React.js Skills

Triplebyte Certified

Architecture & Core Platform: I developed a scalable B2B/B2C contractor marketplace utilizing a microservices architecture, building robust REST APIs and managing deployment orchestration via Docker and Kubernetes on AWS.
AI Search Integration: To optimize the matching process, I architected a semantic search engine using PostgreSQL (pgvector) and vector embeddings, accurately pairing user intent with specific contractor specialties.
LLM Pipeline: I built an LLM-powered RFQ (Request for Quote) data extraction tool using Python and LangChain, which automated manual data entry and significantly streamlined project bidding.
Tech Stack: Node.js, Next.js, React.js, Python, LangChain, PostgreSQL (pgvector), MongoDB, AWS, Docker, Kubernetes, Jenkins, Redis.

Senior Machine Learning Engineer | Principal Systems Architect | Agentic AI & LLM Workflows

Project: School Management System
Technologies: React.js, Redux, Node.js, Express.js, MongoDB, Axios, Socket.io, TypeScript, Materialize CSS, HTML, AWS.
Back-End Development: Designed RESTful APIs with Node.js/Express.js, implemented microservices architecture.
Front-End Development: Built reusable React components, created a UX library (Button, Checkbox, Dropdowns), developed admin panels with JWT authentication, and integrated the public site with a CMS and back-end modules.

Senior Full Stack Developer

AI Healthcare – Custom Reasoning & Monitoring (https://kamalsoft.com)
End-to-End MLE Pipelines: Architected production-grade Python environments for training and fine-tuning custom clinical reasoning models, transitioning workflows from experimental notebooks to modular, version-controlled scripts.
RLHF & Evaluation: Built custom reward-shaping environments to align model outputs with clinical triage protocols, reducing hallucination rates in symptom analysis.
Inference Optimization: Integrated vLLM and SGLang to optimize throughput and minimize prefill latency for long-context medical data processing.
Safety Monitoring System (https://kamalsoft.com)
Computer Vision Training: Managed the full lifecycle of training models for real-time object and activity detection, including custom dataset curation and hyperparameter optimization.
Hardware Optimization: Optimized model inference kernels to run on specific edge hardware, ensuring low-latency execution and high reliability.
Production Re

Senior Machine Learning Engineer | Ai System Architect | Agentic AI & LLM Workflows

Project: Home Automation
Technologies:  JavaScript, Node.js, Nest Js, GRPC, MQTT, GraphQl, CQRS, Postgres, MongoDB, Docker. AWS.

Principal Software Engineer

Led the re-architecture of both the backend and frontend systems to improve performance, scalability, and maintainability for a financial rewards platform.
Refactored and optimized core features, reducing technical debt and ensuring smoother integration with third-party services.
Back-end Development (Express.js, MicroServices, Mongodb)
Front-end Development (React.js, React Hooks, Styled-Components, Atomic design pattern)

Full Stack Engineer

Multi-Vendor E-Commerce Solution
Role: I developed a multi-vendor e-commerce platform with integrations for multiple sales channels, fulfillment providers, and payment gateways (Stripe, PayPal, Google Pay, Apple Pay). I architected a production-grade RAG pipeline to power an intelligent, context-aware customer support assistant and orchestrated an LLM-based product categorization engine to automate vendor onboarding.
Tech Stack: MedusaJS, Express.js, Next.js, React.js, Python, FastAPI, LangChain, PostgreSQL (pgvector), AWS, Redis, Event-Bus, CI/CD, Nginx.
Deployment: AWS, Redis, Event-Bus, CI/CD, Nginx Reverse Proxy.
One-Click E-Commerce Store Creator
Role: I built a platform to generate multiple stores with unique domains, offering features like multi-currency, multi-language, inventory management, CRM, and various payment methods (Stripe, PayPal). I engineered an Agentic AI workflow using structured LLM outputs to automatically generate customized store themes, multilingual product d

Senior AI Systems Architect | Agentic AI & RAG Orchestration

Project: Grant Information Management System
Back-end Development (Java, Spring Boot, MicroServices, MySql)
Front-end Development (React.js, React Hooks, Styled-Components, Material UI)

Full-stack Developer (Front-End Team Lead)

HRMS, CRM, Warehouse Management System.
Backend development using PHP, Python, Java, Express.js, Microservices, MongoDB, MySQL, and PostgreSQL.
Front-end development with HTML, Ajax, jQuery, Angular.js, React.js, and Redux.

Survey Application:
Back-end Development (.net, C#, MsSql)
Sharjah Sports Council Portal:
Back-end Development (Php, Mysql)

Back End Developer

Back-end Development (Php)
Front-end Development (Html, Javascript (Video Player Development), Angular.js, Backbone.js, Ajax)

Dubai Media City

AI Engineer, AI Systems Architect, Specialized in Agentic AI & Multi-Agent Systems Architect, Researcher.

github

Know about Hasan Chaudhry's work experience, education, bootcamps, certifications, and much more. Hasan Chaudhry