- π Pursuing Master of Science in Computer Science at University of Southern California (USC)
- πΌ Former Analyst at Capgemini Technology Services India
- π Previously interned as an IoT Application Developer at Asha Electronics
- π‘ Interested in Scalable Full-Stack Systems, Data Engineering, and Applied Machine Learning
π Portfolio A detailed overview of my projects, experience, and background π Ajinkya Nagarkar
Built a scalable data ingestion platform (Python/Angular) handling >100K data points/min, improving analytics visibility by 60%.
Automated internship data workflows using React + Python, reducing manual processing time and improving faculty-student assignment efficiency.
Developed predictive models (Random Forest, LGBM, Linear Regression) to forecast maintenance needs and identify key environmental impact factors.
Automated ER diagram generation using local LLMs, Streamlit, and Ollama.
Text-to-SQL analytics system using Kimi K2 and DuckDB for intuitive data querying.
- π§ Engaging Attackers with a Highly Interactive Honeypot System Using ChatGPT β IEEE Xplore, ICCUBEA-23
- π° A Crypto Wallet for Farmers β Indian Patent Office
Summer 2026 internship opportunities in Data Engineering, Machine Learning, or Full-Stack Development where I can help build resilient, scalable systems and intelligent applications that make data come alive.

