AI engineer in training

Abdullah Naeem

Applied AI Engineer

BS (AI) Student at FAST NUCES, Islamabad.

Expected Graduation: June 2026 | CGPA: 3.2

A more grounded snapshot.

Artificial Intelligence undergraduate focused on machine learning, computer vision, and agentic AI systems. Experienced in building practical AI solutions including anomaly detection, multi-agent workflows, reinforcement learning applications, and LLM-powered automation. Strong interest in developing scalable, production-ready systems that translate AI research into real-world impact.

Languages

PythonC++SQLC#MASM 8086

AI / ML

PyTorchTensorFlowScikit-learnYOLOv8Reinforcement LearningComputer VisionNLP

LLM Systems

LangChainReActReflexionPrompt EngineeringAPI Integration

Web + Automation

ReactUvicornn8nHTMLCSS

Tools

GitDockerLinuxVS CodeMySQL

Things I have actually built and learned from.

01

SurveilX – AI-Powered Anomaly Detection

Explore project

Developed an intelligent surveillance system to detect anomalies such as fighting, stealing, burglary, and shooting. Implemented Visual Prompting for natural language-based scenario search. Built real-time backend using Uvicorn and interactive dashboard using React.

CNNCLIPUvicornReactComputer Vision
02

Crisis Simulator (Multi-Agent Disaster Response)

Explore project

Built multi-agent system coordinating drones and emergency vehicles for earthquake response. Implemented ReAct and Reflexion frameworks for intelligent planning and decision-making.

ReActReflexionPythonLLMs
04

Voyant (Autonomous Trip Planner)

Designed an autonomous agent workflow to generate personalized travel itineraries. Integrated real-time data retrieval and reasoning pipeline.

Agentic AILangChain
03

Construction PPE Monitoring System

Developed computer vision system for real-time safety compliance detection. Trained CNN models to detect helmets and protective equipment on construction sites.

CNNPyTorchComputer Vision
05

Maize Production Optimizer

Applied reinforcement learning algorithms to optimize crop yield. Simulated environmental variables and resource allocation strategies.

Reinforcement Learning
01

VeriVision – Media Provenance Verification App

Explore project

Built a media provenance system to verify visual content using perceptual hashing and deep feature similarity. Used ResNet50 embeddings with FAISS indexing for efficient image matching and tamper detection.

BlockchainFAISSPerceptual HashingResNet50
05

AI Content Automation Workflow

Developed automated workflow for generating and scheduling context-aware social media posts.

n8nGemini APIX API
05

Speaker Age Predictor

Built regression model to estimate speaker age from acoustic features.

RegressionLibrosaScikit-learn

Actively seeking full-time AI engineering roles and excellent technical opportunities.

2026 Abdullah Naeem

Built with care, edited until it stopped looking autogenerated.