Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
21 skillsWork Experience
Data Science Intern
Nu-pie Management Consultancy Services Pvt. Ltd
- Built a full-stack timesheet web app with AI-powered natural language time entry, multi-level approval workflows, and role-based access control.
- Integrated Ollama LLM for parsing conversational time entries and developed an audit engine to detect anomalies such as excessive hours and missing entries.
- Designed RESTful APIs with Flask, implemented bcrypt authentication, and created interactive dashboards with Chart.js for analytics and reporting.
IT & Web Development Intern
GMCSCO Media Pvt. Ltd
- Trained in HTML, scripting, WordPress, and AI-based development tools.
- Worked on website customization, content integration, UI improvements, and performance optimization.
- Assisted in building and maintaining client websites and digital media solutions.
- Developed hands-on skills in automation using AI tools and practical web deployment tasks.
Projects
AI Timesheet Management System
- Built a full-stack timesheet web app with AI-powered natural language time entry, multi-level approval workflows, and role-based access control.
- Integrated Ollama LLM for parsing conversational time entries and developed an audit engine to detect anomalies such as excessive hours and missing entries.
- Designed RESTful APIs with Flask, implemented bcrypt authentication, and created interactive dashboards with Chart.js for analytics and reporting.
NuPIE Insights — AI Chat Application with Document Search
- Developed a web-based chat application enabling users to query documents (PDF, Excel, Word, text) and receive AI-powered answers using natural language.
- Built a user authentication system with registration, login, and session management, securely storing user data and chat history in MySQL.
- Implemented a RAG (Retrieval-Augmented Generation) pipeline that indexes uploaded documents, retrieves relevant sections, and generates accurate responses using local AI models.
- Containerized the full application using Docker with separate containers for the web app, database, and AI services, ensuring seamless and reproducible deployment.
- Designed a responsive frontend with HTML, CSS, and JavaScript using AJAX for smooth real-time chat, achieving a 5-second average response time while maintaining complete data privacy with local AI processing.
Lab Performance Management System
- The Lab Performances (Marks) project evaluates students’ practical lab work, assessing their technical skills, accuracy, and procedural compliance. It uses structured rubrics to ensure fair and consistent grading across different experiments and sessions. The project provides valuable feedback to enhance students’ lab competencies and supports their academic progress.
Online Shopping
- A web-based e-commerce platform enabling users to browse products, add items to cart, make secure payments, and track orders. Built using Django and SQLite for database management, with frontend technologies including HTML, CSS, and JavaScript. The project demonstrates practical skills in full-stack development, database integration, and user-friendly web design.
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
IDEATHON
IDEATHON (2025) – Institution’s Innovation Council
Jyoti Summit Paper Presentation
Jyoti Summit (2025) – Presented paper on LLMs and Interpretable Models using Data Science
About Details
Professional Bio
A motivated individual equipped with a strong blend of academic knowledge and practical experience. I bring a fresh outlook and innovative strategies to professional environments. My ability to connect concepts across various domains enables me to approach challenges creatively and effectively.
Master of Computer Application
Jyoti Nivas College Autonomous, Bengaluru (2023 - 2025)
Bachelor of Computer Application
Bishop Cotton Women’s Christian College, Bengaluru (2019 - 2022)
CEBA (Computer Science, Economics, Business Studies, Accounts)
St. Michael’s PU College, Bengaluru (2017 - 2019)
SSLC
Mitralaya Girls’ High School, Bengaluru (2016 - 2017)