Start with SwiftShare. Trace the interface through the backend to storage:

1. React file-sharing interface
2. Spring Boot file controller → service implementation
3. Docker Compose setup

Interview conversation: how the UI, REST endpoints, service layer, and database work together; tradeoffs in sharing files between users.

Start with TaskPilot. Follow the agent's decision path:

1. Architecture overview
2. LangGraph orchestration → retrieval, summarization, and search tools
3. Agent tests

Interview conversation: tool selection, retrieval context, source references, and the limits of generated answers.

Start with Flight Delay Operations Intelligence. Follow the input-to-output workflow:

1. Command-line entry points
2. Analysis implementation
3. CLI tests → sample outputs

Interview conversation: CSV validation, grouping and aggregation, reproducible outputs, and edge cases.

Final-year B.Tech Computer Science and Engineering student at KL University, 2023–2027, full-time, with 8.72 CGPA. I build full-stack applications and explore applied AI while strengthening data structures, OOP, and DBMS. I'm preparing for an entry-level software engineering role.

• SwiftShare: file-sharing workspace using React, Java, Spring Boot, MySQL, WebSockets, and Docker Compose. Includes PassShare, a personal drive, and chat interfaces.
• TaskPilot / Inflow AI: document assistant using React, FastAPI, LangChain, LangGraph, FAISS, and SQLite. Its agent selects document retrieval, summarization, or web search and provides source references.
• Brain tumor project / AI Medical Assistant: academic image-classification application using React, FastAPI, PyTorch, ResNet-50, Grad-CAM, SQLite, and ReportLab, with scan history, dashboard summaries, PDF reports, and a rule-based chatbot. The published version uses a synthetic three-class demonstration: Normal, Pneumonia, Tumor. It does not establish brain MRI or clinical diagnostic performance.
• Flight Delay Operations Intelligence: reusable Python, pandas, and Matplotlib CLI for flight CSV analysis, departure-delay metrics, rankings, route-risk tables, and charts, with automated tests.

• Languages: Python, Java, SQL, JavaScript, TypeScript.
• Web and APIs: React, HTML/CSS, Vite, Spring Boot, FastAPI, Flask, REST APIs, WebSockets.
• AI and data: PyTorch, torchvision, CNNs, transfer learning, Grad-CAM, LLMs, RAG, LangChain, LangGraph, FAISS, MySQL, SQLite, pandas.
• Development: Git, GitHub, Docker Compose, Postman, VS Code, PyCharm.
• Foundations: data structures and algorithms, OOP, DBMS, operating systems.

• Microsoft Certified: Azure AI Engineer Associate (AI-102) — Microsoft.
• Salesforce Certified AI Associate — Salesforce.
• ServiceNow Certified Implementation Specialist – Data Foundations (CMDB & CSDM) — ServiceNow.
• MongoDB Associate Developer — MongoDB.
• Cambridge English Linguaskill — English language proficiency certification.

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