Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
15 skillsWork Experience
Machine Learning Intern
IBM
- Led a team of 5 to develop a full-stack healthcare chatbot application using Flask and React for symptom analysis and preliminary disease prediction.
- Built and integrated a decision tree-based ML model achieving 90% accuracy across 500+ simulated diagnosis cases.
- Designed REST APIs and interactive frontend workflows to support real-time symptom input, prediction generation, and user feedback.
Projects
AI-Powered NL2SQL Platform
View Project- Developed a full-stack Natural Language to SQL platform using transformer-based models to convert user prompts into executable SQL queries.
- Engineered a schema-aware Data Preprocessing pipeline with dynamic schema introspection and fuzzy table matching using RapidFuzz to improve query generation reliability for large multi-table databases.
- Implemented a secure multi-layer validation framework featuring robust Prompt Engineering for Gemini-based fallback corrections, establishing a strict Model Evaluation loop to handle low-confidence query outputs.
- Built Flask REST APIs and integrated a React frontend for interactive query generation, execution, and result visualization workflows.
Career Context RAG Platform
View Project- Architected a full-stack Retrieval-Augmented Generation platform delivering instant, grounded answers to complex candidate queries regarding career paths, salaries, and company policies.
- Engineered a local hybrid search pipeline generating high-dimensional Vector Embeddings via FastEmbed combined with BM25 keyword matching; optimized Retrieval Efficiency and enforced strict confidence thresholds to eliminate LLM hallucinations.
- Developed a modern React/Tailwind UI with drag-and-drop knowledge base ingestion, paired with Flask APIs and SQLite logging to power recruiter analytics and automated lead capture.
MovieScout: Hybrid Movie Recommendation Platform
View Project- Architected a full-stack movie recommendation platform using Flask and React, featuring an interactive, low-latency swipe-based UI for real-time preference capturing.
- Trained a hybrid recommendation engine using collaborative and content-based filtering on MovieLens and TMDb datasets.
- Developed REST APIs using Flask and integrated a React frontend for recommendation delivery and user preference management.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Associate (SAA-C03)
Supervised Machine Learning: Regression and Classification
Supervised Machine Learning: Regression and Classification - Stanford Online
Introduction to Cybersecurity
Introduction to Cybersecurity - Cisco Networking Academy
About Details
Professional Bio
Full Stack Developer specializing in Python backend, ML/LLM applications, and AWS cloud solutions. Experienced in building scalable web platforms and AI-driven tools.
B.Tech in Computer Science and Engineering in Computer Science and Engineering
University of Petroleum and Energy Studies (2022 - 2026)
ISC Higher Secondary Certificate
Bright-Lands School ( - 2021)