Abdullah Jawed

AI Projects

DataSmith - AI-Powered SQL Chatbot

An AI-powered chatbot that transforms how companies interact with their data. Empowers employees to access and analyze SQL databases using natural language—no technical expertise required. Translates questions into SQL queries and provides actionable insights.

Python LLM NLP SQL FastAPI

LLM Fine-tuning System

Developed and fine-tuned Large Language Models for specialized NLP tasks. Built custom training pipelines using PyTorch and TensorFlow for domain-specific applications.

Python PyTorch TensorFlow LLM NLP

Computer Vision Document Verification

High-accuracy computer vision system for automated document verification. Implemented advanced image processing and OCR techniques for real-time document analysis.

Python Computer Vision OpenCV TensorFlow OCR

NLP Chatbot Platform

Built intelligent NLP chatbots for customer service automation. Integrated with multiple LLM APIs and deployed on cloud infrastructure for scalable solutions.

Python NLP FastAPI Azure OpenAI API

Multi-AI Agent System

Developed multi-agent AI systems using CrewAI framework for complex task orchestration. Implemented agent collaboration and workflow automation.

Python CrewAI LangChain Multi-Agent

Scalable AI Microservices

Architected and deployed scalable AI solutions using microservices architecture. Implemented cloud-native AI services on Azure and GCP with API gateways.

FastAPI Microservices Azure GCP Docker

ai_thinking_terminal.log

[INFO] Initializing neural network...

[INFO] Loading pre-trained weights...

[PROCESS] Forward pass: 1.2ms

[DEBUG] Attention weights computed

[INFO] Model inference complete

[WARNING] Low confidence threshold detected

[PROCESS] Backpropagation: 2.1ms

[INFO] Gradient descent step completed

[DEBUG] Loss: 0.0234

[PROCESS] Model checkpoint saved

[INFO] Training epoch 42/100

[INFO] Accuracy: 94.7%

Experience Timeline

2025 - Present

Manager AI, Technology Operations

Leading AI project management and solution testing initiatives for enterprise deployment. Implementing AI observability frameworks and operational systems to ensure reliable and scalable AI infrastructure.

2022 - 2024

AI Engineer

Worked on implementing AI solutions and automation for internal company efficient projects. Developed and deployed machine learning systems to streamline operations and enhance productivity.

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