Kedar Limbalkar

Machine Learning Engineer and Data Scientist with hands-on expertise in deep learning, NLP, LLMs, computer vision, and end-to-end ML pipelines. Proficient in RAG workflows, model fine-tuning, prompt engineering, MLOps, and Docker deployment. Proven track record of building and deploying production-grade AI systems with measurable accuracy and latency improvements.

Business Analyst Intern - Intucate

(2026-01 - 2026-04)

• Analyzed content asset performance metrics using data analysis and EDA techniques, identifying trends that improved educational engagement outcomes by 15% for target demographics.
• Collaborated with product and engineering teams to translate business requirements into structured workflows, aligning roadmap priorities across 3+ departments.

MS - Computer Science: Machine Learning & AI Engineering - Woolf University (2025 - 2027)

B.Tech - Computer Engineering - Government College of Engineering, Jalgaon (2021 - 2025)