An AI Engineer specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and Video Analytics, with experience in building solutions for Recommendation Systems, AI-powered Content Pipelines, Computer Vision in Real-Time Applications, and Chatbot Integrations.
• Fine-tuned Large Language Models (LLMs) using PyTorch and LoRA.
• Implemented RAG solutions with Azure AI Studio and Cognitive Services.
• Built custom tools for LLM database/API interactions.
• Developed AI-powered content pipelines and article recommendation systems.
• Built GAN models for AI-generated human image pipelines.
• Standardized data ingestion pipelines on AWS services.
• Architected video analytics applications using Python, C++, and TensorFlow.
• Enhanced object detection using YOLO and ResNet.
• Created real-time face emotion and hand pose detection systems.
• Specialization in Artificial Intelligence
• Focused on Large Language Models (LLMs) and RAG systems
• Image Processing and Computer Vision
• Intelligent Systems and Advanced Algorithms
• Final Year Project: AI-driven Object Recognition Systems
G.C.E Advanced Level: Achieved 3 A's in Physical Science Stream
• Ranked 149th Nationwide with a Z-Score of 2.35/3.00
• Top 1% of academic performers
Video Analytics, Computer Vision and Image Processing
CNN, R-CNN, Darknet, Yolo, Resnet and EfficientNet
Tensorflow, Pytorch
Image Classification, Object Character Recognition, Object Detection, Image Segmentation and Face Emotion Detection
Top 15% in IEEE Extreme 6.0, 7.0, 9.0
Flask, SqlAlchemy, Scrapy
Java SE & EE, Springboot, JPA, JDBC
Facebook, Instagram, Telegram, Slack, Viber, Skype Chat bot creation
Alexa and google Voice Interface Creation
HTML5, JS, CSS development
Android, Ios and Flutter Development
AWS and Azure Deployments
Best Results in Physical Science Stream with 3As' with Island rank 149 and District Rank 45
IEEE Extreme is a programming competition around the globe.
This was a data processing problem which was completed using R