M. Abdul Mughni

AI/ML Engineer

Passionate AI/ML Engineer with 2 years of experience building intelligent systems. Specializing in deep learning, computer vision, and natural language processing. I love turning complex problems into elegant AI solutions.

About Me

Passionate about building intelligent systems that solve real-world problems

Technical Skills

Programming Languages

🐍
Python80%
⚙️
C++80%

Machine Learning

🔥
PyTorch70%
🧠
TensorFlow75%
🔬
Scikit-learn85%
🎯
Keras70%

AI/ML Specializations

👁️
Computer Vision80%
💬
Natural Language Processing75%
🎨
Generative AI82%
🧬
Deep Learning80%

Tools & Frameworks

⛓️
LangChain85%
🤗
Hugging Face90%
🐳
Docker80%
☁️
AWS/GCP40%

What I Do

  • Develop and deploy machine learning models and AI applications for production environments
  • Build computer vision systems for image and video analysis
  • Create NLP solutions for text processing and language understanding
  • Design AI-powered applications using modern frameworks

Location

Lahore, Pakistan

Available for remote work

Experience

My professional journey in AI and Machine Learning

Associate AI Engineer

Full-time

Terafort

Lahore, Pakistan • June 2024 - Present

Designed and deployed scalable Generative AI solutions for social and interior design applications, with a focus on real-time performance, user engagement, and safety.

Key Achievements:
  • Designed and launched Generative AI features that boosted user engagement by 35% and improved safety with 50% fewer false positives.
  • Optimized and fine-tuned ML models, making them 40% faster while maintaining high output quality.
  • Built an AI-powered interior design system using YOLO for accurate furniture recognition, spatial adjustments, and dynamic style suggestions.
PythonPyTorchDiffusion ModelsFine-TuningPrompt EngineeringVision TransformersFastAPIDockerGPU Cloud

Lead Data Science

Volunteer

Google Developer Student Club

Hybrid • Sept 2023 - June 2024

Led workshops, study jams, and hands-on sessions on Data Science, Machine Learning, and AI for university students.

Key Achievements:
  • Conducted workshops on Python, data analysis, and machine learning for students.
  • Delivered talks and workshops on topics like Data Visualization, Neural Networks, and Generative AI, enhancing members' technical skills.
  • Built hands-on projects e.g., predictive models to showcase real-world use cases of AI/ML.
PythonData AnalysisMachine LearningWorkshop DeliveryMentorship
Soft Skills:
LeadershipMentorshipPublic SpeakingTeam Collaboration

Featured Projects

Showcasing my AI/ML expertise through real-world applications

Image-Based-Malware-Detection

Completed

A detection system that tells benign and maliciuos software and its class.

PythonTensorflowDeep learningOpenCV

Domain-Specific RAG chatbot

Completed

Built a domain expert chatbot by integrating LLMs with a RAG pipeline, using FAISS-based semantic search for efficient document retrieval and improving response relevance by 30%.

PythonLangChainFaissStreamlit

Credit-Card-Fraud-Detection

Completed

This project is a machine learning based project for detecting fraudulent credit card transactions

PythonPandasNumPyMatplotlib

Sentiment Analysis

Completed

This is a project for predicting sales. The goal is to take historical data (e.g. on advertising spend, product features, dates, etc.) and train a model to forecast future sales

PythonNumpyPandasScikit-learn

Gen AI Social App

Completed

Developed and deployed advanced Generative AI features including image reimagination, AI animation, and creative content generation using PyTorch, TensorFlow, and LangChain. Optimized model performance, implemented content moderation, and fine-tuned diffusion models for improved visual quality and speed.

PythonPyTorchTensorFlowLangChain

AI Interior Design

Completed

Developed the model pipeline for generating multiple interior styles using Diffusion Models, implemented scene segmentation and mask-guided generation, and improved user interface responsiveness for smoother real-time previews.

PythonDiffusion ModelsSegment AnythingFastAPI

AI Tattoo Try On

Completed

Implemented advanced image generation and skin-mapping models using Stable Diffusion and ControlNet, optimized inference speed for production, and enhanced realism through fine-tuning and prompt engineering.

PythonDiffusion ModelsControlNetsOpenCV

SnapWeb AI

Completed

Contributed to an AI-powered tool built during an International Hackathon that uses GPT-4, Gemini, and DALL-E 3 to generate responsive HTML/CSS websites from user-provided images or text prompts. Designed to help non-coders instantly create professional web designs.

StreamlitGPT-4GeminiDALL-E 3

3D Meditation

Completed

Contributed to an immersive 3D and VR-based meditation project in an International Hackathon that transforms traditional mindfulness into an interactive 3D experience. The project integrates 3D modeling, VR development, and UX design to create a deeply engaging and calming virtual meditation environment.

PythonOpenAI Shape-eOpenAI Point-eStable Diffusion

Get In Touch

Ready to collaborate on your next AI project? Let's connect!

Send a Message

Contact Information

mughniqureshi@gmail.com
Lahore, Pakistan