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Muhammad Q. AI, Machine Learning and Generative AI Platforms

My name is Muhammad Q. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: AI Chatbot, Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, 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: AI Petition Assitant (Speech to Text and Text to Speech Chatbot), Ekho Voice Enable AI Sales Chatbot, Think.Gift Multi AI-Agent, SMARTSORT AI, LLM Marketplace, etc.. I am based in Southampton, United Kingdom. I've successfully completed 7 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and Generative AI Platforms

    1 year

  • AI Chatbot

    1 Year

  • Artificial Intelligence

    1 Year

  • Natural Language Processing

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Graphcore

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Experience Highlights

AI Petition Assitant (Speech to Text and Text to Speech Chatbot)

Reduce the effort of EB1A application time from months to minutes with the help of Generative AI. We've established an agile process for our software development cycle, starting with gathering system requirements from the client. These requirements are broken down into smaller tasks to create Proof of Concepts (POCs) and working prototypes. Task management is handled using JIRA, where developers take on coding and initial testing before passing tasks to QA. Client feedback on prototypes is crucial, leading to continuous improvements.

Ekho Voice Enable AI Sales Chatbot

The Ekho platform is an advanced AI-powered platform designed to train sales agents through interactive voice-based conversations. Developed using Python and Large Language Models (LLMs), the AI agent simulates real-world sales scenarios, enabling agents to practice and hone their communication skills in a controlled environment. The platform utilizes voice-to-voice prompts to create a highly engaging training experience, making it an effective tool for companies aiming to improve their sales team's performance.

Think.Gift Multi AI-Agent

• Developed AI chat-based gift recommendation system using ChatGPT-4 and Langchain, implementing prompt engineering techniques for advanced natural language understanding. • Integrated Amazon API for real-time product information retrieval. • EImplemented backend with Flask and deployed in Docker containers for scalability. • Showcased proficiency in NLP, Python, and AI model application for practical solutions.

SMARTSORT AI

Dustbin with a brain: Automated waste sorting into recyclable, non-recyclable and organic waste using computer vision. Functionalities: ● Detection and Classification ● Edge AI ● IoT sensors to track bin capacity

LLM Marketplace

The LLM Marketplace Platform is the central location for accessing an elite collection of state-of-the-art and open-source Large Language Models (LLMs). It allows users to interact with a wide variety of LLMs so they can compare performance, features, and suitability for a task. It has a user-friendly interface, robust search and filter capabilities, detailed model descriptions, and performance metrics that enable the user to find and integrate the right LLMs within their project. Besides, it promotes interactions among a community of developers for knowledge exchange and the transfer of best

Education

  • National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2018-01-01

  • University of Leeds

    Master of Computer Science (MSCS) in Computer science

    2019-01-01-2020-01-01

Languages

  • English

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