I'm a B.Tech in Information Technology student at IIIT Allahabad with a deep passion for AI/ML and software development. I specialize in building scalable AI pipelines and crafting innovative web solutions. I also have a keen interest in data structures, algorithms, and competitive coding—holding a 3-star rating on CodeChef and a Pupil rating on Codeforces. With a current CGPA of 8.66, I continuously strive for excellence in every project I undertake.
CGPA: 8.66 (till 4th Sem)
Key Coursework: Data Structures and Algorithms, Object-Oriented Programming, Software Engineering, Operating Systems, Computer Organization and Architecture, Database Management Systems (DBMS), Computer Networks, Probability and Statistics, Linear Algebra, and Discrete Mathematics.
2023 - Present
Achieved 99.20% (CGPA: 10). Focused on foundational science and mathematics with a strong emphasis on problem-solving.
Year of Passing: 2021
Core Concepts:
Supervised/Unsupervised Learning NLP Neural Networks Computer Vision GANs Generative AI LLMs Knowledge Graphs Natural Language Processing
Frameworks & Tools: TensorFlow PyTorch Flask Neo4j FAISS RASA Twilio WhatsApp API Scikit-Learn OpenCV
Data Libraries & Visualization: Pandas NumPy Matplotlib Seaborn Jupyter Notebook
Frontend: React.js Next.js HTML5/CSS3
Backend: Node.js Express.js Flask REST APIs
Languages: Java C++ Python JavaScript (ES6+) SQL
Concepts: DSA Competitive Programming Object-Oriented Design Design Patterns
Version Control & Build Tools: Git GitHub Vite.js Postman
Containerization & CI/CD: Docker
All-India Semifinalist in Novartis NEST Hackathon 2024.
Innovative Pipeline: Engineered a scalable AI solution to semantically group and retrieve clinical trial data from 450k records (495MB of textual bio-medical data) by merging multi-source inputs and extracting structured relationships using Gemma2.
Optimized Data Processing: Leveraged Stella 1.5B embeddings with FAISS (0.8 threshold, avg. cosine similarity 0.857) to perform advanced node deduplication, forming a dynamic Neo4j knowledge graph.
Graph-Based Recommendations: Developed a state-of-the-art recommendation engine using Neo4j GDS (Jaccard similarity) to deliver top-10 trial recommendations, ensuring cost efficiency, clinical relevance, and explainability.
Tech Stack: Python | Gemma2 | Stella | FAISS | Neo4j GDS
GitHub: Repo Link
Knowledge Graph: View Knowledge Graph
Team Alchemy : Google Solutions Challenge
Comprehensive Web Application: Delivers instant skin assessments and dedicated women’s healthcare support.
Solution Overview: Leverages advanced deep learning to analyze skin images and provide categorized remedies along with nearby clinic information.
Key Features: Image upload & capture, disease severity detection, Ayurvedic remedies, hospital locator, women's health chatbot, and live doctor consults.
Tech Stack: CNN | PyTorch | Flask | Tensorflow | FAISS | OpenCV | Gemini API | WebRTC | Node.js | Next.js | TypeScript | Google Maps API
GitHub: Repo Link
Demo Video: Watch Here
MVP: Live Demo
Interactive Web Application: Developed a user-friendly web app that converts sketches to colorized images in real-time using generative adversarial networks (GANs).
Custom GAN Model: Trained a bespoke GAN on an anime dataset to achieve high-quality colorization with reduced latency.
Seamless User Experience: Delivered an interactive, responsive interface ensuring an engaging and intuitive user experience.
Tech Stack: GANs | Flask | HTML5 | CSS3 | JavaScript
GitHub: Repo Link
Live Demo: Try InkSpire on Hugging Face
Conversational Finance Management: Developed an intelligent WhatsApp chatbot to simplify financial management through natural language interactions.
Advanced NLU: Built using the RASA framework for sophisticated natural language understanding and integrated with the Twilio WhatsApp API for seamless messaging.
Efficient Data Handling: Employed Hugging Face Transformers for zero-shot classification and NER, with SQLite ensuring lightweight yet robust data storage.
Tech Stack: RASA | Twilio WhatsApp API | Hugging Face Transformers | SQLite
GitHub: Repo Link
Responsive Design: Built a modern, mobile-friendly personal portfolio website showcasing projects, skills, and experience.
Interactive UI: Utilized HTML5, CSS3, and JavaScript for smooth animations and an intuitive user experience.
Scalable Architecture: Integrated best practices for performance optimization and SEO, ensuring fast load times and discoverability.
Tech Stack: HTML5 | CSS3 | JavaScript | Bootstrap
GitHub: Repo Link
Data Extraction & Synthesis: Engineered an AI-driven platform that extracts and synthesizes multi-source data (PDFs, Wikipedia, Google) to analyze food ingredients, define safe consumption guidelines, and recommend healthier substitutes.
Geolocation & Mapping: Integrated geolocation-based store recommendations with interactive mapping using Google Maps API and Folium for enhanced user experience.
Enhanced Semantic Search: Leveraged FAISS and SentenceTransformers to boost semantic search accuracy and deliver precise insights.
Tech Stack: TensorFlow | Streamlit | GroqAPI | Google Maps API | FAISS | SentenceTransformers
GitHub: Repo Link
The Ultimate Student Hub: Campus Ease is a centralized platform designed to simplify college life. It provides direct access to essential study resources like DSA sheets, competitive programming problems from Codeforces, LeetCode, and CodeChef, along with an integrated contest calendar—ensuring students never miss an opportunity to upskill.
Smart Student Tools: Managing expenses is effortless with the built-in expense tracker that helps students calculate and remember their daily spending. The AI-powered audio summarizer converts lengthy PDFs and voice notes into concise, easy-to-digest summaries—perfect for quick revisions.
Tech Stack: Node.js | MongoDB | JavaScript | HTML | CSS | Flask | Jupyter Notebook
GitHub: Repo Link
Interactive Puzzle Experience: Developed a Java-based puzzle game featuring a sleek, intuitive UI with a 1-Click Solution feature for instant puzzle solving.
Robust Desktop Application: Built using Java Swing to deliver a dependable and interactive desktop experience.
Engaging Gameplay: Focused on providing a smooth and enjoyable user experience for puzzle enthusiasts.
Tech Stack: Java | Java Swing
GitHub: Repo Link
Predictive Analytics: Developed a supervised machine learning model to forecast employee attrition by analyzing demographics, job satisfaction, work-life balance, and performance metrics.
Data Visualization: Utilized matplotlib and seaborn to visualize data insights and model predictions, providing actionable intelligence.
Robust Model Development: Built and trained the model using TensorFlow to support effective retention strategies.
Tech Stack: TensorFlow | matplotlib | seaborn | Python
GitHub: Repo Link
Top ranks in JEE Main 2023 (AIR 3660), JEE Advanced 2023 (AIR 6461) and NTSE Scholarship Rank 126.
CodeChef 3-Star (#544, #259, #459) and Codeforces Pupil (Max Rank #2860 in Div 1+2).
LeetCode Rating 1771 (Biweekly Contest 429, Rank 2609) demonstrating strong problem-solving skills.
Semi-Finalist in Novartis NEST Hackathon – Selected among Top 42 National Teams from over 32k participants.
Actively contributed to Opencode24, the college’s flagship open-source event, driving community-led projects.
Earned from EICT IIT Kanpur. Advanced training in AI/ML concepts and applications.
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Awarded by EICT IIT Kanpur for successful completion of a key project demonstrating technical expertise.
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Recognized for contributions during IIIT Allahabad's annual open-source event, demonstrating collaborative development and community engagement.
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