Samuel Brhane A.

𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗔𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗮𝗻𝗱 𝗟𝗼𝘄 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Full stack AI engineer building AI pipelines, Python and Go backends, and React web apps for high performance and low latency. 𝗖𝗼𝗿𝗲 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝘁𝗼𝗼𝗹𝘀: ► 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 Production Python APIs with Django, FastAPI, and Flask. Modern async frameworks including Litestar, Starlette, and Sanic for selection and implementation. Supabase-backed architectures with Edge Functions and Postgres for rapid, scalable backends. ► 𝗚𝗼 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 High throughput Go microservices with Gin, Fiber, and gRPC. Low latency concurrent execution. ► 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗮𝗻𝗱 𝗖𝗿𝗼𝘀𝘀 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Modern web frontend with React and Next.js: SSR, SSG, API routes, real time UI via WebSockets and streaming, responsive design with Tailwind CSS and custom design systems. Cross platform mobile and web apps with React Native. ► 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Data collection, cleaning, analysis, and ETL pipelines for AI and machine learning. Model training, validation, and evaluation. LLM fine tuning, prompt engineering, RLHF, and context window management. AI assisted development using Claude, Cursor, and Copilot. ► 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Real time voice chat, computer vision, image generation, AI agents, multi agent workflows and orchestration. Production grade RAG and vector search with Pinecone, Weaviate, and Milvus. ► 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 PostgreSQL, Redis, Supabase, and MongoDB database optimization. Supabase schema design, Row Level Security (RLS), realtime subscriptions, and auth integration. Event driven and low latency architectures and system design built to scale. 📩 Click "𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯" or "𝗠𝗲𝘀𝘀𝗮𝗴𝗲" to discuss your architecture and infrastructure requirements.