Gyanendra Singh - Software Engineer

Gyanendra Singh

Software & ML Engineer

Connect with me:

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About

I'm a Full Stack Developer, DevOps, and ML Engineer passionate about building scalable, reliable, and maintainable web systems. My toolkit includes React.js, Next.js, Nest.js, Django, Docker, and PostgreSQL, with a strong foundation in backend architecture, system design, and machine learning — particularly in GenAI, transformer models and fine-tuning.


I currently work as a Full Stack Developer at Vizuara Pvt. Ltd., where I'm building an AI-powered Interview Platform that leverages computer vision and GenAI to generate real-time questions with audio-visual analysis capabilities.


I'm driven by a simple goal: to craft software that is performant, resilient, and genuinely impactful — whether it's a developer tool, an AI-powered platform, or a full-scale web ecosystem.

Skills

Programming Languages:

JavaPythonPHPJavaScript/TypeScriptGoSQL

Web & Backend Frameworks:

Next.jsNest.jsDjangoFastAPIExpress.jsSpring Boot

Frontend Libraries & UI:

React.jsTailwind CSSHTML5 CanvasVite

Databases & Storage:

PostgreSQLMySQLMongoDBRedis

DevOps & Cloud:

DockerDocker SwarmGitGitHub ActionsAWS (EC2, S3, IAM)

Machine Learning & Data:

NumPyPandasScikit-learnPyTorch

Other Technical Interests:

Distributed SystemsOS InternalsSystems DesignAPI Design

Experience

Full Stack Developer • Jan 2026 – Present

  • Building the end-to-end AI-powered Interview platform, leveraging computer vision and GenAI to generate real-time questions with audio-visual analysis capabilities
  • Architected and implementing platform using FastAPI for backend services and React.js for frontend interface
  • Working on real-time video processing pipelines using WebRTC and integrating advanced computer vision models for facial expression and emotion analysis
FastAPIReact.jsDockerPostgreSQLGenAIComputer Vision

Full Stack Developer Intern • Oct 2025 – Dec 2025

  • Migrated a EdTech WordPress platform to a modern React + Firebase web application to enhance performance, scalability, and maintainability
  • Integrated Firebase Firestore, Authentication, and Storage to build a secure and modular backend infrastructure
  • Implemented Razorpay & PayPal payment with secure webhook-based order verification
  • Built Pub/Sub–driven email automation, comment system, and comprehensive course/lesson analytics (engagement, completion rate, time spent)
  • Collaborated directly with founders to gather requirements, design new features, and implement industry best practices in code quality
React.jsFirebase (Firestore, Auth, Storage)RazorpayPub/SubTailwind CSSGit

Projects

Here are some of my personal projects and contributions:

Repo Demo

Pathashala (Major Project)

School Management Platform (Team size: 4)

Role: Full-Stack + DevOps

Nest.jsReact.jsPostgreSQLDockerKubernetes
Demo

NanoDraw

Drawing Application (Team size: 1)

Role: Developer + Product Engineer

TypeScriptViteHTML5 CanvasLocalStorageCSS3
Repo

Pixel

Role-Based Image Gallery (Microservice based)

Role: Full-Stack (Backend Focused)

Nest.jsReact.jsPostgreSQLDocker

Other Projects

Gyan-Search Engine

Repo

A simple search engine, and crawler, (first project)

PHPWeb ScrapingQueuesMySQL

AutoAgent

Repo Live

LLM Agent for conversation with tools support

PythonLLMReact.jsFastAPI

Shatranj

Repo Live

Chess game in browser, using HTML5 Canvas and React.js

JavaScriptGame LogicReact.js

Engineered for Learning

These are the projects I built just for learning and exploration

  • Vishwa: Building small ML Library (just for learning in free time)
  • fastgo: Go web framework (Express.js inspired) View Project
  • Redis Clone: Core features built in Go
  • Ryxo: PHP micro framework published on Packagist

Currently Learning

Exploring LLM internals, cloud infrastructure patterns, and system design principles. Currently building a transformer-based model from scratch to understand attention mechanisms.