Shubham Khatri

View Projects Resume

About Me

I am a B.Tech student in Instrumentation and Control Engineering at Netaji Subhas University of Technology (NSUT), with a strong academic and practical focus on Machine Learning, Data Science, and intelligent software systems.

My core interests lie in designing and building end-to-end machine learning solutions, including Retrieval-Augmented Generation (RAG) pipelines, predictive modeling systems, and data-driven web applications. I enjoy working at the intersection of algorithms, data engineering, and real-world problem solving.

Alongside academics, I actively contribute to technical communities such as IEEE NSUT, where I help organize AI/ML workshops, technical talks, and student-led initiatives. I also explore applied research areas such as image enhancement, low-light vision, and deep learning architectures.

My long-term goal is to grow into a versatile software and ML engineer by building scalable and impactful systems that combine strong engineering fundamentals with modern artificial intelligence techniques.

Profiles

GitHub

Source code, ML projects, and open-source work.

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LinkedIn

Professional experience and leadership roles.

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LeetCode

DSA and competitive programming profile.

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Technical Skills

Languages
Python, C++, Java, SQL, HTML, CSS, JavaScript
ML & AI
TensorFlow, Scikit-Learn, LangChain, Pandas, FAISS, RAG
Backend
Flask, Streamlit, REST APIs, MongoDB, Docker
Core CS
DSA, OOPS, DBMS, OS

Projects

Fluentiq – RAG Powered Document Q&A

Python • LangChain • FAISS • Streamlit

  • Designed a Retrieval-Augmented Generation system for document-based question answering.
  • Implemented optimized chunking and FAISS vector search reducing latency by ~50%.
  • Supports domain-specific and general knowledge querying.

Chakra-Cyan – Blockchain Supply Chain

Blockchain • NLP • QR Identity • Cloud

  • Built blockchain-based farm-to-retail traceability platform.
  • Integrated AI voice chatbot for multilingual farmer interaction.
  • Implemented QR-based identity and credibility scoring.

Electify India

Next.js • TypeScript • Node.js • MongoDB • Tailwind CSS

  • Built a government-neutral civic-tech platform to educate citizens about One Nation One Election (ONOE).
  • Implemented Blind Reading Mode to mask party and leader names and reduce political bias.
  • Developed Claim vs Fact checker to counter misinformation using source-backed data.
  • Added multi-language support (English, हिंदी, اردو) with audio explanations for accessibility.
  • Integrated JWT-based authentication with user accounts, bookmarks, and progress tracking.
  • Designed a fully responsive UI with dark/light theme and guest mode support.

F1 Constructor Performance Predictor

Scikit-Learn • Pandas • Streamlit

  • Developed ML model to predict Formula 1 constructor points.
  • Engineered 15+ features achieving R² > 0.85.
  • Deployed interactive web app for visualization.

Experience

Research Intern – Delhi Technological University (DTU)

Positions of Responsibility

Joint Secretary – IEEE NSUT (organized AI/ML workshops)
Event Management Coordinator – University technical events

Achievements & Certifications

🥉 3rd Place – ML Bootcamp (IEEE NSUT)
Machine Learning Specialization – Andrew Ng
Deloitte Data Analytics Virtual Internship

Contact

📧 Shubh31055@gmail.com
📱 +91 9999564016
📍 New Delhi, India