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Full-stack software engineer with hands-on experience building AI-driven, agentic applications end to end—React/TypeScript front ends, Python and Node.js backends, and microservices deployed on AWS and Kubernetes. Delivered production RAG pipelines, multi-agent orchestration platforms, and conversational assistants while working closely with ML engineers, architects, and product teams. Currently pursuing advanced study in Artificial Intelligence to deepen the theoretical foundations behind production-ready LLM systems, while continuing to design secure, scalable, user-facing AI products and automations.…Full-stack software engineer with hands-on experience building AI-driven, agentic applications end to end—React/TypeScript front ends, Python and Node.js backends, and microservices deployed on AWS and Kubernetes. Delivered production RAG pipelines, multi-agent orchestration platforms, and conversational assistants while working closely with ML engineers, architects, and product teams. Currently pursuing advanced study in Artificial Intelligence to deepen the theoretical foundations behind production-ready LLM systems, while continuing to design secure, scalable, user-facing AI products and automations.

Ali Hassan

Blockchain Developer, Web Developer, App Developer, +5

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Full-stack software engineer with hands-on experience building AI-driven, agentic applications end to end—React/TypeScript front ends, Python and Node.js backends, and microservices deployed on AWS and Kubernetes. Delivered production RAG pipelines, multi-agent orchestration platforms, and conversational assistants while working closely with ML engineers, architects, and product teams. Currently pursuing advanced study in Artificial Intelligence to deepen the theoretical foundations behind production-ready LLM systems, while continuing to design secure, scalable, user-facing AI products and automations.…Full-stack software engineer with hands-on experience building AI-driven, agentic applications end to end—React/TypeScript front ends, Python and Node.js backends, and microservices deployed on AWS and Kubernetes. Delivered production RAG pipelines, multi-agent orchestration platforms, and conversational assistants while working closely with ML engineers, architects, and product teams. Currently pursuing advanced study in Artificial Intelligence to deepen the theoretical foundations behind production-ready LLM systems, while continuing to design secure, scalable, user-facing AI products and automations.

Available to hire

Full-stack software engineer with hands-on experience building AI-driven, agentic applications end to end—React/TypeScript front ends, Python and Node.js backends, and microservices deployed on AWS and Kubernetes. Delivered production RAG pipelines, multi-agent orchestration platforms, and conversational assistants while working closely with ML engineers, architects, and product teams.

Currently pursuing advanced study in Artificial Intelligence to deepen the theoretical foundations behind production-ready LLM systems, while continuing to design secure, scalable, user-facing AI products and automations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Intermediate

Urdu

Fluent

Work Experience

Freelance AI & Full-Stack Engineer at Self-Employed (Fiverr)

January 1, 2024 - Present

Design and ship full-stack AI products for international clients, including conversational assistants, RAG systems, and agent-driven automation. Build responsive React/Next.js interfaces for AI workflows and dashboards, and develop Python and Node.js/TypeScript backend microservices for agent orchestration and tool integration. Deploy and scale services on AWS (EC2, S3, Lambda) with Docker and Kubernetes, supporting CI/CD and production monitoring. Build RAG pipelines using semantic retrieval, vector stores, reranking, and prompt engineering to improve retrieval precision and answer quality. Reduce latency via optimized retrieval, caching, and asynchronous inference, and decrease hallucinations using grounded, citation-based RAG approaches. Maintain LLM integrations with session memory and tool use, targeting high uptime and human-in-the-loop capability.

Full-Stack Developer at Softtik Technologies

February 1, 2022 - September 1, 2023

Developed full-stack AI applications integrating LLMs, RAG, and intelligent automation for client-facing platforms. Built scalable Node.js/TypeScript backends and React/Next.js interfaces for AI-driven products. Integrated NLP, conversational-agent, and semantic-search capabilities using AI APIs and open-source models, with an emphasis on performance and low-latency responses. Managed Git, Docker, and CI/CD workflows; applied prompt engineering, model evaluation, and system monitoring in production codebases.