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Muhammad T. AI, Machine Learning and Generative AI Platforms

My name is Muhammad T. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Data Science, Machine Learning, SQL, Generative AI, Artificial Intelligence, etc.. I hold a degree in Bachelor of Applied Science (BASc), Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: AI-Powered Semantic Search for Internal Documentation (RAG), Fine-Tuning LLM for High-Accuracy E-commerce Product Categorization, Autonomous AI Agent for Financial News Analysis & Summarization, Prompt Engineering for Generating Brand-Consistent Marketing Copy, Collaborative Multi-Agent System for Complex Task Decomposition, etc.. I am based in Lahore, Pakistan. I've successfully completed 14 projects while developing at Softaims.

My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.

Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.

I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

Main technologies

  • AI, Machine Learning and Generative AI Platforms

    6 years

  • Data Science

    2 Years

  • Machine Learning

    4 Years

  • SQL

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Visionet Systems Inc

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Experience Highlights

AI-Powered Semantic Search for Internal Documentation (RAG)

A mid-sized tech company struggled with knowledge management. Employees couldn't quickly find specific information within thousands of internal documents (PDFs, Confluence pages, Word docs), leading t

Fine-Tuning LLM for High-Accuracy E-commerce Product Categorization

An online retailer needed to automatically categorize thousands of new products accurately based on their descriptions, but generic models struggled with niche product types and brand-specific termino

Autonomous AI Agent for Financial News Analysis & Summarization

A financial analyst needed to quickly understand the sentiment and key takeaways from numerous daily financial news articles related to specific stocks, a time-consuming manual process

Prompt Engineering for Generating Brand-Consistent Marketing Copy

A marketing team wanted to use LLMs (like Claude v3) to generate blog post ideas, social media captions, and email marketing snippets but struggled to get outputs that consistently matched their speci

Collaborative Multi-Agent System for Complex Task Decomposition

Planning a complex multi-city trip involves researching flights, accommodation, activities, local transport, visa requirements, and budget constraints – a task requiring coordination across different

Education

  • WorldQuant University

    Bachelor of Applied Science (BASc) in Data Science

    2019-01-01-2020-01-01

  • COMSATS Institute of Information Technology

    Bachelor of Computer Science (BCompSc) in

    2015-01-01-2019-01-01

Languages

  • English (Native or Bilingual)