Muhammad Saeed Raza
Frontend DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Full Stack / Backend Software Engineer | E-Commerce | Fintech | AI | MEAN Stack, NodeJS, Golang, Python, Java, AWS, Angular, React, RESTful, GraphQL, OpenAI API @ APAC, EMEA, Freelance, Remote companies
Senior Software Engineer with 8+ years of experience designing and scaling event-driven systems across e-commerce and fintech platforms. I’ve built production-grade microservices handling 10M+ requests/day and helped companies like Fabric reach unicorn status through high-performance, reliable architectures. Passionate about clean code, distributed systems, and solving complex backend challenges with a pragmatic approach. Languages and Environments: JavaScript (8 years), TypeScript (8 years), NodeJs (8 years), Golang (5 years), Python (5 years), Java (4 years), GraphQL (3 years), Kotlin (1 year), C++ (1 year) Frameworks: Microservices, Serverless, ExpressJs, NestJS, Spring, Spring Boot, Django, DRF, Scrapy, Beego, Martini, Hapi, Swagger, Jasmine, Jest, Mocha, Testing(Golang), Chai, Cypress Frontend: Angular, React, NextJs, Redux, HTML, CSS Databases: PostgreSQL, MySQL, MSSQL, MongoDB, ElasticSearch, DynamoDB Tools and Techniques: Git, CI/CD, AWS, OpenAI API, Redis, Kafka, Datadog, Terraform, RabbitMQ, Docker, Shopify, Clickhouse, Stripe, Jira, Trello, Asana, Clickup, Jupyter Notebook, Confluence, Postman
University of the Punjab
Bachelor’s Degree, Information Technology
January 1, 2013 – January 1, 2017
Trafilea
Senior Software Engineer
July 1, 2024 – Present
United States · Remote
Fabric
Senior Software Engineer
June 1, 2021 – July 1, 2024
United States · Remote
Aion Digital
Software Engineer (Via Virtual Force Inc.)
February 1, 2020 – June 1, 2021
Dubai, United Arab Emirates · Remote
Engin Technologies
Software Engineer
September 1, 2017 – February 1, 2020
Lahore, Pakistan · On-site
fabric
June 1, 2021 – July 1, 2024
fabric is a composable next-gen commerce platform that helps brands and retailers manage products, orders, pricing, and fulfillment through modular, API-first services. It’s evolving toward agentic commerce, where intelligent systems dynamically adapt and act alongside humans. ● Worked with the backend team to create and optimize Microservices using NodeJs, Java, Python, Mongo and AWS; integration with the frontend team using ReactJs. ● Designed and developed RESTful APIs and Lambda functions along with unit tests using Jest, Mocha and Chai. ● Built dashboards and monitors for Microservices using Epsagon and Datadog to ensure performance.
Aion Rubix
February 1, 2020 – June 1, 2021
Next-Generation Digital Native Platform, built on a future-proof tech stack that enables creating digital-first & digital-only ecosystems & capabilities with real-time data exchange, end-to-end digital UX, at a lower cost. ● Designed and developed multiple Microservices using Angular, NodeJs, NestJs, Golang, Martini, AWS, Knex, PostgreSQL, RESTful, GraphQL. ● Spearheaded critical features like KYC compliance, customer onboarding, account opening, account transactions.
Cultural Fit Analysis
The candidate has worked on diverse projects (e-commerce, FinTech) and in various company settings (Trafilea, Fabric, Aion Digital, Engin Technologies), demonstrating adaptability. Their experience with both frontend and backend technologies, along with a focus on performance and scalability, aligns well with a dynamic, high-growth environment. The mention of contributing to a company achieving 'unicorn status' suggests a drive for impact and success.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in small teams, mentoring peers, and leading documentation efforts, suggesting strong collaboration and communication skills. Their involvement in critical features and system improvements indicates a proactive and problem-solving operational fit. The use of AI tools also points to an adaptive and efficiency-driven mindset.