Open for freelance and contract work

I turn models intoproducts that ship.

Het Patel, Machine Learning Engineer at Shaip. I build LLM apps, AI agents, vision pipelines and the full stack around them. Based in Ahmedabad, working with teams anywhere.

Python LangChain PyTorch OpenAI API RAG FastAPI Next.js PostgreSQL Docker AWS OpenCV Hugging Face AI agents Gemini Pinecone CI/CD Python LangChain PyTorch OpenAI API RAG FastAPI Next.js PostgreSQL Docker AWS OpenCV Hugging Face AI agents Gemini Pinecone CI/CD

About

Engineer first, researcher when it helps.

Short version: I like hard data problems and I like shipping them.

I'm an AI engineer at Shaip, where I design the systems that keep large data and AI projects moving: LLM document pipelines, analytics assistants, computer vision QA and the automations teams rely on every day.

Before Shaip I built a multi agent recruitment platform at RAAPID and mentored open source contributors at GirlScript Summer of Code. I studied Electronics and Communication at Nirma University with a minor in Software Engineering.

What I care about is simple. Does it hold up in production, and did it ship on time.

  • NowMachine Learning Engineer, Shaip
  • BasedAhmedabad, India
  • FocusLLM apps, agents, vision pipelines, full stack
  • Open toFreelance builds, contract work, consulting

Selected work

Systems built to run in production.

Vision pipelines, agents and document tools. Scroll and the cards stack.

Private build 01 / 05

VisageQC

Computer vision QA pipeline for facial dataset deliveries. Face detection with a fallback model, a zero shot SigLIP 2 cascade for rejection codes, ArcFace clustering for subject identity, and confidence gated human review for anything uncertain.

PyTorchONNX RuntimeInsightFaceSigLIP 2OpenCV
Ask me about it
Open source 02 / 05

AutoAgentX

Autonomous agent platform for document summarisation, contextual Q&A and email drafting. LangChain orchestration across providers with persistent memory and tool calling, in a modular FastAPI and Streamlit architecture.

FastAPILangChainStreamlitDockerSQLite
View repository
Amazon ML Challenge 03 / 05

VisionCraft

Extracts structured product attributes from low resolution images with ESRGAN super resolution, CRAFT text detection and EasyOCR. Includes metadata validation and OCR corruption checks for large dataset quality.

ESRGANCRAFTEasyOCROpenCV
View repository
Open source 04 / 05

ChatPDF

Document intelligence over any PDF. Vector based semantic search with FAISS and context aware answers through a RAG chain, wrapped in a simple Streamlit interface.

LangChainFAISSPyPDF2Streamlit
View repository
Under NDA 05 / 05

More work I can walk you through.

These are private builds and client builds, so they are not listed here. On a call I can walk you through relevant examples and how they were put together.

Get in touch

Experience

Where the work happened.

Dec 2025 to now

Machine Learning Engineer

Shaip AI, a Ubiquity company

  • Design and ship internal AI systems: LLM document pipelines, analytics assistants and automations adopted across business teams.
  • Own multimodal data pipelines on AWS S3 and Google Cloud Storage, from ingestion to validation.
  • Lead AI initiatives, present solutions to senior leadership and guide rollouts end to end.
May to Jul 2025

AI and ML Intern

RAAPID Inc.

  • Delivered a multi agent recruitment platform using LLMs, RAG and voice agents, cutting screening effort by 85% and time to hire by 70%.
  • Shipped a real time recruiter dashboard with CI/CD, monitoring and 95%+ screening accuracy.
Aug to Nov 2024

Open source contributor, then mentor

GirlScript Summer of Code

  • Mentored 40+ contributors across AI and ML projects: reviews, scoping and shipping guidance.
2022 to 2026

B.Tech, Electronics and Communication

Nirma University, minor in Software Engineering

Skills

The stack I reach for.

Grouped by how I actually use them. Hover a tile to light it up.

GenAI and agentswhat I build most days

LangChain
RAG
AI agents
Tool calling
OpenAI API
Gemini
Hugging Face
Chroma
Pinecone
FAISS
Prompt engineering

ML and visionmodels and data

PyTorch
scikit-learn
OpenCV
ONNX Runtime
Pandas
NumPy
ETL pipelines
Data validation
Multimodal data

Backend and webthe product around the model

Python
TypeScript
FastAPI
Flask
Next.js
Astro
REST APIs
PostgreSQL
MySQL
MongoDB
SQLite

Cloud and opskeeping it running

AWS
Google Cloud
Docker
CI/CD
Railway
Vercel
Linux
Bash
Git
Monitoring

Freelance

Need something built? I do that too.

Startups, businesses and teams. Fixed scope, weekly demos, clean handover.

AI agents and agentic workflows

Agents that research, draft, route and act on your behalf, with tool calling, memory and guardrails you can trust.

LangChainOpenAIGeminiTool calling

LLM apps and RAG

Chat with your documents, extraction pipelines, text to SQL and assistants grounded in your own data.

RAGVector DBsExtractionEvals

Full stack web apps

Dashboards, portals and SaaS products with auth, billing, clean APIs and a UI people enjoy using.

Next.jsFastAPIPostgreSQLStripe

Have something to build?

Send a short note on what you need. I reply within a day, usually sooner.

Email me LinkedIn