I'm a passionate developer with diverse interests spanning Full Stack Development, Generative AI, Retrieval-Augmented Generation (RAG), Backend Engineering, and Cloud Technologies.
- 🔭 Currently learning and building Swasthya AI CORE (an AI-powered stateless healthcare intelligence engine deploying context-aware RAG pipelines)
- 🎮 Advanced Motion Graphics & Cinematic Video Editing using Adobe After Effects & DaVinci Resolve
- 🤖 Competing in national-level AI Tracks and Engineering Hackathons
- 📱 Creating modern, minimal, glassmorphic UI architectures and dashboards inspired by Apple and Vercel aesthetics
- 💼 Open to collaboration and engineering opportunities
- 🧠 Interested in: Intelligent AI Agents, Advanced RAG Systems, and Scalable Distributed Backend Systems
| 🩺 Swasthya AI CORE | 🎓 CourseMate AI |
|---|---|
| Swasthya AI CORE An AI-powered healthcare assistant built to answer medical queries using retrieval-augmented generation instead of relying solely on LLM static memory. Implements a highly modular architecture splitting Context, Discovery, Research, and Ranking pipelines.      |
CourseMate AI GenAI PDF learning platform featuring semantic retrieval pipelines, vector embeddings, MMR-based searches, and tokenized session authentication. Processes documents up to 10MB to eliminate hallucinations and extract structured academic summaries.       |
| 💎 FareCast | 🔄 PrintSmart |
|---|---|
| Dynamic ride fare prediction and surge pricing analytics platform powered by regression models ingesting real-time weather and traffic details via Google Maps & Open-Meteo APIs. | Campus document routing engine deploying a token-based FCFS queue scheduling framework with role-based access control (RBAC), slashing legacy waiting print times by 40%. |
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| 📦 E-Commerce Supply Chain Analytics | 📊 Sales Analysis Project using DBT |
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An end-to-end data platform transforming raw transactional data into metrics-ready assets via dbt and Microsoft Fabric[cite: 2, 3]. Implements automated data validation (uniqueness, null bounds) alongside unsupervised K-Means clustering to map customer behaviors, powering risk, fraud, and Customer 360 dashboards[cite: 2].   |
A complete sales intelligence workflow migrating raw e-commerce data points into centralized storage patterns[cite: 2]. Features custom Star Schema architectures separating structural dimension and fact tables, utilizing automated testing frameworks to protect reporting metrics[cite: 2]. |
| 🥈 Hackathon Winner | 📊 Data Associate | ⚡ Core Programmer | 🚀 Product Scope |
|---|---|---|---|
| Secured 2nd Runner-Up position out of nationwide technical entries at CodeforBharat Season 2 (AI Track) for building the MITR SOS device. | Certified Microsoft Power BI Data Analyst Associate alongside 200+ complex query and database optimization challenges resolved on CodeChef. | Successfully resolved over 300+ structural logic challenges on LeetCode with an 8.03 ongoing B.Tech CGPA at GLBITM. | Engineered 6+ production-ready intelligent software architectures, specializing in end-to-end cloud and API integrations over academic notebooks. |
Complete Certifications and Achievements at Prince's Portfolio | Certifcations
Languages
Frameworks & Libraries
Databases & Backend Services
Data Infrastructure & Cloud
Developer Tools
"I want to become an engineer capable of building complete AI-powered software products from idea to deployment."