Muhammad Asad Rahim

**Full Stack Developer & AI Engineer FastAPI/Flask AWS/GCP Docker/K8s CI/CD LLM/RAG Specialist**

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Professional Summary

Full Stack Python & AI Developer with 5+ years of experience building scalable backend systems and advanced AI solutions. Expert in Python, Flask, FastAPI, and cloud platforms (AWS, GCP). Skilled in database optimization, data pipelines, and API design. Focused on AI/ML orchestration with RAG architectures, LLM integration (LangChain, OpenAI, Claude), and MCP server design. Proven leader in system migrations, performance tuning, and deploying AI-driven solutions with Docker/Kubernetes.


Key Achievements

  • 40% API Performance Improvement through systematic optimization
  • Enterprise RAG Implementation improving LLM accuracy
  • Cloud Migration Leadership enhancing system reliability
  • Best Employee of the Year - LinkedMatrix (Feb 2023)

Work Experience

Full Stack Developer & AI Engineer

Freelance | September 2020 - Present (5+ years)

Focus: AI Engineering & LLM Systems

  • Built Vector RAG systems using dense retrieval (Pinecone) and hybrid search strategies to optimize context relevance for LLMs
  • Designed Graph RAG solutions leveraging knowledge graphs (Neo4j, AWS Neptune) to enhance LLM reasoning
  • Developed Multi-Model Communication Protocol (MCP) server to route queries between LLMs (GPT-4, Claude, LangChain)
  • Built custom tooling for prompt chaining, LLM benchmarking, and audit logging
  • Deployed containerized services (Docker/K8s) on AWS/GCP with autoscaling and monitoring (Grafana, Prometheus)

Back End Developer

Pivony (US-based, Remote) | December 2023 - August 2024 (9 months)

  • Led migration of entire API service to new design using Python and AWS DynamoDB
  • Developed data pipelines using AWS EC2, AWS Glue, and Pandas
  • Optimized Flask API endpoints with Postgres, improving performance and response times
  • Collaborated with cross-functional teams for seamless backend-frontend integration
  • Implemented best practices for code quality, version control, and deployment

Full Stack Developer & Team Lead

Linked Matrix International | May 2020 - December 2023 (3 years 8 months)

  • Implemented dynamic interfaces using Vue.js, React, and Next.js
  • Demonstrated expertise in database design with MySQL, PostgreSQL, MongoDB, and Snowflake
  • Applied cloud computing knowledge in AWS and GCP for scalable solutions
  • Utilized AWS services: EC2, S3, Lambda, RDS
  • K8s deployments with GitHub Actions, CI/CD, and Helm charts
  • Award: Best Employee of The Year (February 2023)

Associate Software Engineer

Orange Lynx IT | May 2019 - September 2020

  • Full stack development on social media app ‘Yakbun’
  • VueJs frontend + PHP Laravel backend
  • Kubernetes deployments with GitHub Actions CI/CD
  • Participated in entire software development lifecycle

Education

University of Engineering and Technology, Lahore Bachelor of Science in Computer Science September 2016 - September 2020 CGPA: 3.48/4.00


Technical Skills

AI/ML & LLM

RAG (Vector/Graph), LangChain, LLM Orchestration, Knowledge Graphs (Neo4j), Prompt Engineering, OpenAI, Claude, GPT-4, MCP Servers

Web Development

Backend: FastAPI, Flask, Django, FastMCP Frontend: React.js, Next.js, Vue.js Real-time: WebSockets, SSE

Databases

SQL: PostgreSQL, MySQL NoSQL: MongoDB, Redis, DynamoDB, Neo4j

Cloud Platforms

AWS: EC2, S3, Lambda, RDS, DynamoDB, Glue, Neptune GCP: Compute Engine, Cloud Functions, BigQuery

Data Engineering

Snowflake, Databricks, dbt, Fivetran, Pandas, AWS Glue, RAY

DevOps

CI/CD: GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, Ansible Containers: Docker, Kubernetes, Helm Charts, ArgoCD Monitoring: Grafana, Prometheus, Kafka, Celery


Certifications

Certification Provider Year
Develop Generative AI Applications: Get Started IBM 2025
Object-Oriented Design University of Alberta 2025
Advanced Prompt Engineering Coursera 2025

Volunteering

  • United Nations Volunteers - IT Education for developing countries
  • Tea Community - Open source contributor and mentor

Contact Information


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