About
I am a final-year Computer Engineering student at Pandit Deendayal Energy University (PDEU), graduating in May 2026, with a strong passion for building technology that creates real-world impact. With a foundation in engineering and a mindset shaped by business strategy and global economics, I approach problems not just from a “how to build” perspective, but from a “why it matters” lens. I am deeply interested in how emerging technologies reshape finance, trade, and global systems. Currently, I work as an AI Engineering Intern at SmartDukaan, where I am developing an automated Document Verification pipeline using Python and FastAPI. My work focuses on building scalable microservices that enable real-time credential validation, replacing slow and manual processes with efficient, reliable systems. Beyond industry work, I actively engage in research and innovation. I authored and presented the paper “Digital BRICS: Toward a Decentralized Financial Future” at the 4th International BRICS RI Conference, exploring the role of decentralized technologies in global economic frameworks. As Team Lead for Veritrade, I led the development of a decentralized export verification platform leveraging Blockchain and AI agents to ensure transparency and data integrity in international trade. I consider myself an engineer with a business mindset driven by curiosity in geopolitics, decentralized finance, and digital transformation. My goal is to apply my skills in AI, Data Science, and Backend Engineering to solve complex problems at the intersection of technology, finance, and global commerce. I am always open to collaborating on impactful projects and exploring opportunities where technology meets strategy. 📩 Let’s connect and build meaningful solutions.
Work experience
AI Intern at SmartDukaan, Jan 2026 - Present · 5 mos, Noida, Uttar Pradesh, India, Built a production RAG-based AI chatbot with FastAPI and LangChain, integrating 25+ tools for real-time data retrieval. Designed a scalable async backend handling 600+ concurrent users with connection pooling and low-latency API serving. Architected a multi-layer cache (FAISS semantic + LRU + session memory) reducing response latency by 40%. Engineered dynamic LLM routing directing queries to optimal models by complexity, cutting API costs by 85%. Built MySQL analytics pipelines and integrated Qdrant vector search for real-time inventory and order insights.
Advisor at Tattvam PDEU, Jul 2025 - Present · 11 mos, Gandhinagar, Gujarat, India
Treasurer at Tattvam PDEU, Jul 2024 - Jun 2025 · 1 yr, Gandhinagar, Gujarat, India
Head of Event Mangement Department at Avionics - The Aeromodelling Club of PDEU, Jul 2024 - Jun 2025 · 1 yr, Gandhinagar, Gujarat, India
Head of Logistics Department at Avionics - The Aeromodelling Club of PDEU, Jul 2023 - Jul 2024 · 1 yr 1 mo, Gandhinagar, Gujarat, India
Data Science Intern at Su-kEm Tech Lab, May 2024 - Jul 2024 · 3 mos, Built a churn prediction model (XGBoost + Random Forest) on records, surfacing key drivers for stakeholders. Performed end-to-end EDA and feature engineering using Pandas and NumPy to improve model performance. Automated preprocessing pipelines with imputation, outlier handling, and scaling to reduce manual prep time.
Logistic subcommittee at Anirveda PDEU, Oct 2022 - May 2023 · 8 mos, Gandhinagar, Gujarat, India
