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Rizwan M. AI, Web3 and Full-Stack Platforms

My name is Rizwan M. and I have over 13 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Artificial Intelligence, Deep Neural Network, Blockchain, Spring Boot, etc.. I hold a degree in Masters, Bachelors. Some of the notable projects I've worked on include: AI Agent with chatbot, Text-to-Speech Synthesis with XTTS-v2, Voice Cloning, Semantic Wine Search Engine Using spaCy, Recommendation System, AI Document Chatbot, etc.. I am based in Kowloon, Hong Kong. I've successfully completed 12 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Web3 and Full-Stack Platforms

    13 years

  • Full-Stack Development

    11 Years

  • Artificial Intelligence

    9 Years

  • Deep Neural Network

    11 Years

Additional skills

  • Full-Stack Development
  • Artificial Intelligence
  • Deep Neural Network
  • Blockchain
  • Spring Boot
  • Solana
  • Rust
  • LLM Prompt Engineering
  • Next.js
  • ERC-20
  • Node.js
  • MERN Stack
  • Java
  • Web3

Direct hire

Potentially possible

Previous Company

Expertime Open Hong Kong

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Experience Highlights

AI Agent with chatbot

The AI agent using Agno AI leverages Retrieval-Augmented Generation (RAG) to pull relevant context from a vector database (ChromaDB) and generate accurate, context-aware responses. PDF content is pars

Text-to-Speech Synthesis with XTTS-v2, Voice Cloning

Text-to-Speech Synthesis with XTTS-v2, Voice Cloning

Semantic Wine Search Engine Using spaCy

Semantic Wine Search Engine Using spaCy

Recommendation System

This model recommends products to visitors based on their last choices, their like/dislikes and their history

AI Document Chatbot

It is an AI chatbot for your documents. You can upload pdf, doc, and ppt file, and create reports and chat, summarise and from one or multi documents

Education

  • University of East London

    Masters in Computer science

    2009-02-10-2010-04-10

  • University of the Punjab

    Bachelors in Computer science

    2002-05-10-2006-09-10

Languages

  • English (Fluent)✓