Personal details

Shahbaz H. - Remote full-stack developer

Shahbaz H.

Senior Full Stack Engineer
Based in: 🇺🇸 United States
Timezone: Central Time (US & Canada) (UTC-5)

About

I’m a Senior Full Stack Engineer with 12+ years of experience building and scaling high-performance, production-grade web platforms. I specialize in TypeScript, React, Next.js, Angular, Vue.js, Node.js, and cloud-native infrastructure, with deep experience designing API-first systems and distributed backend services that operate reliably at scale.

Most recently, I’ve worked on high-traffic consumer platforms where performance, scalability, and system design directly impact business outcomes. I’ve led initiatives involving frontend architecture optimization, real-time backend services, and AI-powered features — including recommendation systems and LLM integrations — delivering measurable improvements in engagement, latency, and reliability.

I’m particularly interested in solving complex systems problems at the intersection of product and infrastructure: scalable APIs, ingestion pipelines, data modeling, caching strategies, observability, and production AI systems. I enjoy turning ambiguous ideas into clean technical designs and collaborating closely with product, design, and research teams to ship thoughtful, high-impact features.

Beyond engineering execution, I bring strong ownership, attention to detail, and a continuous learning mindset. I’m motivated by building tools and platforms that remove friction, empower users, and drive meaningful business growth.

Work Experience

Senior Full Stack Engineer
Groupon | May 2022 - Dec 2025
Python
Django
Node.js
PostgreSQL
TypeScript
Docker
React
JavaScript
Terraform
TensorFlow
Next.js
NestJS
OpenAI
Playwright
AWS

At Groupon, I worked as a Senior Full Stack Engineer building and scaling high-traffic consumer platforms using React, Next.js, TypeScript, and Node.js. I translated ambiguous product requirements into reliable, production-ready systems, partnering closely with product and design to deliver features that directly impacted user engagement and revenue.

I led performance and scalability improvements across the stack — reducing page load times by 30% and lowering bounce rates by 20% through rendering optimizations, code splitting, API improvements, and caching strategies. I designed and evolved REST and GraphQL APIs, optimized PostgreSQL and Redis-backed services, and improved system throughput for high-volume traffic environments.

Beyond feature delivery, I contributed to system reliability and cloud-native infrastructure on AWS (EKS, RDS, S3, CloudFront), participating in incident response, root cause analysis, and long-term stability improvements. I also worked on AI-powered personalization initiatives, integrating ML-driven recommendations to enhance user experience and business performance.

Full Stack Engineer
BeeTech | Jul 2016 - Apr 2022
HTML/CSS
PHP
Python
Java
Django
Node.js
MySQL
Git
MongoDB
Angular
PostgreSQL
Azure
Laravel
Jenkins
TypeScript
Docker
React
Spring Boot
JavaScript
Kubernetes
Blockchain
Terraform
Web3
CI/CD
OpenAI
Cypress
Tailwind css
Vue.js
Fastapi
Playwright
Express.js
AWS
Smart contract

At BeeTech, I worked as a Full Stack Developer delivering scalable applications for startup and enterprise clients in fast-paced, evolving environments. I built and maintained full-stack systems using Node.js, React, Angular, Vue.js, Python/Django, Golang, and Spring Boot, translating business requirements into reliable, production-ready solutions across multiple domains.

I improved frontend architecture by developing reusable TypeScript-based components and optimizing state management, reducing development time by 15% and improving page load performance by 30%. On the backend, I designed and integrated RESTful APIs, resolved data consistency and performance issues, and supported microservices architecture initiatives to improve scalability and fault isolation.

I also contributed to cloud-native infrastructure on AWS, deploying containerized services with Docker and Kubernetes, and automating provisioning with Terraform. Additionally, I developed Ethereum smart contracts and Web3 applications for production use cases. Working closely with clients and cross-functional teams, I helped deliver high-quality releases while continuously improving deployment reliability through CI/CD practices.

Projects

Groupon
Python
Django
Node.js
Git
PostgreSQL
Jenkins
TypeScript
Docker
React
JavaScript
Terraform
TensorFlow
Next.js
CI/CD
NestJS
OpenAI
AWS
I worked on Groupon’s core marketplace and personalization platform, which powers customer-facing experiences, user activity processing, and recommendation systems for millions of users globally. I contributed to building and enhancing systems that drive deal discovery, personalization, and engagement across web and mobile applications. I delivered end-to-end features across React frontends and Node.js and Java backend services, taking ownership from requirements through to production deployment. I built and scaled REST and GraphQL APIs to support high-traffic applications and enable efficient communication between frontend and backend systems. I designed event-driven workflows to process high-volume user activity and behavioral data, enabling real-time personalization and recommendation capabilities. I worked extensively with structured and semi-structured data using PostgreSQL JSONB, ensuring data consistency and flexibility across distributed services. I implemented caching and performance optimizations using Redis and API-level strategies to reduce latency and improve scalability. I integrated multiple internal and third-party services, applying strong validation, error handling, and resiliency patterns to ensure system reliability. I contributed to CI/CD pipelines, automated testing, and deployments on AWS, helping improve release efficiency and stability. I collaborated closely with product, design, and engineering teams in Agile environments, participated in code reviews, and mentored engineers to maintain high standards of code quality and delivery. I also developed strong experience working with structured data models, validation, and distributed data workflows, which are applicable to regulated domains requiring high data integrity and consistency.
Vahalla Vitality
Node.js
PostgreSQL
TypeScript
Docker
React
Next.js
CI/CD
Hipaa
AWS
Medusa js
I built a HIPAA-compliant healthcare-integrated e-commerce platform using Next.js and Node.js (Medusa), enabling end-to-end workflows from patient registration to prescription fulfillment. I designed and implemented integrations with external clinical systems, creating patient records and syncing data through secure API-based communication. This included handling patient onboarding, profile completion flows, and maintaining external patient references across systems. I developed event-driven workflows to trigger integrations (e.g., patient creation, intake readiness, order sync), ensuring reliable data consistency across distributed services using asynchronous processing, retries, and idempotent handling. I implemented secure request handling, including request signing, validation, and structured error handling to ensure compliance and reliability when communicating with clinical APIs. I designed data mapping and normalization layers to transform internal customer and order data into structured formats required by external healthcare systems. I worked with structured healthcare data such as patient records, intake data, prescriptions, and order-linked clinical workflows, ensuring proper handling of PHI aligned with HIPAA compliance. This resulted in fully automated patient onboarding and data synchronization, reduced manual operational work, improved system reliability across integrations, and enabled scalable clinical-commerce workflows across multiple tenants.

Education

Jawaharlal Nehru Technological University
Bachelor's degree・Information Technology
Apr 2008 - Jun 2012

Certifications & Awards

React.js Certification by Coursera
Node.js Certified Developer (JSNAD)