Passionate about building intelligent systems that make a difference. Currently pursuing B.Tech in AI & Data Science at Amrita Vishwa Vidyapeetham with expertise in Machine Learning, Deep Learning, Computer Vision, and Robotics.
Building the future with AI
I'm a driven and technically adept Third-Year AI & Data Science student with a strong foundation in Python, Java, and C. My expertise spans across designing and deploying scalable ML systems, real-time applications, and robust AI solutions.
With hands-on experience in deep learning, robotics control, and API development, I'm passionate about creating societally beneficial solutions. I thrive in collaborative environments and am always eager to tackle new challenges in the rapidly evolving world of AI.
December 2025 – March 2026
Leveraged the open-source RAG-Anything framework to build a scalable knowledge system using AWS Bedrock for LLM orchestration, integrating Redis and FAISS for high-speed vector search and Neo4j for graph-based multi-hop retrieval. Additionally developed an OpenCV-based document restoration pipeline to enhance degraded archival records by removing brown artifacts, normalizing backgrounds, and sharpening text, significantly improving OCR accuracy.
September 2025 – November 2025
Developed a web-based AR tool using FastAPI and OpenCV for the AR Rug Visualizer. Implemented floor plane estimation and projective geometry to map 2D product images onto user-uploaded room photos with correct 3D perspective. Integrated Pyodide for browser-based Python execution, enabling seamless client-side AI processing.
March 2025 – April 2025
Designed and developed plugins for Microsoft Security Copilot to enhance security workflows. Built RAG pipelines using DeepSeek R1 for context-aware KQL generation. Implemented agentic workflows for dynamic prompt rewriting and adaptive KQL construction. Collaborated with engineers to deploy plugins using CI/CD pipelines, improving SOC efficiency.
Analyzed human gut and saliva microbiome data using Granger causality tests to identify causal relationships. Built AI validation pipeline with web scraping and custom deep research workflow to confirm microbiome cause-effect pairs.
SLAM-enabled robot with autonomous navigation and real-time segmentation. Features gesture-based remote control over Wi-Fi using computer vision for intuitive operation.
Multi-task CNN combining U-Net segmentation and ResNet classification. Includes secure web/mobile UI with geolocation services for dermatologist recommendations.
End-to-end summarization and RAG Q&A system on hydrogen storage research papers. Fine-tuned Facebook's BART model for high-quality abstractive summaries.
Neural network-based system for predicting DDoS attacks using real-time network traffic analysis and pattern recognition.
IoT-based system for optimizing home energy consumption using machine learning algorithms and real-time monitoring.
I'm always open to discussing new opportunities, collaborations, or just having a chat about AI and technology. Feel free to reach out!