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My name is Muhammad I. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Artificial Intelligence, Chatbot Development, AI Chatbot, AI Agent Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Real-Time Facial Detection & Emotion Recognition, Gesture-based music control with hand tracking in computer vision, Deepseek R-1 Coding Assistant Local LLM, AI-Powered Customer Support Bot – Multilingual, RAG-Based, AWS OpenSearch Pipeline, etc.. I am based in Islamabad, Pakistan. I've successfully completed 11 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
AI, Cloud and General Development
2 years
Deep Learning
1 Year
Artificial Intelligence
1 Year
Chatbot Development
1 Year
Additional skills
- Deep Learning
- Artificial Intelligence
- Chatbot Development
- AI Chatbot
- AI Agent Development
- AWS Development
- Computer Vision
- NLP Tokenization
- Data Scraping
- Data Science
- Data Science Consultation
Direct hire
Potentially possible
Previous Company
Systems Limited
Experience Highlights
Real-Time Facial Detection & Emotion Recognition
Developed a real-time face detection and emotion recognition system using deep learning and computer vision. The model identifies faces from live video streams, detects facial features, and classifies emotions such as happiness, sadness, anger, and surprise. Built with OpenCV, TensorFlow, and CNN architectures, it enables interactive applications in human-computer interaction, security, customer behaviour analysis, and healthcare monitoring.
Gesture-based music control with hand tracking in computer vision
This project focuses on creating an AI-powered, gesture-controlled music system using computer vision and deep learning techniques. The goal was to design a touchless and intuitive way to interact with music playback by simply using hand gestures, eliminating the need for physical buttons or traditional input devices. At its core, the system leverages OpenCV for computer vision processing and MediaPipe for robust hand and finger landmark detection. By capturing a video stream from a standard webcam, the model detects the user’s hand movements in real time and translates them into actions.
Deepseek R-1 Coding Assistant Local LLM
I have developed a DeepSeek R-1 Coding Assistant which is a locally deployed LLM designed to provide secure, private, and efficient coding assistance. It supports multiple programming languages with features like code completion, debugging, and natural language-to-code generation. Running entirely offline, it ensures data privacy, fast response times, and seamless integration for developers, students. Benefits includes; 1- Run it on your local gpu machine 2- Fast instant results 3- Code completions and review 4- Easy to deploy Lets connect and start building your own AI Assistant.
AI-Powered Customer Support Bot – Multilingual, RAG-Based
Developed a state-of-the-art AI customer support bot for AI Cortexo, designed to provide instant, accurate, and interactive assistance to users. This intelligent bot leverages Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Text-to-Speech integration to ensure seamless user experiences across multiple languages. With a modern, intuitive interface and 24/7 availability, it demonstrates how AI-driven automation can enhance customer engagement, reduce support costs, and deliver real business value.
AWS OpenSearch Pipeline
I developed a powerful repository to seamlessly integrate Amazon OpenSearch Serverless into Retrieval-Augmented Generation (RAG) pipelines. . 💼 Key Responsibilities: 🔍 Implemented Similarity Search: Developed APIs to perform fast and accurate vector-based searches. ☁️ Serverless Architecture: Leveraged the scalability and flexibility of Amazon OpenSearch Serverless. 🧠 Optimized Vector Storage: Built an efficient system for storing and retrieving high-dimensional vector embeddings. 📈 Enhanced RAG Applications: Provided robust support for contextual data management and retrieval.
Education
HITEC UNIVERSITY, TAXILA Taxila, Pakistan
Bachelor of Computer Science (BCompSc) in
2017-01-01-2021-01-01
National University of Computer and Emerging Sciences FAST Islamabad
Master of Computer Science (MSCS) in Data Science
2022-01-01-2024-01-01
Languages
- English
- Urdu
Github