AI Engineer & Developer

Maham Batool

Computer Vision Engineer, Agentic AI Builder, Deep Learning Developer, Edge AI Specialist, Production ML Engineer

I build production-focused AI systems for computer vision, edge deployment, real-time inference, automation, and modern LLM workflows.

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Maham Batool
Focus Real-time AI systems

AI

Systems

Building practical machine learning pipelines that move from model to deployment.

I specialize in computer vision and deep learning with a strong focus on speed, optimization, and deployment. My work spans object detection, real-time inference, TensorRT acceleration, RAG pipelines, LLM fine-tuning, APIs, and automation.

Computer vision systems with YOLO, OpenCV, TensorFlow, and PyTorch

Edge deployment on Jetson Nano and Raspberry Pi

Model optimization with TensorRT, FP16, and INT8 quantization

Let's Build Resume

MS Artificial Intelligence

NUST CEME, Islamabad. Coursework in deep learning, computer vision, NLP, embedded AI, cybersecurity, AI, and ML.

Edge AI

Real-time inference, GPU acceleration, optimized deployment pipelines, and practical embedded AI builds.

Featured Projects

4

Smoke and fire detection, Whisper speech-to-text, breast cancer detection, and smart parking detection.

Core Track

CV

Computer vision, object detection, CNNs, model optimization, and real-time AI workflows.

Skills & Experience

My skill set combines AI research fluency with developer habits: clean Python, measurable evaluation, API thinking, deployment awareness, and optimization for real-world constraints.

Technical Strengths

Computer Vision
95%
Deep Learning
90%
YOLO / Object Detection
92%
Python ML Stack
94%
TensorRT / Edge AI
88%
RAG / LLM Workflows
84%
AI Engineer

Production-focused systems

Computer vision, inference, and deployment
Computer Vision Developer

YOLO, OpenCV, CNNs

Detection pipelines and evaluation
Edge AI Builder

Jetson Nano, Raspberry Pi

TensorRT, FP16, INT8 optimization
Agentic AI Developer

RAG and automation

LangChain, APIs, LLM workflows
MS Artificial Intelligence

NUST CEME, Islamabad

CGPA 3.19
Deep Learning

Graduate coursework

CNNs, model training, evaluation
Computer Vision & NLP

Graduate coursework

Vision pipelines and language systems
Embedded AI

Graduate coursework

Deployment, optimization, cybersecurity

What I Build

Hire Me

Computer Vision Systems

Object detection, occupancy detection, image classification, OpenCV pipelines, and YOLO-based real-time applications.

Edge AI Deployment

Optimized inference pipelines for devices like Jetson Nano and Raspberry Pi using TensorRT, FP16, INT8, and GPU acceleration.

LLM & RAG Workflows

Scalable retrieval pipelines, LangChain workflows, fine-tuning experiments, and AI automations connected to APIs.

AI App Development

Python-based ML applications with clean interfaces, data handling, evaluation, and deployment-ready structure.

Featured Projects

  • All
  • Vision
  • Language AI
  • ML
Smoke and fire detection project
Jetson Nano + YOLO

Smoke & Fire Detection

Real-time detection pipeline with TensorRT optimization and inference target of 100ms or less.

Whisper speech-to-text project
OpenAI Whisper

Speech-to-Text System

Real-time transcription workflow supporting microphone input and uploaded audio files.

Breast cancer detection project
TensorFlow + UCI Dataset

Breast Cancer Detection

Classification model with structured evaluation for healthcare-oriented ML experimentation.

Smart parking detection project
YOLO + OpenCV

Smart Parking Detection

Computer vision system for detecting parking occupancy and supporting real-time space monitoring.

RAG pipeline project
LangChain + APIs

RAG Pipeline Architecture

Retrieval-augmented workflows for scalable context search, response generation, and automation.

Model optimization project
TensorRT + Quantization

Optimized Inference

Acceleration experiments using GPU workflows, FP16/INT8 quantization, and pipeline tuning.

Tech Stack

Tools I use to move AI projects from experiments to working software.

PythonTensorFlowPyTorchOpenCVYOLOTensorRTNumPyScikit-learnLangChainDockerLinuxGitGoogle ColabJetson NanoRaspberry Pi

Let's Build Real-World AI

Say Hello

Based in:

Islamabad, Pakistan

Mail me:

mahambatooledu@gmail.com

Follow me:

Up

Open to AI engineering, computer vision, edge AI, automation, and ML application work.

Send a short note with your goal, data type, timeline, and deployment target. I can help shape the model, pipeline, evaluation, and production path.

Email Maham GitHub
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