RGTvertex — AI Workforce Platform
AI-powered platform automating business operations through intelligent agents. Built the careers portal, authentication, and core product architecture.
AI & Full-Stack Engineer — Data Science undergraduate
I work across the full pipeline — from raw data to a deployed product. Recent work spans a real-time face-recognition system, a fraud-detection engine, and production AI platforms built with Python, React and Node.js.
I'm a Computer Science undergraduate (Data Science) who works comfortably at both ends of a product — the model that finds the signal, and the interface that ships it. I've built systems that watch a camera feed and recognise a face in real time, and sift 284,807 transactions for the 492 that are fraudulent.
I recently completed a Data & AI Intelligence internship at Graphura, and I'm currently co-building RGTvertex, an AI workforce platform, across frontend, backend and database design.
Full resume ↗Camera feeds, transaction logs, resumes & job listings.
Cleaning, feature engineering, SMOTE / PCA, NLP parsing.
Random Forest, XGBoost, FaceNet embeddings, ensemble methods.
Flask / FastAPI APIs, React dashboards, Power BI reports.
Co-building an AI-automation platform: React/Tailwind frontend, Node.js backend, a Supabase-integrated careers & job-application system, and role-based auth.
Built Python tools and AI pipelines for a creative-tech product; automated data workflows and integrated ML models into production systems.
Built a full-stack e-commerce app with React & Node.js; optimized MySQL queries, improving response time by 25%.
AI-powered platform automating business operations through intelligent agents. Built the careers portal, authentication, and core product architecture.
AI trust-scoring engine that flags fraudulent job & internship listings, with a Claude-powered chatbot that explains each verdict in plain language.
Real-time recognition at 95% accuracy using MTCNN + FaceNet. Full pipeline from camera feed to database-backed attendance, cutting manual tracking by 80%. Won 1st Prize at TECHNOYASH-25, my college's project competition.
93.58% accuracy on a highly imbalanced dataset (492 fraud / 284,807 transactions) using Random Forest, PCA and SMOTE — 15% fewer false positives.
Normalized MySQL schemas + Power BI/DAX dashboards across 1,300+ synthetic transactions; surfaced a 15% margin-erosion pattern on discounted products.
Flask app scoring intern job-readiness (88% test accuracy) by parsing résumés (PyMuPDF) and analyzing GitHub activity via the REST API.
Smart India Hackathon project: mobile UI with a real-time backend, built for scalable data handling across coastal tourism data.
A real-time chat backend built to practice WebSockets and authenticated APIs — messages broadcast live over WebSocket connections, with JWT-based login and PostgreSQL for storing users and message history.
A web app for managing a college library — login/signup, a dashboard for staff, and a browsable catalog of books, magazines and newspapers backed by MySQL.
An earlier static front-end for the same library-catalog idea, before I rebuilt it with a real PHP/MySQL backend as the Library Management System above.
A Java-based job portal exploring core OOP design — employers can post openings and candidates can browse and apply, modelled as a simple multi-user system.
A Flutter calculator app covering the four basic operations, with a history log of past calculations and error handling for cases like division by zero.
A Flutter starter project for a login/signup screen — used to learn Flutter's widget tree, navigation, and basic form handling.
Contributed to DIPY, an established open-source Python library for medical/diffusion MRI image analysis used by researchers worldwide — my first experience working in a large, existing scientific codebase rather than a project of my own.
Shreeyash College of Engineering & Technology, Dr. BATU — Aug 2023 – Jun 2026
CGPA: 7.83 / 10.0
Coursework: Data Structures & Algorithms, Database Systems, OOP, Operating Systems, Machine Learning, Big Data Analytics, Probability & Statistics.
Open to Software Engineer, AI/ML and Full-Stack roles. I usually reply within a day.