07/20/2026 updated

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Senior Backend Engineer | Python, FastAPI, Distributed Systems, AWS & LLM Applications

Karachi, Pakistan
Only remote
Inter Commerce
Karachi, Pakistan
Only remote
Inter Commerce

Profile attachments

Raphael_Qureshi_Senior_Backend_Engineer_CV.pdf

About me

Senior Backend Engineer | Python • FastAPI • Distributed Systems • AWS • AI/LLMs | 6+ years of experience building backend systems, APIs, integrations & automation platforms for startups and businesses across the US and Europe.

Application Programming Interfaces (APIs)Software as a ServiceCloud EngineeringDevOpsDjangoPython (Programming Language)Messaging Application Programming InterfaceReverse EngineeringFlaskBackendFastAPIBackend ProgrammingCeleryApi DesignApi GatewayJenkins
Python Backend Development
Expertise in building production-grade backend systems using Python, FastAPI, Django, Django REST Framework, Flask, AsyncIO, and Celery. Delivery of 62+ client projects including SaaS products, automation tools, and data-intensive applications.

Cloud Architecture & AWS
Extensive experience deploying and operating backend services on AWS using Lambda, ECS, API Gateway, RDS, S3, SQS, SNS, Step Functions, and IAM. Automation of infrastructure deployments with AWS SAM and CloudFormation.

Distributed Systems & Microservices
Design and implementation of distributed, event-driven, and microservice architectures. Building of concurrent backend services using AsyncIO and Celery, and development of stateful multi-step workflows with retry and fault-tolerance logic.

API Design & Integration
Design of REST APIs, GraphQL, WebSockets, gRPC, and Webhooks. Reverse engineering of undocumented APIs through network traffic analysis to build reliable third-party integrations with authentication, retries, and rate limiting.

Database Engineering
Proficiency with PostgreSQL, MySQL, MongoDB, and DynamoDB. Schema design, data modeling, query optimization, indexing, and transaction management for production systems.

DevOps & CI/CD
Setup and management of CI/CD pipelines using GitHub Actions, GitLab CI, and Jenkins. Containerization with Docker and basic Kubernetes usage, along with Nginx configuration and infrastructure-as-code with AWS SAM and CloudFormation.

AI Engineering & LLM Integration
Integration of OpenAI API and Claude API for LLM pipelines, function calling, structured outputs, and embeddings. Building of autonomous AI agents and automation workflows powered by large language models.

Security & Authentication
Implementation of authentication and authorization systems using OAuth2, JWT, and OWASP best practices. Management of application secrets with AWS Secrets Manager and IAM-based access controls, including rate limiting.

Testing & Observability
Writing of unit and integration tests with Pytest. Setup of monitoring, logging, and alerting using Sentry and CloudWatch. Root cause analysis and performance optimization for production backend services.

Automation & Web Scraping
Building of browser automation and web scraping solutions using Selenium, Playwright, and Scrapy. Implementation of proxy rotation, session management, and distributed crawling pipelines for large-scale data extraction.

Languages

EnglishFluent

Project history

Senior Backend Engineer (Freelance)

Remote - Global Clients (Upwork)
Delivered backend systems for SaaS products, internal platforms, automation tools, and data-intensive applications across multiple industries. Responsibilities included API integration and reverse engineering, backend engineering with FastAPI and Django on AWS, cloud architecture and operations, and mentoring junior developers through code reviews.

Developer - Resource-Network-Optimization-Solver

Open Source / Personal Project
Built a Python optimization engine for resource planning and automated decision making. Designed planning algorithms using inventory management, dependency resolution, and turn-based state tracking. Built a CLI workflow for task retrieval, local simulation, visualization, and automated solution execution.

Developer - Reverse-Engineered API Integration System

Client Project (NDA)
Backend integration and data extraction system for a protected web application. Reverse-engineered internal APIs by analyzing network traffic, authentication flows, and application behavior. Automated authentication and session management to access protected application data.

Developer - Distributed Web Crawler

Client Project (NDA)
Built a distributed web crawling system for large-scale content extraction using Scrapy, Playwright, and Celery. Added retries, rate limiting, and fault tolerance to improve crawler reliability. Stored extracted data in PostgreSQL for further processing.

Developer - Real-Time Execution Engine (Live Bet Placement)

Betclic (Client Project)
Built a production Python system for low-latency, high-concurrency API execution integrating Betclic APIs for authentication, odds retrieval, and live bet placement. Designed a multi-process architecture using parallel workers to reduce live bet placement latency.

Developer - Fuel Planning & Route Optimization API

Open Source / Personal Project
FastAPI backend for route optimization and fuel cost estimation. Reduced API latency by 35-50% by running external geocoding requests concurrently. Persisted resolved locations in PostgreSQL for reuse across future route requests.

Developer - Autonomous AI Agent for YouTube Comment Engagement

Open Source / Personal Project
LLM-powered automation agent for YouTube comment analysis, response generation, and publishing. Integrated the OpenAI API to analyze comment context and generate personalized replies. Automated comment retrieval, AI response generation, and publishing across multiple YouTube channels.

Backend Engineer

ABL Tech Solutions
Built backend services and REST APIs using FastAPI, Django, and PostgreSQL for internal platforms. Integrated third-party REST APIs to automate internal business workflows and improved database performance through schema design, indexing, and query tuning.

Python Developer

ABL Tech Solutions
Contributed to Python backend services and REST APIs for internal platforms. Assisted with PostgreSQL schema updates, indexing, and query performance tuning.

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