I am a Final-year Software Engineering student and a passionate tech lover focused on bridging the gap between Machine Learning, Backend Systems, and DevOps. I thrive in dynamic environments where I can train AI models, serve them through lightning-fast APIs, and deploy them on scalable cloud infrastructures.
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Tools & Concepts: YOLO, OCR, CNNs, Agentic AI, OpenAI SDK, Gemini, Claude, Spec-Kit Plus
Data Tools: Pandas, NumPy, Matplotlib, Plotly, SQL Server
📅 Apr 2026 – Present
- Integrating machine learning models into web applications for recommendation systems and predictive analytics.
- Building high-performance RESTful APIs (FastAPI, Django, Flask) connecting ML models to frontends for real-time predictions.
- Collaborating across React, Next.js, ASP.NET Core, and Spring Boot codebases.
📅 Mar 2026 – May 2026
- Supported CI/CD automation with Jenkins and managed containerized deployments using Docker and Kubernetes on AWS, Azure, and GCP.
- Configured observability and logging using Prometheus and Grafana to monitor system stability.
📅 Jun 2025 – Aug 2025
- Engineered and tested robust ML pipelines using Python, Scikit-Learn, and TensorFlow.
- Improved model accuracy and performance through comprehensive data preprocessing techniques.
| Project | Description | Tech Stack |
|---|---|---|
| 🎓 OBE Management Platform | Full-stack accreditation system with a 22-table schema. Served through NGINX with SigNoz for observability. | React, Django, FastAPI, Docker, PostgreSQL, Celery |
| ☁️ Azure Disaster Response System | Live serverless cloud application with secure Auth0 access and robust deployment lifecycle. | Azure Functions, Cosmos DB, Python, JWT |
| 👁️ Facial Emotion & Gender Recognition | Real-time emotion and gender detection deployed via a Streamlit interface. | Python, PyTorch, TensorFlow, OpenCV, YOLO |
| 🤖 AI Spec-Driven Development | Automated agentic workflow converting natural language specs into documentation and code tasks. | OpenAI SDK, Agentic AI, Python, Docusaurus |
