AI Engineer specializing in Generative AI, Agentic AI, and RAG-based systems. I design and build multi-agent pipelines, chatbots, and knowledge assistants using LangChain, LangGraph, CrewAI, AutoGen, and MCP — grounding LLM responses in real retrieved data, enabling autonomous tool use, and reducing hallucinations through careful prompt engineering. Backed by a strong Deep Learning foundation — CNNs, RNNs, transfer learning, and model optimization — applied to production-grade systems across NLP, computer vision, and medical imaging.
A comprehensive AI & data toolkit built through internships, projects, and relentless self‑learning.
Credentials earned from Anthropic, reflecting hands-on fluency with Claude and agentic AI tooling.
Certificate of completion covering Claude Code — Anthropic's agentic coding tool for delegating development tasks via the command line and IDE integrations.
View Certificate →Certificate of completion on AI fluency foundations — developed in partnership with University College Cork, Ringling College of Art + Design, and the Higher Education Authority.
View Certificate →3 internships across government, private tech & international remote — building real AI systems.
Worked remotely for a US‑based company on advanced ML model optimization and deep learning pipelines. Focused on improving model accuracy and efficiency for regression and classification tasks.
Built production‑ready Generative AI & Agentic AI systems. Designed scalable LLM pipelines and reusable AI components for real‑world deployment.
First professional AI experience at a national government institution. Data analysis, visualization, and ML tasks within Pakistan's digital transformation initiatives.
12 real‑world projects spanning medical AI, computer vision, NLP, agentic AI, data engineering, AgriTech, backend APIs & full‑stack systems.
Automated spine disease classification using deep learning on X‑ray images — high accuracy on limited labelled DICOM medical data.
Deep learning system for binary brain tumor classification from MRI scans using VGG19 transfer learning — tumor vs. no‑tumor with high precision.
ML system predicting optimal vaccine combos for chicks — tackling missing data, high‑cardinality features & real agricultural complexity.
Intelligent voice‑activated assistant powered by Agentic AI — processes speech, reasons via LLM agents & executes real tasks through tools.
ML model that classifies human activities from sensor data — deployed as a web application for real‑time inference with video support.
Comprehensive big data analytics project for the telecom sector — full ETL pipeline, EDA, trend discovery & predictive analytics on large‑scale telco datasets.
End‑to‑end data cleaning and preprocessing pipeline using both R and Python on a real customer churn dataset — preparing raw data for ML model training.
Full‑featured web‑based pharmacy management system built with PHP & MySQL — handles medicines, customers, suppliers, invoices, stock & purchase reports.
A fully agentic research pipeline: search, retrieve, write, and self-critique — built from scratch with LangChain, LangGraph & LCEL, with every tool call logged and verified.
A RESTful patient management API built with FastAPI — demonstrates clean endpoint design, request validation, and full CRUD on patient records.
Literal type checksmodel_dump(exclude_unset=True) — only changed fields are writtenAn agentic pipeline that discovers software houses & tech companies across Pakistani cities that genuinely work with AI — built to surface real leads for AI Engineer roles, internships & freelance work.
Turns any YouTube video or local audio/video file into a searchable transcript and chatbot — ask questions about the content and get answers grounded in what was actually said.
Formal CS education running parallel with 2+ years of real‑world AI engineering experience.
BS Computer Science with a strong focus on Generative AI, Agentic AI, Deep Learning & Data Engineering. Alongside studies, completed 3 internships and 12+ independent projects spanning Generative AI (LLMs, RAG pipelines, prompt engineering), Agentic AI (LangChain, OpenAI Agents SDK, Pydantic AI), Deep Learning (ANNs, CNNs, RNNs), Backend APIs (FastAPI, Pydantic), and Full‑Stack Development (PHP, MySQL, Flask). Goal: full‑stack AI Engineer designing and deploying intelligent, autonomous systems at scale.
Actively looking for internships, freelance AI projects & full‑time AI Engineering roles. ML pipelines, GenAI apps, Agentic systems — ready to contribute & deliver results. Remote and on‑site both welcome.