Currently working as a Software Engineer at Nomura Services in Mumbai, where I architect robust ETL pipelines processing terabytes of financial data with 99.9% accuracy. My work involves engineering SSIS packages, optimizing MSSQL performance using In-Memory OLTP (achieving 40% query time reduction), and building multidimensional OLAP cubes using SSAS.
I graduated in 2025 with a Bachelor of Technology in Information Technology from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, with 75.60%. During my time at SGSITS, I served as Training and Placement Manager (Sept 2022βJune 2025), leading a team of 60+, and as Technical Head at #Include (March 2023βJune 2025), which honed my leadership, management, and communication skills.
My passion lies in Autonomous Multi-Agent Systems and RAG Pipelines. During my internship at Nomura, I deployed a RAG-based natural language query system over Confluence using Langchain and Weaviate, constructed a Semantic Natural Language Interface to Elasticsearch, and engineered an AI-powered SQL assistant for natural language to SQL conversion. I've also built innovative projects like FIMA (Financial Market Intelligence Agent) - a multi-agent system using Google ADK and LangChain with RAG pipeline to reduce hallucinations.
I'm an avid competitive programmer with 750+ DSA problems solved across Leetcode, GeeksForGeeks, Codechef, and HackerEarth. I've been an All India Finalist at Nomura's KakushiN 8.0 (2024), demonstrating my ability to innovate under pressure and work collaboratively in high-stakes environments.
My technical expertise spans Python, T-SQL, React, FastAPI, LangChain, AWS (ECS, Fargate), Docker, MSSQL, Elasticsearch, Weaviate, ChromaDB, and more. I specialize in building scalable cloud infrastructure and architecting AI solutions that bridge the gap between cutting-edge research and practical business applications.
Although I'm mostly in front of my laptop. While I'm not working, Iβm probably watching a television series or a movie, listening to music, watching random stuff on youtube.
Mumbai, Maharashtra, India
β’ Engineered robust SSIS packages for ETL processes integrating terabytes of data with 99.9% accuracy.
β’ Spearheaded MSSQL performance tuning (In-Memory OLTP), reducing query time by 40%.
β’ Architected multidimensional OLAP cubes using SSAS and optimized 30+ T-SQL stored procedures.
Mumbai, Maharashtra, India
β’ Deployed a RAG-based natural language query system over Confluence using Langchain and Weaviate.
β’ Constructed a Semantic Natural Language Interface to Elasticsearch using Langchain.
β’ Engineered a React + AG Grid dashboard on top of Elasticsearch for advanced data exploration.
β’ Created an AI-powered SQL assistant for natural language to SQL conversion.
A sophisticated Multi-Agent System (Research, Analysis, Sentiment, Prediction, Reporting) using Google ADK and LangChain. Features a RAG pipeline with ChromaDB to reduce hallucinations and a hybrid predictive engine combining statistical models with LLM reasoning.
Fine-tuned Mistral 7B for real-time medical translation using hybrid prompting (Few-Shot + Chain-of-Thought) and a 20k-segment dataset. Achieved significant improvements in translation accuracy for medical terminology.
Selected as one of the All India Finalists at Nomura's prestigious KakushiN 8.0 hackathon, showcasing innovative solutions in financial technology.
Led a team of 60+ members, coordinating placement activities, organizing training sessions, and facilitating interactions between students and recruiters. Successfully managed campus recruitment drives for multiple companies.
Spearheaded technical initiatives, organized coding competitions, workshops, and hackathons. Mentored students in various programming domains and led the development of society's technical projects.
Solved 750+ Data Structures and Algorithms problems across multiple platforms including Leetcode, GeeksForGeeks, Codechef, and HackerEarth. Demonstrates strong problem-solving skills and algorithmic thinking.