Full Stack Developer with end-to-end project execution experience, strong ownership, and a system-level perspective. Graduate of Kamatech’s industry-focused Bootcamp in collaboration with Vast Data, with hands-on experience in real-time processing and cloud-based systems. Skilled in tackling complex engineering challenges and delivering clear, efficient, and well-structured solutions, while quickly and independently learning new technologies and integrating them effectively into real-world projects.
Sensors - Cloud-based platform for agricultural data management and analytics

Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Set up and configured MinIO (S3) for data storage with a Lifecycle Policy.
• Built an anomaly detection model using scikit-learn and integrated it into a real-time Apache Flink streaming pipeline.
Connected the system to Kafka and MQTT pipelines and integrated PostgreSQL for data storage and processing.
Deployed a complete Edge Device including a visual GUI monitoring interface.
Integrated Grafana for real-time visualization and system monitoring.
Generated embeddings and built a pgvector-based similarity search API.
• Packaged and ran the entire system using a unified Docker Compose deployment

03-05/2025 : AI-Based Interview Management System
AI-based system for managing interviews and generating automated feedback.
• Tech Stack: .NET Core, Python, Angular, React, MySQL.
• Integrated AWS S3 for file management and implemented secure login with JWT.
• Integrated Gemini LLM API to generate automated interview feedback.
• Built an advanced UI using MUI, Angular, Redux, and React Context.
• Developed following the layered architecture model in .NET using Dependency Injection.
• Deployed the system on Render and Cloud Clever.
Fluent