Het Patel — Machine Learning Engineer building production GenAI workflows, autonomous agents, and ML pipelines. Turning model research into software people actually use.
About
Currently engineering Generative AI workflows and production ML pipelines at Shaip — one of the leading AI training-data companies. Before that, AI/ML intern at RAAPID and a GSSoC '24 mentor to 40+ open-source contributors.
I care about systems that hold up in production, not just demos that impress in a notebook.
Selected work
Autonomous AI agent platform with document summarization, contextual Q&A, and automated drafting via LLM orchestration.
Document intelligence platform — vector-based semantic search and context-aware RAG responses over arbitrary PDFs.
LLM-powered resume analysis — structured PDF parsing, contextual scoring, and automated email workflows.
High-accuracy image processing to extract product attributes from low-resolution images. Large-scale dataset validation.
AI-driven stock analytics dashboard with real-time data and ML trend prediction. Deployed on AWS EC2 and HF Spaces.
40+ contributors guided across open-source AI/ML projects — reviews, architecture guidance, and shipping discipline.
Experience
Shaip
Designing internal AI automation systems — autonomous research agents, operational dashboards, and intelligent email workflows — adopted across 3+ business teams. Building Python/Bash/Perl data engineering pipelines on AWS S3 + GCS, processing 10,000+ DICOM medical files. Driving technical leadership on AI initiatives; deployed systems cut manual operational effort by 60%+.
RAAPID Inc.
Designed an end-to-end multi-agent AI recruitment platform using LLMs, RAG, and voice agents — cutting manual effort by 85% and time-to-hire by 70%, with 95%+ screening accuracy.
GirlScript Summer of Code
Mentored 40+ contributors across multiple open-source AI/ML projects — reviews, scoping, shipping guidance.
GirlScript Summer of Code
Contributed to multiple AI/ML projects before stepping into a mentor role.
Nirma University · Minor in Software Engineering
Skills & stack
Certifications
Philosophy
Build what holds up in production — not just the demo.
— Code · Create · Ship