Hey, I'm Bibin Oommen Mathew. I'm a software engineer and co-founder of Upbrew Technologies building products that care about the product as much as the code.
I like working at the intersection of engineering and product thinking: figuring out what to build, then building it well. Most of my time goes into making software that feels right.
I like understanding the problem before jumping into the solution.
I've found that the best work happens when you slow down to ask the right questions first. Who's this for? What does success look like? I try to think about users early and often. it usually saves a lot of rework later.
I lean towards simplicity, shipping early, and iterating based on what I learn. Nothing fancy, just trying to make useful things.
AI & Machine Learning
PyTorch, Custom Foundation Models, RAG, LangChain, Multi-agent orchestration, vLLM
Backend & Systems
Node.js, Python, FastAPI, Go, gRPC, Event-driven architecture, Supabase
Data Engineering
PostgreSQL, MongoDB, Redis, ClickHouse, Vector DBs, Prisma, Apache Hive
Cloud & DevOps
AWS, Kubernetes, Terraform, Docker, Advanced CI/CD pipelines
Frontend
React, Next.js, Vue, TypeScript, Tailwind CSS, WebGL
Mobile
Flutter, Dart, cross-platform architecture
Product
User research, roadmap strategy, shipping early and iterative delivery
Enterprise AI & Custom Model Development.
I partner with enterprise engineering teams to architect and build custom AI models from scratch. Moving beyond off-the-shelf agents, I deliver end-to-end machine learning solutions—from robust data pipelines and model training to high-performance inference infrastructure tailored to your proprietary needs.
- Foundation Model Development: Architecting and training proprietary domain-specific models from the ground up, tailored to your enterprise data.
- Enterprise Data Pipelines: Scalable, secure data ingestion and processing infrastructure designed for high-throughput model training.
- Inference Optimization: High-performance deployment strategies utilizing advanced quantization and custom inference engines for low-latency serving.
- Model Evaluation & Alignment: Rigorous testing frameworks ensuring models meet strict enterprise safety, compliance, and performance benchmarks.
- AI Infrastructure Strategy: Strategic guidance on hardware provisioning, distributed training architecture, and large-scale cost optimization.
Want to work together?
If you have a project in mind or just want to say hi, feel free to reach out. I'm always up for a good conversation.
Get in touch