About
I am a Computer Engineering student at VIT Pune focused on building practical AI products that can ship and scale. My work sits at the intersection of LLM systems, backend engineering, and clean frontend experiences.
I have built projects such as FraudEx (94% anomaly detection accuracy) and Tambo Lens (natural language to SQL analytics in under 2 seconds), while continuously improving model quality, latency, and usability.
As Technical Head at Developers Student Club, Kopargaon, I led an 8-member team to organize hackathons and workshops, and mentored 20+ students in machine learning, full-stack development, and version control best practices.
Work Experience
Skills
Selected AI and Engineering Work
A focused set of projects across LLM systems, applied machine learning, and full-stack product engineering. Each project emphasizes measurable outcomes such as accuracy, latency, and usability.
Built an agentic travel planning system that integrates multiple real-time APIs to generate hyper-personalized itineraries. The orchestration layer combines user preferences, constraints, and live context to deliver reliable plans with low latency.
Continuous Learning
I completed 3 focused training programs to strengthen my foundation in AI, Python, machine learning, and systems engineering. These experiences directly shaped how I build production-ready intelligent applications.
Data Science, ML, DL and NLP Bootcamp
Udemy
Completed an intensive training program covering machine learning, deep learning, NLP workflows, and practical MLOps concepts.
Industrial Training on Python
ThoughtBliss Solutions, Pune
Hands-on training in advanced Python programming and data science libraries including NumPy, Pandas, and Matplotlib.
Computer Hardware and Networking
Indo German Tool Room, Aurangabad
Completed practical training in hardware diagnostics, system maintenance, and enterprise networking fundamentals.