I architected a 6‑layer Clinical AI Decision Support System for Chronic Kidney Disease, integrating calibrated ML prediction (AUC 0.98), SHAP‑based feature explainability, and RAG‑driven evidence retrieval from KDIGO and NIDDK clinical guidelines.
I engineered confidence‑based decision modes (SAFE / NORMAL / VERBOSE) with Human‑in‑the‑Loop governance, enabling controlled fallback to clinician review under uncertain predictions — with full JSON audit trails for traceability.
I optimized async FAISS retrieval to 166 ms within a 2.6 s end‑to‑end pipeline, achieving 100 % SHAP feature coverage and a 0.80 reliability score.
I engineered a low‑latency transaction risk scoring API using FastAPI and Logistic Regression, optimized for high‑concurrency inference workloads.
I designed async inference pipelines with caching, structured logging, and multi‑worker deployment, achieving stable performance under concurrent load testing (~160+ RPS with 0 % failures).
I designed a LangGraph‑based multi‑agent system for market intelligence generation using coordinated retrieval, analysis, and strategy agents.
I built an orchestration pipeline integrating RAG, FAISS retrieval, and LLM‑based reasoning to generate structured insights from financial news, market data, and external knowledge sources.
I engineered a production‑style computer vision pipeline for industrial defect detection using YOLO‑based object detection, FastAPI inference services, and containerized deployment workflows.
I built a machine‑learning‑based energy consumption forecasting system using Random Forest and XGBoost models to support usage prediction and operational optimization.
I have skill Scikit-Learn.
My headline reads: AI Engineer | Low‑Latency, High‑Concurrency Systems | RAG, LLMs, FastAPI | IEEE | Production Systems.
I am based in India.
From Jan 2026 to Jun 2026 I worked as an Artificial Intelligence Engineer at International Institute of Medical Science and Technology Council in Bengaluru, Karnataka, India.
I earned a Bachelor of Engineering in Computer Science (Data Science) from KNS Institute Of Technology, graduating in Jun 2026.
I completed my PUC, Science at SJRC Arts, Science and Commerce College, Bangalore‑09, finishing in May 2022.