Hey, I’m Tejanshu Bhandari , a Computer Science and System Engineering student at KIIT, Bhubaneswar, with a minor in Semiconductors and Emerging Technologies — because writing software is fun, but embedding it into silicon? That’s next-level. When I’m not taming TensorFlow or debugging until the coffee runs out, I’m diving into hardware-level logic, optimizing traffic systems with ant colonies, or building gesture recognition models that actually get you. My work blends deep learning, embedded systems, and real-world impact — think of it as System.out.println("Innovation") but in real life.
What Drives Me?
I thrive on bridging software with silicon, theory with action, and ambition with application. I'm always open to meaningful collaborations, open-source work, or a conversation about whether AI can beat assembly.
"In a world full of undefined behaviors, I choose to be deterministic."
Why Me?
- I speak fluent C, Python, Java, and sarcasm
- I've wrangled ARM architecture and survived
- I don't just build projects — I publish them (hello IEEE )
- My ML isn’t just theoretical — it predicts oil markets and detects malware
- And yes, I believe good code should be clean, readable, and a little smug
Whether it's a SpringBoot API, a sign-language detector, or a grid-fault classifier, I bring engineering discipline and creativity that compiles — without warnings.
Projects
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Real-Time Sign Language Detection
Tech Stack: Python, OpenCV, TensorFlow
A computer vision system trained on custom gesture datasets to recognize and convert sign language into text. Integrated with webcam for live predictions. -
Ant Colony Traffic Optimization
Tech Stack: Python, ACO (Ant Colony Optimization), Graph Theory
Implemented a bio-inspired traffic optimization algorithm to minimize congestion and improve urban traffic flow. Includes visual simulation tools. -
Task Manager API
Tech Stack: Java, Spring Boot
Designed a RESTful API backend that allows users to perform CRUD operations on tasks. Scalable and ideal for integration with frontend task apps. -
Oil Market Predictor
Tech Stack: Python, Logistic Regression
A predictive analytics tool utilizing economic indicators to forecast optimal oil purchasing strategies, complete with data visualization dashboards.
Achievements & Certifications
Proof that the grind pays off.
| Organisation | Paper Name |
|---|---|
| Guardians of Credit – ML-based credit risk detection. | IEEE Publications (Machine Learning) |
| Unveiling ML Paradigms – Malware detection via supervised learning. | IEEE Publications (Machine Learning) |
| Enhancing Grid Resilience – ML-enabled fault detection in power systems. | IEEE Publications (Machine Learning) |
Also
- Top 10% – ICDCIT Hackathon Recognized for AI-driven innovation in a national-level coding contest.
- JP Morgan Quantitative Research Internship (via Forage) Completed simulated financial modeling tasks and data analysis pipelines.
- AWS Cloud Architecting Certificate Completed foundational AWS training for cloud deployment and architecture.
