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Muhammad Adil

@muhammadadil9

Senior Full Stack Engineer building Python services and FastAPI applications, including agentic workflows that cut failed executions by 30%.

Pakistan

Message

As a Senior Full Stack Engineer, I design and own Python backend services and FastAPI applications for high-volume workloads. In my current contractor role, I improved API response times by 35% and processed over 1 million records daily through distributed pipelines.

I built resilient agentic workflow orchestration with LangChain, including parallel execution, retries, failure recovery, and resumable tasks. This reduced failed workflow executions by 30%.

At Coursebox AI, I developed backend APIs and asynchronous processing with FastAPI, Celery, and RabbitMQ. I also integrated AI-powered workflows and retrieval-based processing, reducing manual data handling by 40%.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Engineer

Current

Contractor

Jan 2025 - Present (1 year 9 months)

Designed and owned Python backend services and FastAPI applications supporting high-volume workloads, improving API response times by 35% through asynchronous processing and query optimization. Built resilient agentic workflow orchestration with LangChain, reducing failed workflow executions by 30%.

Python fastAPI AWS Terraform Docker Lang Chain PostgreSQL Redis Cloudwatch Distributed Systems Asynchronous Processing Workflow Orchestration

Senior Software Engineer

Coursebox AI

Jan 2023 - Jan 2025 (2 years)

Developed scalable backend APIs using Python, FastAPI, and PostgreSQL, reducing average request latency by 25% through improved data modeling and indexing. Implemented asynchronous task processing with Celery and RabbitMQ, increasing background job throughput by 35%.

Python fastAPI PostgreSQL Celery RabbitMQ Docker CI CD Pytest MongoDB Redis LLM RAG

Full Stack Engineer

TechTerrian

Jan 2021 - Jan 2023 (2 years)

Reduced API response times by 35% by optimizing Python and Node.js microservices, database queries, caching, and service communication. Improved real-time dashboard performance by 40% through PostgreSQL and MongoDB query optimization and indexing.

Python NodeJS PostgreSQL MongoDB Docker GitHub Actions CI CD Microservices

Software Engineer

Devsinc

Jan 2019 - Jan 2021 (2 years)

Increased application responsiveness by 30% by developing React interfaces and integrating backend REST APIs for real-time data workflows. Automated internal data-processing tasks by 30% using Python scripting and API integrations.

React Python REST APIs SQL NoSQL scikit learn CI CD Cloud Computing