Software Engineer | Full-Stack · Cloud · AI/ML · DevOps
Designing intelligent, scalable systems that bridge backend, frontend, and cloud technologies.
- 🎓 Pursuing MS in Computer Science at the University of Florida (Aug 2024 – May 2026)
- 💼 3.5+ years at Accenture building large-scale enterprise APIs & backend systems
- ☁️ Experienced with AWS, Azure, Docker, Kubernetes
- 💡 Passionate about AI + System Design + Cloud Development
- 🧩 Always exploring intersections between technology, learning, and accessibility
| Category | Tools |
|---|---|
| Languages | |
| Frameworks | |
| Databases | |
| AI / ML | |
| Cloud | |
| DevOps | |
| Visualization & Design | |
| Testing & Tools |
| Project | Description | Tech Stack |
|---|---|---|
| 🏨 GatorNest | Full-stack hostel management system with secure admin dashboards, JWT auth & Cypress testing | Go · React · PostgreSQL · JWT |
| 🎫 GatorTicketMaster | Seat reservation system using Red-Black Trees & Min Heaps for efficient allocation | Python |
| 🏠 Real Estate Price Prediction | Streamlit dashboard with ML models (XGBoost, RF) for U.S. real estate trends | Python · ML · Streamlit |
| 🧠 Rumor Detection on Twitter | Hybrid LSTM-CNN model classifying rumoured tweets in real-time | Python · TensorFlow · Django |
| 🔗 P2P File Sharing | Java-based BitTorrent-like distributed file sharing system | Java · Networking |
| 💬 Chord P2P System Simulation | Simulated distributed hash table with Chord protocol | Go · Distributed Systems |
- 🧘♀️ I enjoy working on AI-driven learning tools
- 🎨 I love designing interfaces that are simple, minimal, and intuitive
- 🌱 Currently learning Transformer architectures and Kubernetes scaling
- ☕ Fun fact: I debug better with good coffee!

