Software Engineer at Universität Koblenz (AWS)

Engineered LLM-powered cloud-native applications on AWS using LLM-based features, improving inference efficiency by 38%. Built RAG pipelines with LangChain, FAISS, and pgvector, reducing hallucination rates by 47%. Developed AI agents for research automation using GPT-4 and Claude, reducing manual research time by 55%. Implemented vector embeddings and semantic search over research document repositories, improving search relevance by 52%. Built microservices with Python (FastAPI), PHP (Laravel), and Node.js, improving REST API throughput by 38%. Streamlined CI/CD pipelines for AI model deployment, reducing deployment time by 20%. Integrated DynamoDB, MongoDB, PostgreSQL, and AWS RDS for AI application data persistence. Used Cursor and GitHub Copilot for AI-assisted development and debugging. Implemented Robot Framework for automated regression testing of AI features.

Full Stack AI Engineer (Project-Based) at Universität Koblenz

Delivered scalable AI-powered cloud-native applications on AWS, integrating LLM-based features and enhancing serverless AI inference efficiency. Built RAG pipelines with LangChain and PGVector for contextual document retrieval, and led AI agents for research automation and intelligent summarization.

Freelance Software Engineer at Upwork (Remote)

Built AI agents and RAG pipelines using LangChain/LangGraph with GPT-4, Claude, and Gemini, improving retrieval accuracy by 43%. Developed backend services with Python (FastAPI, Django, Flask), PHP (Laravel, Symfony), Node.js, Java, and Go, achieving 35% efficiency gains. Created responsive frontends with React, Vue.js, Angular, and TypeScript and integrated AI-generated content and real-time insights. Engineered cloud-native AI microservices on AWS (ECS, Lambda, Bedrock, SageMaker, S3, API Gateway), improving inference availability by 46%. Implemented agentic workflows for research, meeting prep, proposal generation, and GTM automation using LangChain/LangGraph, reducing manual effort by 60%. Fine-tuned LLMs for finance, medical coding, and legal domains using OpenAI and Claude, improving task-specific accuracy by 28%. Automated CI/CD with GitHub Actions and Jenkins, reducing deployment time by 21%. Implemented test automation with Robot Framework, Selenium, PyTest, and Jest achieving

Freelance Full Stack Engineer (Self-employed) at Upwork | Freelance Platforms

Delivered enterprise-level full-stack AI applications for 20+ clients across Fintech, Healthcare, E-commerce, and SaaS sectors, including LLM-powered features and intelligent automation. Built AI agents and RAG pipelines using LangChain, Lang Graph, OpenAI GPT-4, Claude, and Gemini, improving information retrieval accuracy by 43% and reducing hallucination rate by 35%.

Freelance Full Stack Engineer at Upwork

Delivered enterprise-level full-stack AI applications for 20+ clients across Fintech, Healthcare, E-commerce, and SaaS sectors, including LLM-powered features and intelligent automation.

Software Engineer at Vero ke (Remote)

Delivered RESTful architectures with AI-powered features using PHP (Symfony) and Laravel, reducing downtime by 25%. Integrated LLM APIs (OpenAI, Anthropic) for document summarization and fraud detection. Built RAG pipelines with LangChain and Pinecone, improving information extraction by 52%. Optimized PostgreSQL and MySQL queries for AI featured data storage, improving performance by 28%. Used AI tools (Claude, ChatGPT) for code optimization and test generation. Automated testing with Robot Framework and Selenium for AI application validation.

Software Engineer (AI Integration) at Veroke

Delivered RESTful architectures for financial systems with integrated AI-powered features, reducing downtime by 25% and improving decision accuracy. Integrated OpenAI and Claude APIs for document summarization, fraud detection, and customer support automation.

Software Developer at Devsinc (Islamabad, Pakistan)

Built scalable SaaS applications with AI-powered features using PHP, Laravel, Node.js, and Python. Developed Python backend services for LLM integration and data preprocessing, reducing support tickets by 30%. Integrated MongoDB and PostgreSQL for high-volume AI featured data. Used GitHub Copilot for rapid prototyping and AI-assisted code generation.

Software Developer (AI-Focused) at DevSinc Islamabad

Built scalable SaaS applications with AI-powered features using microservices architecture (PHP, Laravel, Node.js, Python). Developed Python backends for LLM integration and data preprocessing; integrated MongoDB and PostgreSQL for AI-featured data; facilitated Agile ceremonies, increasing team productivity by 38%.