🚀 Executive Summary
I am a highly driven Artificial Intelligence & Data Science Engineer specializing in translating complex theoretical research into scalable, production-grade applications. My expertise spans Machine Learning, Deep Learning, Computer Vision, and Generative AI. I am deeply passionate about Healthcare AI, having developed advanced Digital Twin systems and predictive analytics platforms.
With a robust full-stack foundation in FastAPI, React, and Python, I architect end-to-end MLOps pipelines deployed on modern Cloud Technologies. I thrive at the intersection of AI research and software engineering, building intelligent systems that solve high-impact, real-world problems.
I am a passionate AI Engineer specializing in Machine Learning, Computer Vision, and full-stack integration. I build robust, production-ready AI systems that solve real-world problems. My expertise lies in taking complex Deep Learning architectures and deploying them into scalable, user-centric web applications.
- 🏥 Healthcare AI: Pioneering predictive health telemetry and Digital Twin simulations.
- 👁️ Computer Vision: Developing low-latency object detection and anomaly recognition systems.
- 🧠 Generative AI & RAG: Architecting LLM-powered knowledge discovery frameworks.
- ⚙️ MLOps: Optimizing deep neural network deployments for real-time edge environments.
(Click on a project to expand its technical details)
🔬 AI_Hematologist — Intelligent Blood Smear Analysis & Clinical Copilot Platform
- Description: A full-stack, state-of-the-art diagnostic assistant designed to bridge the gap between AI and pathology.
- About: An end-to-end AI-powered hematology analysis system leveraging Computer Vision, Deep Learning, and Generative AI to automate microscopic blood smear diagnostics.
- Impact: Empowers researchers and healthcare professionals with instant, explainable insights through an automated disease risk engine and Google Gemini AI Medical Copilot.
- Architecture: Integrates YOLOv8 for real-time cell detection, EfficientNetB0 for RBC morphology classification, and Google Gemini AI for clinical report generation.
- Deployment: Powered by a FastAPI backend and a Next.js 15 dashboard with a modern glassmorphism UI.
- Link: View Repository
🚨 AI_ROAD_GUARD — Real-time accident detection and dispatch system
- Impact: Automates collision detection on smart highways to drastically reduce emergency response times.
- Architecture: Integrates YOLOv8 for real-time inference, DeepSORT for multi-object trajectory tracking, and OpenCV for spatial analytics.
- Deployment: Powered by a FastAPI backend and React dashboard with automated Twilio WhatsApp integration.
- Link: View Repository
🏥 healthcare-digital-twin — Predictive telemetry and digital twin simulation
- Impact: Empowers clinicians to run risk-free, predictive medical simulations before real-world interventions.
- Architecture: Fuses multivariate time-series forecasting (LSTMs) with tabular clinical data risk stratification (XGBoost and SHAP).
- Deployment: Real-time synchronization handled by high-concurrency FastAPI microservices.
- Link: View Repository
🤟 SIGN-LANGUAGE-BRIDGE — Sequence-to-sequence kinematic translation
- Impact: Breaks down communication barriers by translating complex sign language sequences into natural text and speech in real-time.
- Architecture: Employs MediaPipe for spatial hand-landmark extraction and attention-augmented LSTM neural architectures.
- Deployment: Optimized for asynchronous inference on edge devices.
- Link: View Repository
🕵️ DeepFake-Detection — Synthetic media forensics pipeline
- Impact: Ensures digital authenticity and combats AI-generated misinformation by detecting adversarial image perturbations.
- Architecture: Utilizes deep Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) inside a containerized PyTorch ecosystem.
- Deployment: Exposes high-throughput inference endpoints.
- Link: View Repository
🧠 Knowledge-Sphere — LLM-powered knowledge discovery framework
- Impact: Centralizes organizational intelligence with highly accurate, context-aware document search.
- Architecture: A scalable Retrieval-Augmented Generation (RAG) framework built with LangChain, distributed vector stores (ChromaDB), and open-weight Large Language Models.
- Deployment: Dockerized for immediate enterprise onboarding.
- Link: View Repository
🚀 LifeOS AI — Autonomous AI Chief of Staff
- Impact: Mitigates cognitive overload by algorithmically prioritizing daily tasks against long-term objectives.
- Architecture: Integrates Google Gemini 2.5 Pro with a custom Decision Engine for real-time executive briefings.
- Deployment: A full-stack Next.js application with Zustand state management and modern glassmorphism UI.
- Link: View Repository
🧩 AI-Sudoku-Solver — End-to-End CV & Deep Learning Pipeline
- Impact: Automatically extracts, parses, and solves Sudoku puzzles from raw, unconstrained images.
- Architecture: Employs OpenCV for grid extraction, a custom Keras CNN for digit OCR, and an optimized backtracking algorithm.
- Deployment: A microservice infrastructure decoupling a FastAPI backend from an interactive Streamlit frontend, fully containerized via Docker.
- Link: View Repository
- 🧠 End-to-End AI Engineering: Consistently architected and deployed production-ready, full-stack AI platforms encompassing backend (FastAPI), frontend (React), and deep neural networks.
- 🏥 Healthcare Innovation: Pioneered dynamic Digital Twin systems capable of simulating complex human physiological states in real time.
- 🏎️ Edge AI Development: Engineered ultra-low-latency computer vision pipelines for live traffic accident detection and immediate emergency alerting.
- 🤝 Open Source Leadership: Actively building and maintaining complex AI repositories, setting industry standards for scalable machine learning deployments.
"The future belongs to those who learn more skills and combine them in creative ways."