Open to opportunities

Faraz Mahmud

@farazmahmud

Message

I build and evaluate RAG applications, hybrid search systems, and cloud-deployed LLM products.

India

Message

What I'm looking for

I'm looking to build real-world Generative AI and machine learning applications, especially LLM, RAG, semantic search, and AI evaluation systems, while growing my cloud deployment and applied AI engineering experience.

At Evalueserve, I develop Generative AI and RAG applications for the “Let’s Talk Supply Chain” chatbot, working across podcast, blog, and news data. I build modular LLM applications with Python, Google ADK, MCP, asynchronous programming, streaming responses, semantic search, and hybrid dense-and-sparse retrieval.

I also research and implement evaluation pipelines using RAGAS, DeepEval, Arize Phoenix, TruLens, and Opik to assess retrieval quality, relevance, faithfulness, and response performance. My work includes Docker-based GitLab CI/CD workflows, GCP deployments, and IAM roles and service-account permissions across cloud services.

Experience

Work history, roles, and key accomplishments

Current

Junior Analyst – Generative AI / Machine Learning

Current

Evalueserve

Dec 2025 - Present (8 months)

Developed Generative AI and RAG applications using Python, LLMs, NLP, embeddings, semantic search, and hybrid retrieval for the 'Let's Talk Supply Chain' chatbot. Implemented LLM/RAG evaluation using RAGAS, DeepEval, Arize Phoenix, TruLens, and Opik, and built Docker-based CI/CD workflows with GitLab and GCP.