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🏅 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 | ⭐ 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | 🕒 𝟭𝟱𝟬𝟬+ 𝗛𝗼𝘂𝗿𝘀 𝗪𝗼𝗿𝗸𝗲𝗱 | ⚙️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 I build the systems that don't get to go down. Right now that means core payment infrastructure at a fintech company processing 200,000+ requests a day. On Upwork, it's meant shipping backend and full-stack work that clients trust enough to keep me at 100% job success. 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲: I'm a backend-leaning full-stack engineer who works in Go, Python, and TypeScript, and I care more about whether your system survives real traffic than whether the demo looks nice. 🏆 Core contributor to a Go-based microservices payment gateway in production right now 🏆 Built fund-splitting logic that moves real money across subaccounts, accurately, every time 🏆 Shipped a JWT-authenticated wallet backend with ACID-compliant transfers and race-condition-proof transactions 🏆 Built a full-stack semantic search app end to end: ingestion, embeddings, retrieval, and a working QA layer on top I'm comfortable using modern AI-assisted tools to move faster, but I still read every line before it ships. Nothing goes to production until I understand exactly what it does and why. ❖ Go (Gin, GORM), Python (Flask), TypeScript (Next.js, React) ❖ PostgreSQL, MongoDB, MySQL ❖ Docker, Docker Compose, API integrations, database design 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲: I don't take on more clients than I can actually give real attention to. If I'm on your project, I'm thinking about it, not just clocking hours on it. ✅ Clear, responsive communication, no chasing me for updates ✅ I debug independently and tell you what's actually wrong, not just what's convenient ✅ I write code for the version of your product that has 10x the users, not just the demo ✅ Direct, no-fluff updates on progress and blockers If you need backend systems that hold up under real load, or a full-stack build done properly the first time, let's talk about what you're building.

Great products are built on reliable backend systems. I help startups and businesses design, build, and scale backend applications that are secure, maintainable, and production-ready. Whether it's architecting a new platform from scratch, modernizing an existing system, or building high-performance APIs, I focus on creating software that performs reliably as products grow. Over the past several years, I've worked on SaaS platforms, AI-powered products, and enterprise applications, designing backend architectures, cloud infrastructure, databases, and distributed systems that support thousands of users and complex business workflows. Backend Development Backend engineering is my primary area of expertise. I build scalable services with a strong emphasis on clean architecture, maintainability, security, and performance. Technologies Node.js: NestJS, Express.js, Fastify Python: FastAPI, Django, Flask Java: Spring Boot Rust: Actix Web, Axum Backend Expertise REST APIs GraphQL APIs Microservices Architecture Authentication & Authorization (JWT, OAuth, RBAC) Background Workers & Job Queues Event-Driven Systems WebSockets & Real-Time Applications Payment Gateway Integrations Third-Party API Integrations File Processing Pipelines Email & Notification Systems High-Performance Backend Services API Design & Versioning Caching Strategies Rate Limiting Distributed Systems Databases & Data Engineering Building scalable applications starts with designing data correctly. PostgreSQL MySQL MariaDB MongoDB Redis Firebase / Firestore Database Design Query Optimization Indexing Transactions Database Migration Data Modeling Cloud & DevOps I build systems that are easy to deploy, monitor, and scale. Cloud Platforms AWS (EC2, ECS, Lambda, API Gateway, S3, RDS, CloudWatch, IAM) Google Cloud Platform Microsoft Azure DevOps Docker Nginx GitHub Actions CI/CD Pipelines Linux Server Administration Performance Monitoring Logging & Observability Environment Management Production Deployments Software Engineering Practices I believe maintainable software is just as important as working software. Clean Architecture SOLID Principles Domain-Driven Design (DDD) Test-Driven Development (TDD) Design Patterns Code Reviews Performance Optimization Secure Backend Development Scalable System Design AI Engineering While backend development is my core specialization, I also build AI-powered systems when products require intelligent automation or conversational capabilities. AI Expertise AI Agents Multi-Agent Systems Retrieval-Augmented Generation (RAG) LLM Integrations AI Workflow Automation AI Chat Applications Voice AI AI Technologies LangChain LangGraph LlamaIndex OpenAI Claude Mistral DeepSeek Pinecone ChromaDB FAISS Supabase Vector Whisper ElevenLabs LiveKit Vapi Frontend When projects require full-stack ownership, I also build modern web applications using: React Next.js TypeScript Tailwind CSS ShadCN UI Material UI Redux Zustand Programming Languages TypeScript / JavaScript Python Java Dart Working knowledge of Rust, Kotlin, Swift, and C. Why Clients Work With Me ✔ Strong expertise in backend architecture and scalable API development. ✔ Experience building cloud-native applications on AWS, GCP, and Azure. ✔ Focus on clean, maintainable code that supports long-term product growth. ✔ Practical experience integrating AI into production systems without compromising reliability. ✔ Clear communication, strong ownership, and a commitment to delivering production-ready software. If you're looking for a backend engineer who can design scalable systems, build reliable APIs, optimize cloud infrastructure, and integrate modern AI capabilities when needed, I'd be happy to help.

Senior Python & AI Engineer specializing in FastAPI, Django, Flask, React, and production AI systems. I build scalable backend platforms, cloud-native APIs, and intelligent applications powered by machine learning and large language models. Over the past 5+ years, I've worked across startups and product companies, delivering production software ranging from high-performance backend services to AI-powered SaaS platforms. My experience spans Python, FastAPI, Django, Flask, React, PostgreSQL, Redis, Kafka, Docker, Kubernetes, AWS, GCP, and modern CI/CD pipelines. Beyond application development, I have hands-on experience training transformer models from scratch, building RAG systems, integrating LLMs into production products, and deploying machine learning workloads. I've contributed to products in manufacturing, supply-chain management, e-commerce analytics, conversational AI, CAD automation, and enterprise SaaS. Whether working independently or as part of an engineering team, I focus on writing maintainable, scalable software that solves real business problems. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Python (FastAPI, Django, Flask) • AI/ML, LLMs, RAG, NLP, PyTorch & TensorFlow • REST APIs, microservices & distributed systems • PostgreSQL, MongoDB, Redis, RabbitMQ & Kafka • React, Next.js & TypeScript • Docker, Kubernetes, AWS, GCP & CI/CD • Production AI integrations and cloud deployment 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 ✔ High-performance backend systems ✔ AI-powered web applications and automation ✔ Cloud-native architectures and microservices ✔ Secure, well-tested, maintainable code ✔ End-to-end product development—from MVP to production 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping

I build AI systems that don’t just work, they perform, scale, and deliver actionable insights. I specialize in architecting production-ready large language models with ultra-low latency and precision-driven outputs. From retrieval pipelines to inference optimization, I turn complex AI into reliable, real-world solutions. I design advanced Retrieval-Augmented Generation (RAG) architectures that combine Qdrant vector stores, function calling, metadata-aware re-ranking, and multi-step agentic workflows. I construct knowledge bases from structured and unstructured data, carefully optimizing chunking, ingestion, and evaluation to minimize hallucinations and maximize answer quality. I deploy and optimize models such as Gemma3, Qwen, LLaMA, and Mistral using vLLM for high-throughput, low-latency inference. My expertise includes batching, KV-cache tuning, async streaming, GPU memory control, and CUDA-level performance tuning, enabling robust token-by-token streaming pipelines for text and voice AI applications. I build backend AI services with Python, FastAPI, or Flask, seamlessly integrated with vector databases and external APIs. I troubleshoot slow inference, retrieval inaccuracies, hallucinations, and scaling issues, transforming underperforming systems into stable production platforms. Recent projects include integrating Gemma3 with Qdrant for high-accuracy multi-step RAG, creating function-calling pipelines where LLMs autonomously query tools and generate HTML-ready outputs, and developing bilingual Amharic-English AI assistants. I also optimize local and offline LLM deployments for predictable production-grade performance. If you need an AI engineer who handles everything from model behavior to retrieval pipelines to inference serving, I can help you turn AI prototypes into reliable production systems that scale and deliver.

I build complete AI-enabled web products: Vue or Angular interfaces, Python/FastAPI backends, RAG pipelines, databases, and cloud deployment. If your product crosses frontend, backend, and AI, I can own the connections between them instead of passing work between three developers. Top Rated on Upwork | 100% Job Success | $30K+ earned | 3,596 hours delivered A few examples of my work: • Built and deployed a RAG-based learning platform with document ingestion, embeddings, retrieval, configurable prompts, automated tests, and AWS deployment. • Built AI character systems for live audiences using LLMs, LangChain, FAISS, document reranking, provider switching, and text-to-speech. • Developed Vue/Vuetify and Angular frontends for learning, operations, and AI products, including an offline-first application for unreliable network conditions. • Built Python and C#/.NET APIs, automation workflows, database integrations, trading systems, and blockchain-based transaction flows. • Reduced an API workflow from about 30 seconds to under 300 milliseconds and worked on a platform load-tested for 10,000 concurrent users. I’m usually brought in for one of four situations: • You need an AI feature added to an existing web product. • You need a RAG or agent system that is tested, evaluated, and ready for production. • Your Python backend is slow, unreliable, or difficult to maintain. • You want one engineer to take a feature from the UI through the API, database, testing, and deployment. I work primarily with Python, FastAPI, Django, C#/.NET, Vue.js, Vuetify, Angular, TypeScript, PostgreSQL, Redis, Docker, AWS, GCP, LangChain, FAISS, and Qdrant. I communicate clearly, ask questions before making expensive assumptions, and keep changes easy for another engineer to understand. Send me the problem, your current stack, and what “done” should look like. I’ll tell you where I can help and where I can’t.

🎓 Education: Bachelor of Science in Software Engineering I have over four years of experience in ReactJS, VueJS, Next.js, Nuxtjs for frontend, and NodeJS, ExpressJS, FastAPI and Flask for backend development. I'm skilled in TypeScript, JavaScript, and Python, with a focus on writing clean, maintainable code. With experience in industries like e-commerce, healthcare, digital marketing and real estate, I can handle projects of any size, whether working independently or in a team. If you need a reliable developer to bring your ideas to life, let's make it happen!