01About
Engineering with an ML product mindset.
01Approach
My work sits between model experimentation and shipping systems that other teams can depend on. That includes training loops, evaluation pipelines, retrieval quality, backend APIs, and the product surface that exposes model capabilities cleanly.
Based in Bengaluru, Karnataka. Focused on VLMs, diffusion workflows, RAG systems.
Multimodal AI systems, Computer vision pipelines, RAG and LLM applications, Production ML deployment
02Focus
- 01
Vision + GenAI
Training, evaluation, and adaptation of vision-language and diffusion models for applied product use cases.
- 02
ML Platforms
FastAPI, Docker, and cloud-backed serving workflows for experiments that need to survive real production constraints.
- 03
Retrieval Systems
Embedding pipelines, ranking, and multimodal retrieval flows built for speed, relevance, and measurable business impact.
03In numbers
- years building ML systems
- 2+
- SKUs improved in model workflows
- 100+
- selected projects, written up
- 8
04Education
Kalinga Institute of Industrial Technology
B.Tech in Computer Science and Engineering
Strong academic grounding in machine learning, deep learning, computer vision, and software systems.
2020 - 2024
9.15
CGPA