Mohsin K.

My specialization is where *AI engineering meets production software development*. I don't approach AI as a standalone API integration. I build the complete system around it: AI orchestration, retrieval, backend services, data pipelines, vector search, APIs, frontend experiences, authentication, databases, cloud infrastructure, testing, and production delivery. ⚡ GenAI & Agentic AI Engineering I design and build: * AI-native SaaS applications * RAG and knowledge retrieval systems * Agentic AI workflows * Multi-step AI automation * AI assistants and copilots * LLM-powered chat applications * Document Q&A and knowledge systems * Semantic and vector search * Tool/function-calling workflows * Structured LLM-powered application features * AI-enabled business process automation * AI integrations for existing SaaS products ⚡RAG, Agents & LLM Stack My AI engineering work includes modern technologies and patterns across: *LLMs:* OpenAI, Anthropic Claude, Google Gemini and modern LLM APIs *Agentic AI:* LangGraph, LangChain, agent orchestration, tool/function calling and multi-step workflows *RAG:* document ingestion, chunking, embeddings, retrieval pipelines, contextual retrieval, semantic search and knowledge-grounded generation *Vector Databases:* Pinecone, Weaviate, pgvector, Chroma and vector-search architectures *AI Application Engineering:* prompt engineering, structured outputs, context management, AI workflow integration and production LLM APIs I integrate these systems with conventional backend services, application data, external APIs and user-facing workflows so AI functionality becomes part of the actual product. ⚡ My full-stack experience includes: *Frontend:* TypeScript, React, Next.js, JavaScript, Redux, Tailwind CSS and Material UI *Backend:* Python, Node.js, NestJS, Express.js and scalable API architectures *APIs:* REST, GraphQL, WebSockets and serverless APIs *Databases:* PostgreSQL, MongoDB, MySQL, DynamoDB and Firebase This allows me to own an AI product from the user interface all the way through orchestration, APIs, data and infrastructure. ⚡AWS & Production Deployment AWS Lambda, API Gateway, EC2, S3, RDS, DynamoDB and related AWS services. I also work with Docker, GitHub Actions, Jenkins, Vercel and CI/CD workflows. Production monitoring experience includes CloudWatch, Sentry and New Relic. ⚡ SaaS & Product Engineering Beyond AI-specific development, I have extensive experience building: * SaaS products * Startup MVPs * Enterprise web applications * E-commerce and marketplaces * Fintech platforms * Healthcare applications * EdTech products * Booking platforms * Social and messaging applications * ERP and internal business systems * Real-time applications ⚡AI-First, Full-Stack Delivery A typical AI engagement can require considerably more than choosing an LLM. I can work across: *Product requirements → architecture → AI/LLM layer → retrieval/data → backend APIs → frontend → integrations → testing → cloud deployment → production optimization* That makes me particularly useful to founders and engineering teams that want one senior engineer capable of understanding both the *AI system and the software product surrounding it*. ⚡ Projects * GenAI SaaS products * Agentic AI applications * RAG / enterprise knowledge platforms * AI assistants and copilots * AI workflow automation * LLM integrations * AI-powered internal tools * AI-enabled marketplaces and SaaS * React / Next.js AI interfaces * Python / Node.js AI backends * Existing SaaS products adding AI capabilities ⚡ Why Clients Work With Me *AI + full-stack ownership* I can work across LLMs, application architecture, frontend, backend and cloud. *8+ years of engineering experience* AI engineering is backed by established software engineering fundamentals. *MVP to production* I can help move AI concepts beyond prototypes into maintainable applications. *International collaboration* Experience working with clients across the US, Canada, UK, Australia and Europe, with flexibility for US business-hour collaboration. If you're building an AI-native product, introducing Agentic AI into an existing platform, or need an experienced engineer to take an LLM/RAG concept toward production, send me your requirements. Mohsan Senior GenAI & Agentic AI Engineer RAG · LangGraph · LLMs · Python · TypeScript · React · Node.js · AWS