Abdullah Shahzad

Abdullah Shahzad AI Engineer Education University of the Punjab Master of Science in Industrial Engineering & Management • Bronze Medalist (3rd Rank Overall) • Focus: Data-driven decision making, system optimization, and simulation University of Engineering and Technology (UET) Bachelor of Science in Mechatronics & Control Engineering • Gold Medalist (1st Rank Overall), 4-time Merit Scholar, PM Youth Laptop Awardee • Focus: Intelligent systems, automation, and AI integration in engineering Oct 2021 – Nov 2023 Lahore, Pakistan Sep 2016 – Jul 2020 Lahore, Pakistan Experience Optimum Tech May 2023 – Present AI Developer - Python — AI — NLP — LLM Engineer Faisalabad, Pakistan • Built and deployed chatbot backends using Flask and FastAPI, enabling dynamic conversational workflows for various enterprise use cases. • Engineered multi-agent systems using LangChain and LangGraph, integrated with Ollama, Groq, and GPTs, resulting in scalable and context-aware conversational agents. • Fine-tuned custom LLMs for specialized tasks including language classification, diffusion modeling, and lip-sync generation, enhancing task-specific performance by 25–40%. • Developed and maintained vector-based RAG systems for efficient document retrieval, increasing retrieval precision and reducing response latency. • Containerized AI applications using Docker and automated CI/CD pipelines, ensuring consistent deployment across environments and reducing manual errors by 50%. • Designed and implemented image processing pipelines for logo detection and cost estimation from banner images, improving automation accuracy in marketing analytics. • Mentored junior developers on AI system design and deployment best practices, fostering team growth and code quality. Freelance 2022 – Present Python Developer — ML & Data Analytics Specialist Remote • Delivered end-to-end Python solutions across machine learning, deep learning, data analytics, and data mining for various clients. • Built custom ML pipelines and predictive models to generate data-driven insights, helping businesses optimize operations and decision-making. • Conducted time series analysis and forecasting to identify key factors impacting client KPIs and targets. • Provided actionable recommendations through exploratory data analysis (EDA) and feature engineering. • Automated data workflows and model deployment, ensuring scalable, production-ready solutions. Projects Saahil – AI-Based Shopping Search Engine | Shopping Agent, Recommendation Systems, Checkout Integration 2025 • Developed an AI-powered shopping search engine with integrated shopping agent that displays search results and provides intelligent recommendations. • Built recommendation algorithms to help users pick the best options based on their preferences and requirements. • Integrated seamless checkout functionality to streamline the purchase process for enhanced user experience. • Website: saahil.app DockSec – AI-Powered Docker Security Analyzer | CLI Tool, LangChain, DevSecOps 2025 • Built a CLI tool integrating Trivy, Hadolint, and Docker Bench with LLMs via LangChain to deliver smart, prioritized Docker vulnerability analysis. • Developed an AI engine that interprets scan results, assigns risk scores, and suggests actionable, context-aware fixes. • Enabled multi-mode scanning with exportable reports (HTML, JSON, PDF, CSV) for CI/CD pipelines and DevSecOps use. • Packaged for easy installation via PyPI (pip install docksec), with GitHub Actions automating builds, testing, and deployment. Pulsebot – AI-Powered Shopping Assistant | NLP, Recommendation Systems, API Development 2024 • Developed an intelligent shopping assistant providing real-time product recommendations across global marketplaces. • Integrated NLP and recommendation systems to personalize suggestions, boosting user engagement. • Designed API-driven backend for checkout automation, streamlining the online shopping experience. • Website: pulsebot.cc Zenith – AI-Powered Investor Matching Platform | Document Analysis, NLP, Conversational AI 2024 • Developed an AI-driven platform that analyzes pitch decks and business documents to extract key metrics and insights. • Built a smart investor matching engine that connects startups with relevant investors from a structured database. • Integrated a conversational AI interface enabling users to query business data for deeper strategic analysis. • Automated personalized email generation to engage matched investors based on user-specific business profiles. Funded – AI Agent for Financial Solutions | Multi-Agent Systems, LangChain, Workflow Automation 2023 • Built a multi-agent system to collect user data and recommend personalized financial products based on customer profiles. • Automated loan application workflows by forwarding relevant information to stakeholders, improving operational efficiency. • Enhanced customer experience and lead conversion through real-time eligibility checks and tailored financial suggestions. • Website: funded.ae Technical Skills Machine Learning & AI: Machine Learning, Deep Learning, NLP, Generative AI, Fine-tuning LLMs, Computer Vision Frameworks & Libraries: PyTorch, TensorFlow, Transformers, LangChain, LangGraph, CrewAI, Flask, FastAPI Tools & Technologies: Docker, CI/CD, MLOps, DevOps, AWS SageMaker, Git, Linux Specialized Areas: Prompt Engineering, Agentic AI, Time Series Analysis, Data Pipelines, Web Scraping Certifications Google Advanced Data Analytics 2024 Google/Coursera IBM Applied Data Science 2024 IBM/Coursera Kaggle Data Science Micro-Courses 2024 Kaggle LangGraph Introduction LangChain Academy Languages & Interests Languages: Urdu (Native), English (Fluent) Interests: AI Research & Development, Open Source Contributions, Financial Technology Innovation 2024