Namit Jain

Hi Namit Jain here đź‘‹

22-year-old software developer from India

I like to develop full-stack with a hint of AI, drink instant coffee and get coding advice from my rubber ducky.

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  • F

    Freelancer

    • Delivered 10+ mobile and web applications using React Native and JavaScript, improving client app performance by 30%.
    • Implemented secure payment processing systems and real-time updates for enhanced user engagement.
  • S

    Saathi.app

    Full stack AI Dev

    • Worked as a full-stack developer at Saathi, where I optimized REST APIs using Node.js to reduce response times by 40%.
    • Designed and implemented data scraping pipelines to efficiently upload data into MySQL, managed AWS EBS hosting with CI/CD pipelines for seamless deployments, and integrated AWS S3 for efficient image handling and storage
    • Developed an AI-based travel assistant agent that curated itineraries based on user preferences overcoming output context limit and other challenges.
  • J

    Jivus AI

    GenAI Backend Dev

    • Developed conversational AI agents using Azure OpenAI and LangChain, improving customer service efficiency by 85%
    • Built REST APIs for AI model integration, reducing response time by 40%
    • Created analytics dashboard for monitoring agent performance and customer satisfaction.
  • S

    SalonGO

    Full stack Dev Intern

    • Engineered a robust data processing pipeline to efficiently handle 50K+ records, incorporating automated validation and transformation to reduce errors.
    • Developed optimized RESTful APIs using Node.js and Express, improving response times and enhancing system scalability
    • Designed and implemented a secure user authentication system with JWT tokens, strengthening data security and ensuring seamless user access.
  • S

    Solitaire Infosys

    ReactJs Trainee

    • Worked on making the website responsive and developed multiple reusable React components, thus making code more modular and maintainable.
  • S

    Suvidha Foundation

    Machine Learning Intern

    • Worked on developing a machine learning model to perform sentiment analysis of customer reviews, implemented and deployed the model using Flask, and integrated it with a web application for real-time sentiment analysis.

featured projects

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NutriNode AI

NutriNode AI

AI based dietician lets you manage your diet , scans food items to find nutritional value, give nutritional insights based on your health goals.

Apple Console
Express
Firebase
GenAI
OpenAI
React Native
Blue Chip International

Blue Chip International

Full stack platform with analytics and admin dashboard and payment integrations.

Docker
Flask
HTML/CSS/JS
Payment Gateway
Python
VPS

recent posts

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