I am a B.Tech Computer Science & Engineering student focused on AI/ML and software development, with hands-on experience building computer vision systems, AI agent workflows, RAG-based applications, and full-stack projects.
- Artificial Intelligence & Machine Learning: Focused on building computer vision models, tracking algorithms, and modular software utilities.
- Generative AI & RAG: Experienced with agentic workflows, function calling, and RAG pipelines.
- Full-Stack Development: Experienced in connecting front-end interfaces with back-end APIs and local databases.
- Software Engineering: Focused on modular architecture, clean system design, and rigorous testing patterns.
- AI / ML internships
- Software Engineering internships
- Generative AI / AI Agent opportunities
- Full-Stack Development opportunities
- Applied AI projects
- Research collaborations
- Hackathons
- Open-source collaboration
| Domain | Proficiency | Details |
|---|---|---|
| Machine Learning | Intermediate | Practical training workflows, data validation, and model integration |
| Generative AI | Intermediate | API integrations, custom prompt structuring, and functional workflows |
| RAG | Intermediate | Context-aware document parsing, query indexing, and local retrievers |
| AI Agents | Intermediate | Multi-agent coordination, Google ADK tool calling, and Model Context Protocol (MCP) integrations |
| Computer Vision | Intermediate | Hand tracking with MediaPipe, gesture classification using OpenCV, and temporal smoothing |
| AI Application Development | Intermediate | Linking vision and language models to system inputs and local APIs |
GestureDrive AI — Hand Gesture System Input Control
A modular computer vision framework that converts real-time webcam hand gestures into game and system inputs.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Python, OpenCV, MediaPipe, NumPy, CustomTkinter, pynput, vgamepad | Single webcam interaction system | Designed for real-time gesture interaction | Local-first processing | Enables hands-free computer and game control | gesture-drive-ai |
GestureDrive AI is a modular python framework that tracks hand movements and translates gestures into keyboard or virtual Xbox controller inputs. By utilizing MediaPipe HandLandmarker for keypoint detection and OpenCV for frame capture, the system runs local-first gesture inference. Features rule-based gesture mapping, exponential moving average (EMA) smoothing for stable inputs, and a CustomTkinter GUI for configuration. The codebase includes a robust testing suite containing 11 unit and integration tests.
NexusOS AI — Multi-Agent Academic & Career Scheduler
An AI-powered multi-agent system designed to coordinate academic planning, career development, interview preparation, internships, and personal scheduling.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Python, Google ADK, MCP, FastAPI, React, TypeScript, Tailwind CSS, SQLite, Docker | Multi-agent application architecture | Designed for task-oriented agent workflows | Local development and controlled tool access | Brings academic and career workflows into one AI-assisted system | nexus-os-ai |
NexusOS AI coordinates several specialized agents (Planner, Resume, Career, Study, Interview, Internship, and Life Scheduler) under a single Coordinator Agent. Using the Model Context Protocol (MCP), the agents connect to external calendar events, documents, web searches, and GitHub repositories. The system enables automated task breakdown and document drafting based on real-time schedule updates.
ResearchLens AI — Document Compilation & Parsing Pipeline
A Python-based markdown parser and PDF compiler system designed to generate structured, print-ready educational handbooks.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
| Python, FPDF, Markdown, Git | Local document compilation system | Designed for fast document generation from markdown sources | Local execution without external cloud dependencies | Automates formatting and compilation of comprehensive CS and AI/ML study handbooks | handbook |
ResearchLens AI acts as a dedicated document compiler and structural analyzer for technical education material. By utilizing a customized Python script and FPDF, it parses markdown source files and compiles them into typographically consistent PDFs complete with dynamic tables of contents, page numbers, and custom callouts. It enforces consistent styling rules and color tokens across all built documents.
- Description: Contributed to the development and optimization of web applications.
- Scope of Work:
- Designed database models using SQL queries for structured data persistence.
- Created and styled responsive web interfaces using HTML, CSS, and Bootstrap.
- Developed and tested back-end API routing logic.
- Skills:
HTMLCSSJavaScriptSQLWeb Development
- Description: Designed user-centered flows and user interfaces for digital products.
- Scope of Work:
- Created interactive wireframes, prototypes, and user flows using Figma.
- Iterated on designs based on user research and visual hierarchy guidelines.
- Collaborated on design handoffs to align mockups with implementation constraints.
- Skills:
FigmaUI/UX DesignWireframingUser Experience
- Description: Produced creative digital designs and structured 3D assets for promotional showcases.
- Scope of Work:
- Built and textured 3D models with light rendering setups.
- Created promotional graphics and visual assets matching project themes.
- Skills:
3D AnimationCreative DesignRenderingDigital Art
- Description: Designed and implemented computer vision models and agentic workflow prototypes.
- Scope of Work:
- Built GestureDrive AI, a modular hand-gesture control system using OpenCV and MediaPipe.
- Developed NexusOS AI, an academic scheduler coordination framework utilizing Google ADK and MCP.
- Skills:
PythonOpenCVMediaPipeAI AgentsMCP
| Recognition | Details |
|---|---|
| 🏆 **Hackathon Participation** | Participated in Smart India Hackathon 2025 (AI/ML track focus) |
| 🥇 **Hack Better Than Me** | Participated in Hack Better Than Me hackathon organized by IIIT Pune |
current_focus:
learning:
- "Data Structures & Algorithms"
- "System Design"
- "Machine Learning"
- "Generative AI"
- "RAG"
- "AI Agents"
building:
- "GestureDrive AI"
- "NexusOS AI"
- "ResearchLens AI"
- "AI-powered applications"
exploring:
- "Agentic AI"
- "RAG architectures"
- "MCP"
- "Computer Vision"
- "Production AI Engineering"
open_to:
- "AI/ML Internships"
- "Software Engineering Internships"
- "Generative AI Opportunities"
- "AI Agent Projects"
- "Open Source Collaboration"
"Build with purpose. Engineer with intent. Ship what matters."