLVE

PYTHON · ASYNCIO · FASTAPI · C/C++ · SQL · R · JAVA · JAVASCRIPT · TYPESCRIPT · NODE · REACT · NEXT.JS · PRISMA · PYTORCH · TRANSFORMERS · HUGGING FACE · CUDA · TRITON · FLASHATTENTION · VLLM · SGLANG · RAG · YOLO · OPENCV · SCIKIT-LEARN · KALMAN FILTERING · LLMLINGUA · DOCKER · AWS SQS · POSTGRESQL · SUPABASE · GIT · LINUX ·

Experience

NextXI

FOUNDING ENGINEER

Trained custom YOLO detectors alongside a pose estimation model to track body keypoints, then wrote the OpenCV post-processing pipeline with Kalman filtering that stabilizes the output into clean joint trajectories and derives coaching metrics. Shipped the production Next.js / TypeScript / Prisma scouting platform, connected to the CV service by a Postgres-as-a-queue worker with idempotent job handling.

2026 —

UC Berkeley

DATA SCIENCE RESEARCH ASSISTANT

Processed raw 10-K filings into corporate restructuring and reorganization datasets, implemented the validation protocols that resolve noise for downstream econometric and ML modeling, and programmed a Hugging Face and LLM pipeline to automate scraping and processing of SEC filing data.

2026

AshaDx

SOFTWARE ENGINEERING INTERN

Researched ML architectures for an AI pipeline automating de novo antibody design for clinicians. Designed and built the company database in Supabase, and automated contact routing with Make webhooks, eliminating manual lead triage.

2026

Sync Visual Media

SOFTWARE ENGINEERING INTERN

Built full-stack React and Python client platforms, lifting visitor-to-customer conversion roughly 15% per client, and engineered SEO rendering pipelines (metadata tagging, structured schema, image indexing) across 100+ digital assets.

2025

UQ Child Health

RESEARCHER & DATA ANALYST

Analyzed 500+ pediatric intensive care studies into a standardized outcome-set database, designed the REDCap collection system, and authored a systematic review protocol registered on PROSPERO.

2024

Footnotes

Other work, projects, coursework, awards, and education.

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AaryaSrinivasan

LLMBDA

NextXI

Sid

Experience

Footnotes

Aarya
Srinivasan