Abrit Pal Singh

I'm Abrit, an ML Engineer based in Chennai. I build and ship end-to-end ML systems — from model training and fine-tuning with PyTorch and DeepSpeed to production deployment on AWS. My work spans speech/NLP, Gen-AI applications, and large action models.

I'm strong in Infrastructure as Code (CloudFormation, CI/CD pipelines, VPC networking) and care about making ML reproducible, scalable, and cost-efficient. I co-authored a paper with IIT Madras on textless NLP and recently gave a talk on Agentic RAG in Edge Applications.

Experience

Machine Learning Engineer — Toyota Connected India
July 2022 – Present · Chennai

Developed VQ-VAE based models for acoustic unit discovery in end-to-end speech systems, achieving a 60% training speedup through One-Cycle LR scheduling. Designed a Large Action Model (LAM) for Android/iOS automation testing using Claude Sonnet 3.5 and GPT-4o. Built a multi-format translation app handling PPT, Excel, PDF, and images while preserving formatting. Refactored an internal Gen-AI chat app to support multiple LLMs with cost estimation, deployed within a VPC for data privacy. Own CI/CD and IaC pipelines for production environments on AWS.

Software Developer — Blod.in
July 2020 – July 2021 · Chennai

Built the front-end of a health-tech web application using React.js and Firebase. Worked closely with the back-end team on API integration and contributed to UI/UX decisions.

Frontend Developer — Freelance
Feb 2020 – May 2020

Designed and developed the front-end of a student assignment-help platform with React, building screens for tutor and student workflows.

Publications

Textless NLP – Zero Resource Challenge with Low Resource Compute. arXiv. With IIT Madras.
Agent Enhancement using Deep RL Algorithms for Multiplayer Game (Slither.io). Journal.
Humor and Offense Detection and Classification using ColBERT Embeddings. ACL Anthology.
Humor Detection and Funniness Score Prediction using Deep Learning Techniques. Academia.edu.

Talks

October 2025, talk about "Agentic RAG in Edge Applications" at Techceleration #23: Let's Talk Tech, Toyota Connected India. Watch on YouTube.

Skills

ML/AI: PyTorch, DeepSpeed, PyTorch Lightning, VQ-VAE, CPC, AutoEncoders, LR Schedulers, Speech Technologies

Gen AI: LLMs, Large Action Models, RAG, Prompt Engineering, ColBERT, Emotion Detection

Cloud: AWS, CloudFormation, EC2, Lambda, VPC, CI/CD, GitLab Runners, Infrastructure as Code

Education

SSN College of Engineering — BE Computer Science and Engineering, 2022.
Tyndale Biscoe School — Higher Secondary, 2018.