Uday Lunawat

Passion

Senior Machine Learning Engineer and Software Engineer with over 7 years delivering enterprise-grade AI and software solutions. I focus on moving models into production — writing reliable model code, robust APIs, and repeatable deployment pipelines.

My work spans Computer Vision, NLP, and agentic systems that automate analytics and workflows. I prefer shipping maintainable code and building observability into ML systems from day one.

I enjoy open-source tooling and pragmatic engineering: making complex systems simple to operate and measure.

Experience

FDE — Google

FDEGoogleAI SystemsSoftware EngineeringFDEGoogleAI SystemsSoftware Engineering

Joined Google as an FDE, focused on building and delivering production software and AI systems.

June 2026 – Present · Mumbai

Senior Machine Learning / SWE

LangGraphLangChainMulti-AgentClaude ArchitectPythonLangGraphLangChainMulti-AgentClaude ArchitectPython

Led engineering for Fractal AI (India's First AI Unicorn Company), a multi-agent orchestration platform (LangGraph / LangChain). Owned tool onboarding and metadata lifecycle to productize agent behaviors for largest US telecom's business use.

300+ agents onboarded11,000+ automated workflows300+ agents onboarded11,000+ automated workflows

Claude Certified Architect

Nov 2024 – June 2026 · Pune

ML Engineer — Chugani

MTCNNFaceNetLiveliness DetectionAWSMTCNNFaceNetLiveliness DetectionAWS

Built a real-time liveliness detection service (MTCNN + FaceNet), converted prototypes to modular MLOps pipelines, and established monitoring + retraining flows on AWS.

2022 – 2023 · Remote

ML & ETL Engineer — Yang

AI + ETLSmart FactoryIPQC SystemTableauAI + ETLSmart FactoryIPQC SystemTableau

Delivered AI + ETL systems for smart-factory operations; shipped a 24/7 IPQC audit system (≈200 hours/week saved) and dashboards across 20+ vendor sites.

2019 – 2022 · Remote

Internships - Junior ML Engineer and Data Analyst

Data AnalysisMachine LearningInternshipPythonData AnalysisMachine LearningInternshipPython

Completed internships at Tata Consultancy Services and Infosys, gaining hands-on experience in machine learning, data analysis, and software development practices.

2018 – 2019

Projects

RockReveal AI

PythonTelegram BotMLOpsW&BPythonTelegram BotMLOpsW&B

Image classification deployed as a Telegram bot. Integrated Weights & Biases for experiment & artifact tracking and a simple MLOps workflow for continuous improvements.

⭐ — · 🍴 —

Automatic License Plate Recognition (ALPR)

Computer VisionDeploymentStreamlitComputer VisionDeploymentStreamlit

High-accuracy ALPR system with end-to-end pipeline and a Streamlit web app for demo and deployment.

⭐ — · 🍴 —

Real-Time Liveliness Detection

MTCNNFaceNetAWSMTCNNFaceNetAWS

Anti-spoofing pipeline (MTCNN + FaceNet) optimized for low-latency deployment on AWS with pruning/quantization applied.

⭐ — · 🍴 —

Covid-19 X-ray Analysis

Deep LearningHealthcareDeploymentDeep LearningHealthcareDeployment

Real-time deep learning classifier for X-ray images, with notebooks and deployment tooling for evaluation and demo.

⭐ — · 🍴 —

Agentic Data Analysis (Google ADK)

AgenticGoogle ADKData AnalysisAgenticGoogle ADKData Analysis

Autonomous data-analysis agents that automate EDA, visualization, and report generation — implemented as a folder inside Data-Science-Projects.

⭐ — · 🍴 —

PDF2Podcast

Generative AITTSProductivityGenerative AITTSProductivity

Extracts text from PDFs and converts to podcast-style audio using TTS + summarization, with demo scripts and deployment notes inside the parent repo.

⭐ — · 🍴 —

Other ML / DS Projects

NotebooksML ExperimentsData PipelinesNotebooksML ExperimentsData Pipelines

Collection of notebooks and demos covering model prototyping, data pipelines, visualizations and small utilities.

⭐ — · 🍴 —

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Senior Machine Learning Engineer

Software Engineer

Passion