Traffic Light Recognition
Robust CV pipeline for traffic light detection/classification under real-world conditions.
Computer VisionPyTorchAutonomous Systems
Hey there! I’m Rajdeep — welcome to my digital lab of AI, robots, and innovation!
MS Robotics @ WPI · ex-ZF · ex-Accenture
Engineering the Future: AI, Robotics & Autonomous Mobility
Building applied AI systems—from computer vision for autonomy to LLM-powered automation. Focused on robust, real-world deployment.
Featured Projects
Driver Distraction Detection
ML model for classifying distraction levels from time-series/vision signals; tuned for safety-critical thresholds.
MLTime SeriesSafety
Certificate Classification (Doc AI)
LLM + OCR stack for document parsing and certificate classification (LayoutLM, Azure Doc Intelligence, PaddleOCR, PyMuPDF, Docling, LlamaParse, PDFMiner).
LLMOCRDocument AI
Experience
Senior / Machine Learning Engineer — ZF Group
Oct 2022 – Jul 2025- Built CV and safety-critical ML for autonomous transport systems: traffic light recognition, driver distraction detection.
- Developed document intelligence stack for certificate classification using LLMs + OCR (LayoutLM, Azure AI Doc Intelligence, PaddleOCR, PyMuPDF, Docling, LlamaParse, PDFMiner).
- Owned benchmarking across frameworks to improve accuracy/latency; integrated pipelines with automotive-grade testing.
Application Development Analyst / Associate Software Engineer — Accenture
Sep 2020 – Dec 2021- Delivered ETL/data workflows (SAP BODS) and analytics (QlikView, Tableau, PowerBI, Informatica) across multi-project environments.
- Earned Fast-Track promotion for technical excellence and cross-team delivery.
M.S. Robotics (in progress) — Worcester Polytechnic Institute (WPI)
2025 – 2027- Focus: Robotics, Computer Vision, Applied AI/LLMs for autonomous systems.
- Projects: perception pipelines, simulation, and deployment-ready ML.