What I Do
- LLM finetuning & custom deep learning: Model training, supervised and RL finetuning
- DataOps and MLOps: Building custom data and ML pipelines to terabyte (TB) scale and beyond
- AI agentic systems: Building agentic systems that can perform tasks autonomously
- AI SaaS: Backend, ML, Frontend, CI/CD, Deployment, Scaling
- Hardware-efficient bio/large models: Developing efficient architectures for biological sequence understanding — esmc.cpp, PepEmb
About me
I am a biomedical engineer turned machine learning (ML) engineer with experience building ML systems since 2018. I have worked at academic labs like TERI, IGIB, and IGBMC. My work revolved around building statistical and machine learning models in healthcare and biological sciences (genomics, proteomics, etc).
As a freelance consultant, I've worked in the patenting, e-commerce analytics, and SaaS industries.
Some of my work:
E-commerce: Systems for named entity extraction, information organization, product embeddings, information retrieval systems like semantic search, RAG, and low latency extreme classification tasks.
SaaS: Low latency (sub 100 ms) task-specific ML systems like classifiers for both image and text modalities, custom embedding models, and information extraction systems.
Patenting: Evaluated the feasibility of AI systems for patent-related applications.
For the past couple of years I have been learning full stack engineering. My tech stack of choice is:
- Pytorch
- FastAPI
- Vanilla JavaScript
- Postgres
- Docker
- Celery
- Nginx
- Git
- Coolify
- HTMX
- AWS
- Hetzner
I like to self host software. Currently I am self hosting coolify, databases, plausible, and my own websites and products.
Work
Currently I am working on building PatViz, which automates patent drawings and for patent researchers and agents.
I am also building DataEngUtils, a platform for data engineering utilities.
I am a maintainer of esmc.cpp, a C++ inference engine for protein language models.
Previously I was working on building AdTestPro (archived), which provides a platform for testing and optimizing ad campaigns.
Writing
I write about ML engineering, technology, and lessons learned from building production systems. Check out my blog for technical insights and project deep-dives.
Contact
If you have a project in mind or want to explore ideas, reach out.