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I'am Moazam

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About

I'am Moazam

GenAI Technical Lead with 3 AI patents and award-winning production systems serving 100+ engineers daily at Stellantis. Recognized as company-wide Genius Award winner (2023) and Top AI Talent (2025) for pioneering work in automotive AI. Expert in RAG architectures, LLM fine-tuning (LoRA/QLoRA/PEFT), and safety-critical automotive AI with proven 15-30% efficiency gains. Passionate about building production-ready GenAI systems that deliver measurable business impact, from multi-modal copilots deployed to vehicle fleets to requirement engineering automation tools used by engineering teams daily.

Education and Work Experience

Oct 2023 - Present

Stellantis, Paris

GenAI Tech Lead

🏆 Awards & Recognition:
  • Top AI Talent (2025) - Company-wide recognition for AI leadership at Stellantis
  • Genius Award (2023) - Best Patent, featured on official Stellantis LinkedIn
GenAI Copilot for Requirement Engineering: Led architecture and implementation of production copilot (Claude Sonnet via Bedrock) automating statecharts, unit tests, and diagrams for 100+ engineers. Achieved 15-30% time savings. Iterating toward an agentic approach with sandbox execution. Leading a 6-engineer team (architecture, code review, mentorship). Patent Portfolio & Innovation:
  • Invented 3 GenAI automotive patents (2 granted FR, 1 PCT application WO2025062082A1) for LLM-based vehicle troubleshooting and CAN signal interpretation. Patents triggered the customer-facing copilot project.
  • "Method and device for providing vehicle operating information" (FR3153459A1)
  • "Method and device for providing information about an operating anomaly affecting a vehicle" (FR3153460A1)
  • "Method and device for providing information about an operating anomaly affecting a vehicle" (Worldwide) (WO2025062082A1)
Automotive Customer Copilot: Architected multi-modal copilot deployed to US vehicle fleet. Designed custom multi-stage RAG (document relevance filtering, query decomposition with parallel execution) orchestrated via LangGraph. Fine-tuned Mistral for function calling, document relevance, and question decomposition. Integrated speech-to-speech capabilities.

Nov 2022 - Oct 2023

Stellantis, Paris

Machine Learning Engineer

Face Alignment for Driver Monitoring: Delivered end-to-end 3D face alignment system for automotive safety applications, optimized for edge hardware with sub-20ms latency. Owned complete pipeline from data collection strategy through model architecture to production-ready deployment.

Feb 2022 - Sep 2022

Boxy, Paris

Computer Vision Engineer (Master's Thesis Internship)

Computer Vision & Production ML: Developed 2D pose estimation model with REST API serving 10K+ daily requests (Flask, Redis) achieving sub-100ms response times. Created Airflow data pipelines (70% manual effort reduction) and GitLab CI/CD workflows (99.5% deployment success). Master's thesis: multi-perspective 3D pose estimation and tracking for real-time applications.

2020 - 2022

University Jean Monnet, France University of Eastern Finland, Finland

Erasmus Mundus Joint Master Degree, Photonics for Security Reliability and Safety (PSRS)

2019 - 2020

ValueLabs, Hyderabad

Data Scientist - AI Consultant

Predictive Analytics & ML Solutions: Developed predictive maintenance system using LSTM and Prophet for time-series anomaly detection on industrial sensor data. Built models for supply chain optimization and resource allocation across industrial verticals.

2015 - 2019

Hindustan University, Chennai

Bachelor of Technology, Computer Science and Engineering

GPA: 9.44/10

2020 - 2022

University Jean Monnet, France University of Eastern Finland, Finland

Erasmus Mundus Joint Master Degree, Photonics for Security Reliability and Safety (PSRS)

Specialization in Photonics and Machine Learning

2022 - Current

Boxy (ex. Storelift)

Master Thesis Internship

2021 - 2022

University Jean Monnet (UJM)

Semester 3

2021 - 2021

University of Eastern Finland (UEF)

Semester 2

2020 - 2021

University Jean Monnet (UJM)

Semester 1

2015 - 2019

Hindustan University, Chennai

Bachelor of Technology, Computer Science and Engineering

Information Technology

2019

Yiliz Technical University (YTU)

Final Year Project

Research project under Dr.Zeyneb Kurt on the topic "Predicting the disease mechanisms of Psoriasis using a case controlled study"

2018

Yiliz Technical University (YTU)

Semester Exchange Program in semester 6

Erasmus+ program semester exchange program

Hobbies

Running
Running
Swimming
Swimming
Scuba Diving
Scuba Diving (N1 licence holder)
Basketball
Basketball

Skills

Professional Skills

These are the skills that I have been recently working on during my projects and internships.

PyTorch
90%
OpenCV
85%
GAN's
88%
LLM Fine-tuning & Deployment
85%

Professional Skills

These are the top skills that I learned and worked on my previous job.

Python
95%
Django
85%
PySpark
65%
Transformers
75%

Projects

IrisSeg
OCR Flask App
jsonSpark
Doodle Classifier
Face Detection
DrawBot