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Muhammad Khizar H. - PostgreSQL Developer, React Native, nextjs

My name is Muhammad Khizar H. and I have over 7 years years of experience in the tech industry. I specialize in the following technologies: Flask, JavaScript, Redis, Docker, API Integration, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: RAG Chatbot Development, WhatsApp Dental Appointment Bot, Gemini AI Assistant (Text + Voice), OpenR&D, StyleSlots, etc.. I am based in Bahawalpur, Pakistan. I've successfully completed 18 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • PostgreSQL Developer

    7 years

  • Flask

    3 Years

  • JavaScript

    5 Years

  • Redis

    3 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

RAG Chatbot Development

Developed a Retrieval-Augmented Generation (RAG) chatbot using GPT-4 and Qdrant to provide accurate, context-aware answers from internal company documents. The system included document chunking, embedding generation, vector search, and memory-based follow-ups. Integrated with a custom UI and designed to reduce hallucinations by grounding all responses in verified data sources. Delivered a scalable solution tailored for client-specific knowledge workflows.

WhatsApp Dental Appointment Bot

This project implements a WhatsApp-based AI assistant for dental clinics, enabling patients to book appointments via text or voice messages. It leverages LangGraph for conversational flows, FastAPI for the backend, and integrates with Google Calendar for scheduling.

Gemini AI Assistant (Text + Voice)

A chatbot app that lets you have conversations using both text and voice. It uses the Gemini LIVE API from Google and is built with React, TypeScript, and Vite, with styling from TailwindCSS.

OpenR&D

Phase 1 of the OpenR&D platform involves building a public-facing web app with pages for Homepage, Search Results, INCI, Raw Materials, and Suppliers, plus an admin panel for managing attribute tables. The site will support thousands of entries and enforce uppercase-only naming conventions. Custom statuses, a midnight blue theme, and a legal disclaimer are required. Admins can manage hidden attachments. Later stages will expand functionality. INCI data import (~23,600 records) will be finalized upon confirmation.

StyleSlots

StyleSlots is an innovative web platform that connects professionals with clients seeking nearby services. Designed and developed as a full stack application, StyleSlots empowers users to both offer and discover a wide range of professional services in their local area. StyleSlots streamlines the process of finding and offering professional services locally, making it easier for users to connect and collaborate. The project demonstrates advanced skills in full stack development, cloud integration, and user-centric product design.

Education

  • Islamia University of Bahawalpur

    in BS Computer Science

    2016-01-01-2020-01-01

Languages

  • English

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