| Project | Description | Tech Stack |
|---|---|---|
| Aegis | Enterprise Hospitality OS with Vision AI & Real-time SOS | GenAI, WebSockets, GCP |
| HorizonByte | Document-aware RAG AI (No high-level frameworks) | FastAPI, FAISS, Llama 3.3 |
| Disha Darshak | AI Career Co-pilot (Top 10 @ Google Cloud GenAI) | Next.js, Gemini, Firebase |
- AI & Machine Learning: Generative AI, RAG Pipelines, Vector Databases (FAISS), Computer Vision (YOLO), NLP, GNNs (Neural-LAM), Classical ML, Deep Learning.
- Frameworks & Libraries: PyTorch, Keras, Scikit-learn, Pandas, Seaborn, Streamlit, FastAPI, Selenium, FFmpeg, BeautifulSoup.
- Backend & Cloud: Google Cloud Platform (GCP), Firebase, Docker, WebSockets, WebRTC, MongoDB, SQL/RDBMS, Dialogflow.
- Languages & Tools: Python, C/C++, SQL, HTML/CSS, Git, GitHub, Roboflow, VS Code.
- Open Source Contributor, Neural-LAM: Refactored graph validation logic into modular architecture; contributed to global weather forecasting integration.
- Python Automation Engineer: Engineered hybrid Selenium/Multi-threading solutions reducing manual processing time by 95% and boosting throughput by 4x.
- Lead & Mentor, SAMIDHA: Overseeing operations and mentoring students in peer-learning workshops for underprivileged learners.
while life_is_running:
skills.improve()
knowledge.expand()
if logic == "flawless":
create_impact()
else:
debug_and_try_again()
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