Pranav Patil

Full Stack AI/ML Developer with hands-on experience building end-to-end automation systems, AI-powered workflows, and production-grade web applications (React, Next.js, FastAPI, Python). Proven ability to integrate LLMs, RAG frameworks, and REST APIs into scalable automation pipelines. AWS-certified in Prompt Engineering. CGPA 9.3/10.

AI/ML Developer Intern - Samsung Innovation Campus

(2024-01 - 2024-09)

• Designed and shipped end-to-end ML pipelines (data ingestion → preprocessing → training → evaluation) across Regression, Decision Tree, ANN, and CNN architectures for production AI workflows.
• Processed and cleaned 50,000+ records for ML training pipelines, reducing data noise by ~30% and improving downstream model reliability.
• Achieved 15% accuracy gain via feature engineering, hyperparameter tuning, and regularization on TensorFlow and Scikit-learn models deployed in production.
• Collaborated cross-functionally to align model outputs with real-world operational objectives, simulating client-facing delivery workflows.

B.E. - Electronics & Communication Engineering - K.L.E Institute of Technology (VTU) (2022 - 2026)