I am a Computer Science Engineering student at Chitkara University and an aspiring Software Engineer with a passion for building scalable web applications and AI-powered solutions. My journey in technology has given me a strong foundation in Data Structures & Algorithms, full-stack development, and modern AI frameworks, enabling me to design and develop end-to-end applications using technologies like Python, FastAPI, Next.js, PostgreSQL, and LangGraph. I enjoy solving complex problems, exploring emerging technologies, and transforming ideas into reliable, user-centric products. Whether it's architecting robust backend systems, developing intelligent AI workflows, or crafting seamless user experiences, I am committed to writing clean, maintainable code and continuously growing as an engineer while creating software that makes a meaningful impact
Built AI-powered applications including an AI hiring platform and AI-based ERP system using FastAPI, Next.js, PostgreSQL, pgvector, and LangGraph during technical ramp-up.
Contributed to a production dock management system deployed across 10+ warehouses and 250+ docks, supporting and optimizing daily shipment operations.
Built shipment workflows covering gate entry, dock allocation, and departure for Gate Desk, Operations Manager, and Dock Supervisor roles.
Implemented RBAC and authentication, restricting user actions and data access based on assigned role and warehouse.
Contributed to API development, QA testing, debugging, code reviews, and production workflows.

AI-native hiring platform featuring semantic resume-to-job matching, dynamically generated behavioral scenarios using LangGraph, and anti-cheating test environments. Built with WebSocket real-time broadcast channels and multi-tenant RBAC to streamline end-to-end recruitment pipelines.

Privacy-first AI platform enabling users to run local LLMs via Ollama with zero data leakage. Supports hybrid mode with online APIs (Gemini) for complex tasks, integrated RAG pipeline for contextual retrieval, and document-based querying for offline intelligence.

Healthcare platform combining ML-based disease prediction (Random Forest) with real-time patient-doctor interaction. Features AI chat (Gemini), emergency alert system using geolocation, verified medical professionals, and live communication via WebSockets.

AI-native hiring platform featuring semantic resume-to-job matching, dynamically generated behavioral scenarios using LangGraph, and anti-cheating test environments. Built with WebSocket real-time broadcast channels and multi-tenant RBAC to streamline end-to-end recruitment pipelines.

Privacy-first AI platform enabling users to run local LLMs via Ollama with zero data leakage. Supports hybrid mode with online APIs (Gemini) for complex tasks, integrated RAG pipeline for contextual retrieval, and document-based querying for offline intelligence.

Healthcare platform combining ML-based disease prediction (Random Forest) with real-time patient-doctor interaction. Features AI chat (Gemini), emergency alert system using geolocation, verified medical professionals, and live communication via WebSockets.


Currently pursuing degree with focus on software engineering, data structures, algorithms, and full-stack web development.