Mohsin R.

I help startups and product teams build, improve, and maintain reliable backend systems, now with a strong focus on AI-powered products. My core stack is Go and Python, with deep hands-on experience integrating LLMs (OpenAI, Anthropic Claude, Gemini), designing RAG pipelines, and shipping AI-augmented backends. Over the past 9+ years, I have worked on backend platforms involving: - scalable API development (REST, gRPC, GraphQL) - microservice architecture and distributed systems - third-party integrations (Stripe, Checkout, Klarna, DHL, OpenAI, Anthropic) - event-driven systems and queues (GCP Pub/Sub, Kafka, RabbitMQ) - cloud deployment and production support (GCP, AWS, Docker, Kubernetes) - performance optimization and legacy modernization AI ENGINEERING & TOOLING This is where I differ from a typical backend engineer. I do not just call an LLM API; I understand how these models behave, fail, and need to be evaluated: - LLM integrations across OpenAI, Anthropic Claude, and Gemini: function calling, tool use, streaming, structured outputs, prompt orchestration, token and cost management, fallback chains - RAG pipelines: embeddings, chunking strategies, vector databases (Pinecone, Weaviate, pgvector), hybrid search, re-ranking - AI-augmented development workflows: daily user of Claude, GitHub Copilot, and Cursor IDE. I know how to set up rules, context engineering, and MCP (Model Context Protocol) servers to make these tools actually productive on real codebases - LLM evaluation and RLHF data work: contributor