2024
Machine Learning Specialization
Stanford University & DeepLearning.AI
Experience & skills
Resume
AI/ML engineering on real hardware: robotics and edge AI, computer vision, and LLM agents and RAG. Everything on the PDF, laid out so you can dig in.
- Name
- Pranav Chetan
- Now
- AI/ML Engineer Intern · LTTS
- Degree
- B.S. Computer Science · Dec 2025
- Status
- Open to roles
2023 → now
Timeline
-
2023
Project
F1 Grand Prix winner prediction
Race-outcome and driver-ranking models trained on 10+ seasons of F1 data. Random forest, gradient boosting and a DNN, scored with NDCG and MAP.
Case study -
2024
Certification
Machine Learning Specialization
Stanford University & DeepLearning.AI.
-
2025
GM sponsored
Public policy analytics
Conversational AI over congressional data. RAG grounded in Medallion Gold tables, with access boundaries and full audit logging.
Case study -
2025
Education
B.S. Computer Science
Wayne State University, Detroit, MI. GM-sponsored project track; coursework in applied AI, machine learning, data analytics, algorithms and full-stack development.
-
2025
Milestone · December 2025
Graduated from Wayne State University
B.S. in Computer Science, completed in December 2025.
-
2026
Work · April 2026 – present
AI/ML Engineer Intern, L&T Technology Services
Building AI systems that run on real hardware: edge compute, mobile robots and industrial robot arms.
- Autonomous tracked inspection robot. A LiDAR-guided robot on an NVIDIA Jetson Orin Nano, with an on-device inspection pipeline and browser teleoperation.
- Vision-guided UR5e defect rejection. An AI inspection pipeline (EfficientAD, YOLO, Qwen3-VL) paired with a UR5e arm that removes defective items from a food-production conveyor.
- Deere Assist. A voice-first edge AI assistant for John Deere equipment, with an LLM agent and multi-stage RAG running on an ARM edge device.
Toolbox
Skills
Used in
Showing 39 skills · click one to see where I've used it
Credentials
Certifications
IBM · Coursera
Python for Data Science, AI & Development
IBM