I'm a Computer Science Engineering student specializing in AI & ML. I build things that sit at the intersection of machine learning and real user workflows — LLM-powered applications, agentic systems, and full-stack products.
I care about clean architecture, measurable progress, and shipping what works.
- 🤖 Building LLM + RAG and agentic AI systems that solve focused, real problems
- 🏗️ Designing scalable, production-style full-stack applications
- ⚙️ Understanding systems deeply — exploring Linux from scratch with
Quasar-OS - 🧩 Grinding DSA and contest problems consistently
Languages
Web & Backend
AI / ML & Data
Databases, DevOps & Tools
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📈 crm
Full-stack CRM handling the complete customer lifecycle — Lead → MQL → SQL → Opportunity → Customer → Evangelist. JavaScript
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📱 PhoneConnect
Trigger cellular calls from your laptop through a WebSocket gateway and a companion Android app. Kotlin
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💬 support-chat
Conversational AI for the CRM with ASK, VISUALIZE & AGENT modes over company data (FastAPI + LangGraph + RAG). Python
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⚔️ codesaga
Learn tech stacks by building real applications through story-driven tasks (Next.js 14 + TypeScript). TypeScript
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📊 Stock-Analysis
Stock price prediction web app using Linear Regression, Random Forest & LSTM (Streamlit + yfinance). Python
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🧩 The-Puzzler
2048 game engine with a self-playing Dueling DQN reinforcement learning agent. Python · Java
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- Scalable backend system design for production services
- Reliable LLM application patterns — evaluation, orchestration, retrieval quality
- Deeper Linux and OS fundamentals through hands-on implementation
Build. Break. Learn. Repeat.