• Leading 4 large-scale client Projects for the past 3 months.
• Developed 2 custom Natural language to SQL Chatbots for international projects accommodating datasets having 1 million+ records.
• Optimized pipeline for NL2SQL using LangChain and Llama-Index to reduce output fetching time from 15 seconds to 5 seconds increasing performance by 33%.
• Crafted FastAPI endpoints and admin functionalities for deployed NLP applications for AI Demos secured by Google Auth authentication impacting over a customer base of 10,000+ .
• Contributed to backend development of API Endpoints for tools like OCR, Image Captioning, Image Description, Text-to-Speech, Sentinment Analysis, Object Detection for AI Tools and AI Playground
• Achieved top performers 2 times among 15+ interns in a span of 7 months.
• Tech stacks: Python, NLP, FastAPI, LangChain, Streamlit, Langgraph , AWS, SQL, PostgreSQL, LLM (Finetuning, Development)

• Analyzed and improved learning modules for increasing student engagement in assignments and reduction in Help Request by 25%.
• Spearheaded the development of an advanced, industry-focused curriculum and project portfolio for the Data Science Program , resulting in a 50% increase in student engagement and a 25% improvement in project completion rates.
• Been part of project right from discovery phase and led the development of initial phase of Micro Front‑end Apps with React.Js using Module Federation Approach in Design/Build phase.
• Designed 400+ questions and 3+ projects covering ML, Probability, Statistics, Calculus, and Data Structures for the Advanced Data Science Course accounting for over 12% of all questions.
• Achieved top performers consistently among 10+ interns, overseeing entire Beginner and Intermediate Data Science Segment.
• Tech stacks: Python, Machine Learning, Statistics, Probability, Linear Algebra, Leadership, Team Work

• Developed NLP Based models to build a chatbot for self-learning English using models like T5, Gramformer etc.
• Worked on features like Grammar Correction/Suggestion, POS Tagging and Contextual Understanding.
• Worked with a team of 10 people and developed the foundation for NLP pipeline for the app
• Tech stacks: NLP, Transformers, Python

A student with an aggregate of 9.59 CGPA, ranked top in Batch and having good understanding of Software Development Life Cycle.

Achieved 95.6%, Subject: Maths, Physics, Chemistry, English, Computer Science

Achieved 96.6% with district rank 11 among all KV's in Kolkata Region