I'm an Agentic AI & LLM Engineer specializing in designing and shipping production-grade AI systems — from Retrieval-Augmented Generation (RAG) pipelines and LLM fine-tuning to multi-agent orchestration with the Model Context Protocol (MCP). I architect and deploy scalable solutions on AWS (Bedrock, EC2, S3, CloudFront) using Node.js, FastAPI and Flask, backed by strong full-stack and mobile engineering experience with Flutter and Firebase. Passionate about turning complex AI research into reliable, production-ready applications.
Building and scaling an Agentic AI product studio, leading architecture for LLM-powered applications and production-grade AI automation.
Building production-grade Agentic AI solutions with Python, FastAPI, AWS Bedrock, MCP and Postgres/MySQL.
Delivered mobile and web apps, integrating YOLO-based detection models into full-stack Flask backends.
Worked as a multi-modality trainer, refining model outputs across text, vision and audio tasks.
Developed and deployed an LLM-based solution end-to-end using MongoDB, Python and Flask.
Taught advanced mobile app development to graduated engineers.
Developed and deployed Flutter applications integrated with custom ML models (YOLOv8, TensorFlow), including a road-defect detection app and a helmet-detection safety system. Integrated ChatGPT, Firebase and real-time WebSocket streaming into production mobile apps.
LLM, Agents, Insights & Support
LLM, Banking
LLM, MCQ Solving, Education
NLP, Context Matching
NLP, Classification
NLP
Deep Learning, BERT, RoBERTa
Deep Learning, Audio & NLP
Flutter, OpenAI API, Firebase
Flutter, YOLOv8, ML
Flutter, YOLOv8, TTS, WebSocket
Computer Vision, ML
Flutter, YOLOv8, WebSocket
LLM, Machine Learning
Machine Learning
IoT, ML Monitoring
Flutter, YOLOv8, Social
Machine Learning
Drones, Satellite Imagery, ML
Flutter Web, ML
LLM
AWS S3, CloudFront
Machine Learning
Full case studies & GitHub repos available on request
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