About Skills Experience Projects Education Contact

๐Ÿ‘‹ Hello, I'm

Mohd Huzaifa

Full Stack Software Engineer crafting scalable web apps & AI-powered platforms

1.7+
Years Experience
100+
Users Served
40%
Perf. Improvement

Building the Future with Code

Results-driven Full Stack Software Engineer with 1.7+ years of experience building scalable web applications and AI-powered automation platforms.

I bring proven expertise in JavaScript/TypeScript, Node.js, React.js, and Python with demonstrated success delivering production systems serving 100+ users and achieving 40% performance improvements through database optimization and caching strategies.

Currently at Sofyrus Technologies, I work across the full stack โ€” from designing database schemas and RESTful APIs to building responsive React interfaces and integrating AI/LLM services into production workflows.

โšก

Full Stack Development

End-to-end development from database design to pixel-perfect frontends

๐Ÿค–

AI / LLM Integration

Building RAG pipelines, agents, and LLM-powered automation systems

๐Ÿš€

Performance Optimization

40% faster queries via schema design, caching, and indexing strategies

๐Ÿ›ก๏ธ

Security & Auth

Role-based access control, JWT/OAuth, API key management & PII detection

Skills & Technologies

The tools and technologies I use to bring products to life.

๐Ÿ’ป
Languages
JavaScript TypeScript Python C++ SQL HTML5 CSS3
๐ŸŽจ
Frontend
React.js React Native Redux Next.js Material UI Tailwind CSS
โš™๏ธ
Backend
Node.js Express.js NestJS Flask FastAPI RESTful APIs Microservices JWT / OAuth
๐Ÿ—„๏ธ
Databases
MongoDB PostgreSQL MySQL Firebase Redis Vector DBs
โ˜๏ธ
Cloud & DevOps
AWS (EC2, S3, Lambda) Docker CI/CD GitHub Actions
๐Ÿง 
AI / ML & Tools
LangChain LangGraph RAG LLM Integration Playwright MCP

Professional Experience

Where I've worked and what I've built.

Sofyrus Technologies

Software Engineer

Aug 2024 โ€“ Present Aligarh, UP

๐Ÿฅ Clinical Decision Support System (CDSS)

  • Developed a full-stack web application with Flask backend and React.js frontend serving 100+ medical professionals
  • Implemented secure RESTful API endpoints with proper error handling and validation mechanisms
  • Architected a NestJS-based authentication server with role-based access control (RBAC) supporting multiple user roles
  • Designed PostgreSQL database schemas with optimized queries reducing response time by 40%
  • Built responsive React.js components with Material UI ensuring cross-browser compatibility

๐Ÿค– Robonito โ€” No Code QA Automation Platform

  • Engineered an AI-powered browser automation module using Playwright & Google Gemini, enabling cross-browser testing through natural English language commands
  • Developed a code generation module that exports test cases as structured, reusable Playwright scripts
  • Implemented CSV & Excel file parsing to enable dynamic test data injection for test execution using NestJS

๐Ÿ“Š Agent Testing & Evaluation Module

  • Developed and published npm and PyPI packages for AI application testing and monitoring
  • Built a tracing system to capture and analyze execution flows in multi-agent applications
  • Implemented data pipeline to send trace analytics to central platform using REST APIs and message queues
  • Designed an LLM-as-a-Judge evaluation framework with a React.js dashboard for performance metrics and traces
  • Designed MongoDB schema for efficient storage and retrieval of execution traces

Featured Projects

A selection of projects I've designed and developed end-to-end.

Unified AI Platform

Enterprise-grade platform for building & managing AI applications. Features configurable RAG pipelines, a visual agent workflow builder, multi-LLM support (GPT-4o, Gemini, Claude), observability dashboards, and enterprise security.

Key Features
  • Configurable RAG pipelines with multiple data ingestion strategies
  • Visual agent workflow builder with real-time execution tracing
  • Multi-LLM provider integration with cost optimization
  • Enterprise security: RBAC, API key management, IP whitelisting, PII detection
  • Comprehensive observability dashboards & MLaaS backend
React.js Node.js Python LangChain MongoDB Docker AWS

Town Beat โ€” Hyperlocal Social Platform

A hyperlocal social networking platform connecting users by geographic proximity. Features city-centric feeds, community groups, polls, campaigns, and an admin dashboard โ€” optimized for thousands of concurrent users with sub-100 ms latency.

Key Features
  • City-centric personalized feed with local news & updates
  • Community groups, interactive polls & campaign management
  • Secure authentication with role-based access control
  • Admin dashboard for content moderation & user analytics
  • Real-time reporting & ad management capabilities
React.js Node.js Express.js MongoDB Firebase

Academic Background

๐ŸŽ“

Aligarh Muslim University

Bachelor of Technology in Computer Science

2020 โ€“ 2024  ยท  Aligarh, UP

Get In Touch

I'm always open to discussing new opportunities, collaborations, or ideas. Drop me a line!