Manav Patel Resume

Associate AI Engineer · E2M Solutions · Ahmedabad

Manav Patel

I build AI that does real work. RAG systems, chatbots, computer vision and automations that people use every day.

See my work Download resume

Press and hold. Five red lights, then we go.

Lap 01 · Red Bull Racing

Eleven teams. One lap through my work.

01 · About

From traffic cameras to language models.

I started in computer vision, counting cars on live roads at BISAG-N. Today I design RAG systems, AI chatbots and automation workflows at E2M Solutions, and ship them inside full-stack apps.

Lap 02 · Ferrari

  • 0CGPA, B.E. Computer Engineering
  • 0AI roles since January 2025
  • 0projects shipped on GitHub
  • SIHSmart India Hackathon 2023 team

02 · Experience · Lap 03 · Mercedes

E2M Solutions

Ahmedabad, India · Oct 2025 to now

  1. Associate AI EngineerApr 2026 to now
  2. AI InternOct 2025 to Apr 2026
  • Built and deployed AI automation workflows in n8n and Zapier that take repetitive business steps off people's desks.
  • Developed full-stack applications with AI features built in, for real client use cases.
  • Designed RAG systems and AI chatbots that answer with the right context.
  • Connected LLMs, APIs and data pipelines into complete AI products that make operations run smoother.

03 · Experience · Lap 04 · Audi

BISAG-N

ML Engineer Intern · Gandhinagar, India · Jan 2025 to Apr 2025

  • Built a real-time traffic management system with Python, OpenCV and YOLO for vehicle detection.
  • Processed live and recorded video to count vehicles across multiple lanes with high accuracy.
  • Stored vehicle counts and timestamps in SQL for later analysis.
  • Improved detection by fine-tuning model parameters and speeding up the video pipeline.

04 · Project · Lap 05 · McLaren

Smart Traffic Management System

Real-time traffic monitoring from video. It detects and counts vehicles lane by lane, then stores every count for analysis.

  • Python
  • Flask
  • YOLOv12
  • OpenCV
  • PostgreSQL
  • Video processing and computer vision on live and recorded footage.
  • Vehicle detection and counting across multiple lanes.
  • Automatic storage of traffic data for monitoring at scale.
View the code on GitHub

05 · Project · Lap 06 · Williams

PDF Q&A Agent

Ask questions of any PDF or ArXiv paper and get answers grounded in the text itself.

  • Python
  • OpenAI
  • Vector database
  • Streamlit
  • Retrieval-Augmented Generation over your own documents.
  • Text extraction, chunking, embeddings and vector search by meaning.
  • An interactive Streamlit app for asking questions in real time.
View the code on GitHub

06 · Project · Lap 07 · Alpine

Customer Support Chatbot

A support bot that works out what the customer wants, asks for anything missing and opens the ticket.

  • Python
  • SQL
  • Logistic Regression
  • Intent detection and entity extraction for accurate answers.
  • Multi-turn conversations that collect missing details.
  • Ticket creation plus analytics on every request.
View the code on GitHub

07 · Skills · Lap 08 · Aston Martin

Setup sheet

The tools I reach for, from training a model to putting it in front of users.

Languages
PythonSQL
AI and ML
PyTorchTensorFlowKerasScikit-learnOpenCVLLM integrationRAG systems
Frameworks
FastAPIFlaskStreamlit
Tools
GitGitHubn8nZapierPower BITableau

08 · Education · Lap 09 · Cadillac

Gujarat Power Engineering and Research Institute

GTU · Mehsana, India · 2021 to 2025

8.66CGPA · B.E. Computer Engineering

08 · Education

The National Highschool

Ahmedabad, India · 2019 to 2021

82%HSC

09 · Leadership · Lap 10 · Racing Bulls

Leading from the pit wall

  1. Team Leader, College ProjectsJun 2021 to Jul 2024Led teams through design engineering projects across the engineering program.
  2. Team Member, Smart India HackathonSep 2023Worked with my team on ideas for a national problem statement at SIH 2023.

10 · Contact · Lap 11 · Haas

Your move.

Hiring for AI or ML work, or have a project in mind? Email is the fastest way to reach me.

manavrpatel1@gmail.com

© 2026 Manav Patel. Fan-made portfolio, not affiliated with Formula 1, the FIA or any team. Team names, logos, liveries and car photos belong to their owners. The camera moves between the real photos were generated with AI.