AI Engineer

Muzammil Nawaz Khan

Computer Engineering Graduate from NUST, specializing in AI, Machine Learning, and Computer Vision.

Research Interests

Artificial Intelligence

Deep learning architectures & neural network optimization

Computer Vision

Image processing & pattern recognition systems

Biomedical AI

Medical image segmentation & diagnostic systems

Muzammil Nawaz Khan - AI Engineer
python
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# Neural Network Architecture
class AIModel:
def __init__(self, layers):
self.layers = layers
self.optimizer = "adam"
def forward(self, x):
for layer in self.layers:
x = layer(x)
return x
def train(self, data, epochs=100):
for epoch in range(epochs):
loss = self.compute_loss(data)
self.backpropagate(loss)
return self.metrics
Portfolio

Featured Projects

Explore my portfolio of AI and machine learning projects, showcasing cutting-edge solutions in computer vision, deep learning, and data science.

Luggage Threat Detection

Luggage Threat Detection

Developed ANN architecture for image classification of potential threats in luggage images with high accuracy in threat identification.

PythonANNOpenCVImage Classification
License Plate Recognition

License Plate Recognition

Created pipeline for license plate localization using edge detection and implemented robust plate isolation system.

PythonOpenCVNumPyComputer Vision
Braille Digits Recognition

Braille Digits Recognition

Built system to recognize Braille characters through dot pattern analysis and distance metrics for character differentiation.

PythonOpenCVPattern Recognition
Cat Dog Classification

Cat Dog Classification

Implemented CNN models with and without pooling and dropout layers, demonstrating regularization techniques.

PythonTensorFlowKerasCNN
Skin Image Segmentation

Skin Image Segmentation

Designed segmentation system using Connected Component Labeling and achieved accurate results with IoU metrics.

PythonOpenCVImage Segmentation
Retinal Image Segmentation

Retinal Image Segmentation

Developed method for segmenting retinal structures using point and multi-level thresholding techniques.

PythonOpenCVMedical Imaging
Career

Professional Experience

Junior AI Engineer

CareCloud (MTBC) - Bagh, AJK

July 2025 - Present

Key Accomplishments

  • Developed Python scripts to interface with Hikvision NVR systems, successfully fetching raw logs of employee facial matches for processing
  • Designed and implemented data cleaning rules to remove duplicate records and filter out non-attendance related movements, ensuring only valid check-ins were recorded
  • Transformed noisy raw camera data into structured, accurate attendance records, directly enabling the HR system to track employee productivity and presence reliably
  • Working on RCM (Revenue Cycle Management) AI solutions with RAG pipeline to optimize medical coding and reduce claim denial rates by ensuring correct modifier usage
  • Collaborating with cross-functional teams to integrate AI solutions into existing healthcare systems
  • Researching and developing new AI tools and technologies including speech recognition-based language understanding and image-based recognition systems

Technologies & Methods

PythonTensorFlowOpenCVREST APIsNode.jsSQLRAGNLPComputer VisionData ScienceHikvision NVRHealthcare AI

Biomedical AI Research and Development Intern

RiseTech - Islamabad, Pakistan

July 2024 - Sept 2024

Key Accomplishments

  • Developed 3D medical image segmentation models using BraTS2020 dataset for brain tumor diagnosis
  • Implemented SegFormer3D and UNet 3D architectures using TensorFlow and PyTorch
  • Optimized deep learning models for improved accuracy in tumor segmentation
  • Evaluated model performance using dice scores and IoU metrics
  • Streamlined workflows by establishing models as benchmarks for future comparisons

Technologies & Methods

PythonTensorFlowPyTorchMedical Imaging3D SegmentationDeep Learning
Expertise

Technical Competencies

A comprehensive overview of technical skills and expertise acquired through academic coursework and research projects

AI & Machine Learning

TensorFlowPyTorchDeep LearningComputer VisionCNNRNNTransfer Learning

Programming & Tools

PythonOpenCVNumPyMATLABC++Java

Domain Expertise

Medical ImagingImage SegmentationPattern Recognition3D SegmentationEdge DetectionMorphological Operations

Frameworks & Libraries

Scikit-learnLangChainStreamlitGoogle ColabMongoDBMySQL
15+
Technologies
6+
Projects
4+
Domains
1+
Years Experience
Credentials

Professional Certifications

Industry-recognized certifications validating expertise in AI, Machine Learning, and Software Development

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IBM AI Engineering Professional Certificate

IBM - Coursera2024

Comprehensive certification covering Machine Learning, Deep Learning, Computer Vision, and AI deployment strategies.

PythonTensorFlowPyTorch+4 more

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IBM Generative AI Engineering Professional Certificate

IBM - Coursera2024

Professional certificate covering Generative AI fundamentals, LLMs, and AI engineering practices.

Generative AILLMsPrompt Engineering+2 more

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IBM Deep Learning with PyTorch, Keras and TensorFlow

IBM - Coursera2024

In-depth training on deep learning frameworks including PyTorch, Keras, and TensorFlow for building neural networks.

PyTorchKerasTensorFlow+4 more

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IBM RAG and Agentic AI

IBM - Coursera2024

Specialized certification in Retrieval-Augmented Generation (RAG) and building agentic AI systems.

RAGAgentic AIVector Databases+3 more

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Building GenAI Applications and Agents

Coursera2024

Hands-on certification for building Generative AI applications and intelligent agents.

Generative AIAI AgentsApplication Development+2 more

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Generative AI Engineering with LLMs

Coursera2024

Advanced engineering practices for working with Large Language Models in production environments.

LLMsGenerative AIAI Engineering+2 more

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Large Language Model Operations (LLMOps)

Coursera2024

Operations and deployment strategies for Large Language Models including monitoring, scaling, and maintenance.

LLMOpsMLOpsModel Deployment+3 more

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RAG for Generative AI Applications

Coursera2024

Specialized training in implementing Retrieval-Augmented Generation for enhanced AI applications.

RAGVector SearchEmbeddings+2 more

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Modern Data Strategy for Enterprise Generative AI

Coursera2024

Enterprise-level data strategy and architecture for implementing Generative AI solutions.

Data StrategyEnterprise AIData Architecture+2 more

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Informed Clinical Decision Making using Deep Learning

Coursera2024

Application of deep learning techniques for medical and clinical decision-making systems.

Healthcare AIDeep LearningMedical Imaging+2 more

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Complete Modern C++ (C++11/14/17)

Udemy2024

Comprehensive training in modern C++ features including C++11, C++14, and C++17 standards.

C++C++11C++14+3 more
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