I'm Aditya, a final-year ECE undergraduate with peer-reviewed publications across Scopus and IEEE venues, and research experience at 5 national institutes including IITs, NITs, and IIIT. Currently pursuing B.Tech in ECE with a specialization in Data Science at SRM Institute of Science and Technology (2023 - 2027).

My work spans federated learning, medical image segmentation, and agentic LLM systems — deployed on edge hardware including Raspberry Pi and FPGA platforms.

• Degree: B.Tech — ECE + Data Science @ SRMIST
• Focus Area: Computer Vision & Agentic AI
• Currently Learning: Advanced Deep Learning & Transformer Architectures
• Currently Working On: ML Pipelines
• Motto: "Where circuits meet code."
• Open To: Research collaborations, internships & innovative projects

$ cat research_interests.txt

[CV]  Computer Vision       → YOLOv11n | OpenCV | real-time defect detection
[BI]  Biomedical Imaging    → liver tumour segmentation | dental radiographs | pneumonia detection
[GI]  Geospatial Imaging    → land submergence analysis | Random Forest + XAI
[AA]  Agentic AI            → LangGraph multi-agent pipelines | RAG systems
[XAI] Explainable AI        → SHAP | Grad-CAM | clinical interpretability
[FL]  Federated Learning    → edge deployment | FedDQPrune | TinyFedPrompt