┌─────────────────────────────────────────────────────────────────┐
│                                                                 │
│   NAME       →  TEJASWEE RAJPUT                                 │
│   ROLE       →  AI/ML × SOFTWARE DEVELOPER                      │
│   MODE       →  BUILD / EXPERIMENT / DEBUG / SHIP               │
│   INTERESTS  →  AI · FULL-STACK · SYSTEMS · CLOUD               │
│   CURRENT    →  BUILDING INTELLIGENT SOFTWARE                   │
│                                                                 │
│   STATUS     →  █████████░  BUILDING                            │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘

I'm interested in the space where AI meets software engineering.

I like taking an idea, figuring out how it should actually work, building the system around it, and pushing it far enough to become something usable.

A lot of my learning happens through hackathons, collaborative builds, experiments, and real-world problem solving.

My usual pipeline:

IDEA → RESEARCH → PROTOTYPE → CODE → DEBUG → DEPLOY → ITERATE

Currently exploring the intersection of AI/ML, full-stack development, agentic systems, cloud and scalable software.

🏆 Hackathon Finalist / Runner-Up
🤖 AI / ML & Agentic AI Projects
💻 Full-Stack Application Development
📡 RF / Bluetooth Fingerprinting Research
🚀 Rapid Prototyping & Team Collaboration

I enjoy working on problems where the solution isn't obvious and the first version is rarely the final version.

AI-powered emergency response / disaster-management system built as a collaborative hackathon project.

Python AI/ML Backend Systems

→ View Repository

Hackathon project focused on building an agentic AI solution and experimenting with intelligent software workflows.

JavaScript AI Agentic Systems

→ View Repository

Machine-learning based RF fingerprinting work focused on identifying wireless devices from their radio-frequency characteristics.

Python Machine Learning Signal Processing

→ View Repository

AI-powered hospital operations dashboard developed for Mumbai Hacks, combining forecasting, resource intelligence, staffing recommendations and operational alerts.

Python Streamlit Machine Learning Pandas

→ View Repository

Machine-learning application using KNN classification to estimate heart-disease risk through an interactive Streamlit interface.

Python Scikit-learn KNN Streamlit

→ View Repository

ML-based classification work for identifying Bluetooth devices from extracted signal characteristics.

Python Machine Learning Streamlit

→ View Repository

Artificial Intelligence
Machine Learning
Deep Learning
Generative AI
Agentic AI
Computer Vision
RF / Signal Processing
Full-Stack Development
System Design
Cloud & DevOps
Data Structures & Algorithms

BUILD → BREAK → LEARN → SHIP → REPEAT
_{Still learning. Still experimenting. Still building.}