I am an AI/ML Engineering student with hands-on experience building scalable data pipelines, RAG-based LLM applications, and executive-grade BI dashboards. With a track record of transforming complex 100,000+ record datasets into measurable business insights, I am deeply passionate about applying deep learning and large-scale data systems to solve real-world problems.
Currently pursuing my B.Tech in Computer Science & Engineering with a specialization in AI/ML at JIS College of Engineering, I have worked across Power BI dashboard setups, predictive analytics, and conversational agent workflows. I am actively seeking internships and full-time engineering opportunities where I can design robust models and deploy intelligent software pipelines.
B.Tech in Computer Science & Eng.
AI/ML Specialization (Expected 2027)
JIS College of Engineering
Artificial Intelligence &
Machine Learning Systems
Python, SQL, RAG Pipelines,
LangChain, Power BI
Open to internships &
full-time opportunities
Engineered an end-to-end Retrieval-Augmented Generation (RAG) pipeline to enable context-aware question answering over custom documents. Integrated Groq API and Ollama for low-latency LLM inference, and optimized embedding/retrieval stages using a FAISS vector store.
Analysed 100,000+ transaction records using optimized SQL queries and Python pipelines to uncover key behavioral segments. Powered a retention strategy delivering a 25% improvement in retention rate, and built interactive Power BI reports with custom DAX KPIs.
Modelled the Spotify Top 50 global dataset, performing multi-dimensional analytics on song popularity, duration, artist rank, and album trends. Prototyped UI layouts in Figma and implemented interactive filters with time-intelligence DAX measures.
Built and presented a full-stack application that outperformed 50+ competing teams, demonstrating end-to-end system design, engineering rigour, and strong presentation/communication skills.
Designed and built a Smart Classroom Management System using Laravel, improving operations efficiency, user access levels management, and real-time activity tracking.
Designed and developed an AI Powered Financial Advisory Platform. The solution analyzes property metrics and historical performance indicators to aid user investments.
Spearheaded coordination and planning logistics for InnovoCon 2025. Handled developer track allocations, event setup tracking, and program execution scheduling to host technical panels.
Created Fakebuster AI - a web classifier utilizing machine learning models to detect misinformation campaigns, fake quotes, and manipulated data elements across feeds.
I am actively seeking internships and full-time opportunities in AI/ML, data science, and analytical roles. Feel free to reach out to discuss work opportunities or collaborations!
Email Me"Let's build something amazing together."