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Mubashar H. AI, Python and General Development

My name is Mubashar H. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, AI Chatbot, Python, TensorFlow, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: AI-driven voice avatars developed for real-time question and answering, AI Assistant for Understanding Documents and Answering Queries, AI-Powered RAG Chatbot for HVAC Engineering Knowledge Base, ChatGPT Assistant: Trained On Domain Specific Questions and Answers, FaceSwapAI AI-Powered Deepfake Video Generation Platform, etc.. I am based in Faisalabad, Pakistan. I've successfully completed 12 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Python and General Development

    1 year

  • Artificial Intelligence

    1 Year

  • Machine Learning

    1 Year

  • AI Chatbot

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

AI-driven voice avatars developed for real-time question and answering

Developed a real-time AI voice avatar for interactive Q&A, leveraging Python, FastAPI, and Django for backend, Whisper for speech recognition, OpenAI GPT for natural language understanding, and ElevenLabs for voice synthesis. Designed and implemented real-time processing pipelines, scalable architecture, and multi-user handling to ensure smooth, accurate, human-like conversations, delivering a responsive, engaging, and fully interactive AI-driven voice experience for live applications.

AI Assistant for Understanding Documents and Answering Queries

Developed an AI-powered document reading and Q&A chatbot that lets users upload PDF, Word, or text files and interact with them through natural conversation. Built with Python (Django), SpaCy, Transformers, and a RAG model for accurate answers. Data stored in PostgreSQL/MongoDB, deployed on AWS with scalable APIs. Designed a Next.js for a smooth, responsive user experience.

AI-Powered RAG Chatbot for HVAC Engineering Knowledge Base

A custom AI chatbot tailored for HVAC engineers, designed to handle technical queries, deliver troubleshooting assistance, and support project documentation through a domain-specific knowledge base. The system leverages Python with Django and modern NLP frameworks such as SpaCy and Transformers, with AI/ML models fine-tuned on HVAC data. Knowledge is stored in PostgreSQL/MongoDB, while deployment is managed on AWS/Azure with scalable API integrations. The front end is built with React and Tailwind for an intuitive, responsive user experience.

ChatGPT Assistant: Trained On Domain Specific Questions and Answers

This custom GPT is trained on MeTutors’ internal knowledge base using OpenAI’s GPT-4, LangChain for orchestration, and Pinecone for semantic vector search. It accurately handles tutor-student workflows, platform policies, and support queries in real time. Internal documents, SOPs, and FAQs are converted into embeddings via OpenAI’s API to deliver context-rich, reliable responses. Built using Python, FastAPI, and JavaScript, the system is fully integrated into the platform, providing scalable, automated assistance with minimal human intervention.

FaceSwapAI AI-Powered Deepfake Video Generation Platform

The platform utilizes TensorFlow for deep learning-based face swapping, with AI and ML models for accurate identity mapping. Django manages the backend, while AWS provides scalable, secure infrastructure with GPU-accelerated instances for fast, real-time processing. User privacy is prioritized with encrypted, stateless processing, ensuring no data or outputs are stored, making the platform both secure and anonymous.

Education

  • GC University

    Bachelor of Computer Science (BCompSc) in Software Development

    2013-01-01-2017-01-01

Languages

  • English
  • Hindi
  • Urdu

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