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Software Engineer focused on AI / ML and data engineering. I build and ship production-grade systems end to end, from ingesting messy real-world data, through model training and RAG, to deployment with monitoring and continuous learning. My work spans fraud detection, multi-client analytics platforms, retrieval-augmented generation, and modern data warehousing on cloud and open-source stacks. Expertise • ML and AI: model development and deployment, continuous training (MLflow, Celery), retrieval-augmented generation, agentic AI architectures. • Data engineering: Apache Airflow with Cosmos, dbt, Snowflake, PostgreSQL, BigQuery, MinIO, Azure Blob Storage • Backend and APIs: FastAPI, Flask, NodeJs, Docker, REST API design • LLMs and search: LangChain, ChromaDB, vector databases, Model Context Protocol (MCP), Gemini, Claude • Cloud and storage: AWS, GCP, Azure • Languages and core tooling: Python, SQL, Java, TypeScript, Pandas, NumPy, Scikit-learn, TensorFlow Selected Projects • Multi-client retail analytics platform (WickedAnalytics): Designed and maintained the data-engineering backbone of a Walmart-focused supplier analytics product running across 11 client deployments. Built daily Airflow ingestion pipelines for vendor xlsx feeds using LibreOffice-based file repair, pandas-driven CSV conversion, Azure Blob staging, and templated Snowflake COPY INTO loads. Authored and refactored dbt models across raw, stage, cur, and con layers, including incremental merge with natural-key deduplication and item-level grain fixes for vendors with one-to-many product relationships. Built the Snowflake-based ML forecast pipeline producing weekly per-client demand forecasts delivered into shared Box folders for downstream planners. Replaced the legacy manual Excel-driven planning workflow with an automated data layer feeding an internal demand-planner web tool. • Project Chimera (Autonomous AI Influencer Network): Built an agentic AI system in Java 21 around a Manager / Worker / Judge pattern with Gemini as the LLM. The system fetches trending topics, generates content matching a configurable persona, runs each draft through an LLM evaluator that can return REVISE feedback in a multi-turn loop, and publishes approved posts to a real social network (Bluesky). Includes event-sourced memory in PostgreSQL, swappable LLM providers, and a custom Model Context Protocol (MCP) client wired in for external tools and filesystem integration. • Merchant credit scoring API: Built a production FastAPI service for real-time credit scoring with continuous learning via MLflow and Celery, improving lending decision confidence by around 40%. • RAG-based internal analytics: Built retrieval-augmented generation pipelines over internal documents and operational data using LangChain and ChromaDB, supporting reliable analytics and decision-support workflows for non-technical users. • Traffic Data Warehouse: Architected an end-to-end ELT pipeline using Airflow with Cosmos, dbt, PostgreSQL, and MinIO. Ingested half a million vehicle trajectories from drone telemetry into a star-schema warehouse, with Metabase dashboards and dbt-expectations testing for data quality. Certifications and Education • Data Engineering and Machine Learning Certification, 10 Academy (2024) • Software Engineering Certification, ALX / Holberton School (2023) • BSc in Electrical and Computer Engineering, Addis Ababa Science & Technology University • AWS Certified Cloud Practitioner, Amazon • Microsoft Certified: Azure Fundamentals, Microsoft (March 2024) I work full-cycle: data ingestion, transformation, modeling, deployment, and the operational side that keeps systems running in production. If you are looking for someone who can take a data, ML, or agentic AI project from concept to a reliable, deployed system, I would be glad to collaborate.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

AI & Machine Learning Engineer specializing in computer vision pipelines, multimodal LLM orchestration, and production RAG architecture. I help companies turn complex visual and unstructured data into scalable, low latency production systems, from edge deployments to enterprise document intelligence. Key Deliverables & Capabilities: • Real-time edge computer vision (NVIDIA DeepStream, TensorRT, OpenCV), cutting manual processing by up to 85%. • Production OCR and Vision Language Model pipelines for complex engineering drawings, financial files, and structured forms. • Scalable RAG and AI Agent architectures with vector search, custom tool use, and evaluation frameworks. • High-performance backend inference engines built with FastAPI, Docker, and PostgreSQL on AWS. Core Stack: • AI & Computer Vision: Python, PyTorch, TensorFlow, OpenCV, CUDA, NVIDIA DeepStream, TensorRT • LLM & RAG: LangChain, LlamaIndex, Vector Databases, VLMs, Agentic Workflows • Backend & Cloud: FastAPI, Docker, PostgreSQL, AWS, REST APIs • Web & Interface: TypeScript, React, Next.js Let's turn your AI idea into a production-ready product.

I design and build production-grade AI systems that help startups and businesses automate workflows, deploy intelligent applications, and scale with confidence. From LLMs and AI agents to RAG, computer vision, and edge AI, I transform AI concepts into reliable, production-ready solutions. As a PhD Candidate in Artificial Intelligence and hands-on AI Engineer, I combine advanced AI research with practical engineering to deliver systems that perform beyond the prototype stage. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ AI Agents & Agentic Workflows ▸ Retrieval-Augmented Generation (RAG) Systems ▸ AI Assistants & Intelligent Chatbots ▸ LLM Fine-Tuning & Custom AI Models ▸ Multimodal AI Applications ▸ Computer Vision Systems ▸ OCR & Document Intelligence Solutions ▸ Edge AI & Embedded Intelligence ▸ Custom Machine Learning Solutions ▸ AI-Powered Automation Workflows ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ WHAT I SPECIALIZE IN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → End-to-End AI Development Research, experimentation, prototyping, deployment, and continuous improvement. → Production AI & MLOps Model deployment, API development, Docker, CI/CD pipelines, monitoring, and scalable infrastructure. → AI Optimization & Efficiency Model compression, quantization, pruning, latency reduction, and efficient inference for resource-constrained environments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 FEATURED PROJECT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NemaNet — Embedded AI for Plant-Parasitic Nematode Detection Founder and lead AI engineer behind an AI-powered agricultural computer vision system optimized for embedded devices. Designed, trained, optimized, and deployed deep learning models for accurate, real-time detection on resource-constrained hardware, transforming research into a practical field-ready solution. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠 TECHNOLOGIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Programming: Python • SQL AI & Deep Learning: PyTorch • TensorFlow • Hugging Face • Transformers • OpenCV • Scikit-learn LLMs & Agentic AI: LangChain • LangGraph • LlamaIndex • OpenAI • Ollama • vLLM Backend & Deployment: FastAPI • Docker • Kubernetes • REST APIs • Git • CI/CD Vector Databases: FAISS • Pinecone • Qdrant • ChromaDB Cloud Platforms: AWS • Azure • GCP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHY CLIENTS WORK WITH ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✓ Research-backed AI expertise combined with production engineering experience. ✓ Ability to take projects from initial idea and experimentation to deployment. ✓ Experience building LLM, RAG, Agentic AI, Computer Vision, and MLOps solutions. ✓ Focus on reliable, scalable, and cost-efficient AI systems. ✓ Clear communication and engineering practices designed for long-term success. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If you need an AI engineer who can bridge advanced AI research with production-ready engineering, I would be happy to discuss your project and help turn your ideas into scalable AI solutions.

I'm a Software and AI Engineer with 5+ years of experience building full-stack systems, AI-powered applications, and production grade backend infrastructure. I specialize in Ruby on Rails, Python, Node.js, and TypeScript, with deep hands-on experience in LLM integration, NLP pipelines, computer vision, and Kubernetes based deployments. My recent work spans building humanitarian tech platforms, developing AI agents for full stack applications, and running applied ML research on Vision Transformers. I've worked with AWS, GCP, Docker, Langchain, PyTorch, and TensorFlow and I'm comfortable reviewing, validating, and extending AI-generated code responsibly. Beyond shipping code, I care about system reliability, clean architecture, and building things that hold up under real world pressure. I'm drawn to meaningful work social impact platforms, research adjacent engineering, and systems that need to actually scale. I work at the intersection of software and institutional digitalization, driving the modernization of knowledge management systems, standardizing data workflows, and translating legacy processes into scalable digital infrastructure. Strong communicator. 5-star rated. Ready to build something that matters!

Looking for a 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 who can build intelligent A𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗱𝗮𝘁𝗮, or 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵? --------------------------------------------------------------------------------- 🚀 𝗛𝗼𝘄 𝗖𝗮𝗻 𝗜 𝗛𝗲𝗹𝗽? I help startups, businesses, universities, and researchers solve real-world problems using 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜), 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻, 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 (𝗫𝗔𝗜), and 𝗣𝘆𝘁𝗵𝗼𝗻. Whether you need an end-to-end AI solution, advanced data analysis, technical research, or professional LaTeX formatting, I 𝐝𝐞𝐥𝐢𝐯𝐞𝐫accurate, scalable, and well-documented results. --------------------------------------------------------------------------------- 𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 • Machine Learning & Deep Learning, and Artificial Intelligence (AI) • Data Science & Data Analysis. and Predictive Analytics & Forecasting • Computer Vision & Explainable AI (XAI) • Feature Engineering & Model Optimization • Python, TensorFlow & Scikit-learn 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 • Academic & Scientific Writing • Research Methodology, and Literature & Systematic Literature Reviews • Research Paper Writing & Research Proposal Development • MSc Thesis & Dissertation Support • LaTeX & Overleaf Formatting • Journal Manuscript Editing • IEEE, Scopus, Springer & Elsevier Publication Support --------------------------------------------------------------------------------- 💬 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 ⭐⭐⭐⭐⭐ 5.0 "𝘏𝘪𝘴 𝘦𝘹𝘱𝘦𝘳𝘵𝘪𝘴𝘦 𝘢𝘴 𝘢 𝘚𝘺𝘴𝘵𝘦𝘮 𝘋𝘦𝘴𝘪𝘨𝘯𝘦𝘳 & 𝘔𝘦𝘯𝘵𝘰𝘳 (𝘚𝘰𝘭𝘶𝘵𝘪𝘰𝘯 𝘈𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵) 𝘢𝘯𝘥 𝘩𝘪𝘴 𝘭𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱 𝘢𝘴 𝘈𝘐 𝘋𝘦𝘷 𝘊𝘭𝘶𝘣’𝘴 𝘊𝘰𝘶𝘳𝘴𝘦 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘛𝘦𝘢𝘮 𝘓𝘦𝘢𝘥 𝘸𝘦𝘳𝘦 𝘦𝘹𝘤𝘦𝘱𝘵𝘪𝘰𝘯𝘢𝘭." ⭐⭐⭐⭐⭐ 5.0 "𝘐 𝘸𝘢𝘴 𝘷𝘦𝘳𝘺 𝘪𝘮𝘱𝘳𝘦𝘴𝘴𝘦𝘥 𝘣𝘺 𝘋𝘢𝘯𝘪𝘦𝘭'𝘴 𝘤𝘢𝘳𝘦𝘧𝘶𝘭 𝘢𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘦𝘵𝘢𝘪𝘭 𝘢𝘯𝘥 𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺 𝘪𝘯 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘯𝘨 𝘢 𝘲𝘶𝘪𝘤𝘬 𝘵𝘶𝘳𝘯𝘢𝘳𝘰𝘶𝘯𝘥 𝘰𝘧 𝘮𝘺 𝘗𝘩𝘋 𝘵𝘩𝘦𝘴𝘪𝘴." ⭐⭐⭐⭐⭐ 5.0 "𝘌𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘵 𝘸𝘰𝘳𝘬 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘢𝘨𝘢𝘪𝘯, 𝘷𝘦𝘳𝘺 𝘵𝘪𝘮𝘦𝘭𝘺 𝘵𝘶𝘳𝘯𝘢𝘳𝘰𝘶𝘯𝘥, 𝘴𝘩𝘰𝘸𝘦𝘥 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥𝘪𝘯𝘨 𝘰𝘧 𝘶𝘯𝘥𝘦𝘳𝘭𝘺𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭 𝘢𝘯𝘥 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘷𝘦𝘯𝘦𝘴𝘴 𝘵𝘰 𝘧𝘦𝘦𝘥𝘣𝘢𝘤𝘬." --------------------------------------------------------------------------------- 👨‍💻 𝗠𝘆 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 I am a 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿, and 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 with 𝟭𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in AI, higher education, and scientific research. As an 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿, I have successfully delivered AI, data science, and research projects across 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗮𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲, 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, and 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻. In addition to 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴, I serve as: • Journal Manuscript Editor • Peer Reviewer for international journals • MSc Thesis Advisor & Research Mentor • Academic Research Consultant My work combines technical excellence with scientific rigor, ensuring every solution is accurate, reproducible, well-documented, and ready for real-world deployment or publication. --------------------------------------------------------------------------------- 📩 𝗟𝗲𝘁'𝘀 𝗪𝗼𝗿𝗸 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 Whether you need to develop an AI solution, improve a machine learning model, analyze complex datasets, prepare a journal-ready manuscript, review a research paper, supervise a thesis, or format a document in LaTeX, 𝐈'𝐦 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩. 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮𝗻 𝗶𝗻𝘃𝗶𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗿 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼𝗱𝗮𝘆, 𝗮𝗻𝗱 𝗹𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮 𝘀𝘂𝗰𝗰𝗲𝘀𝘀. ---------------------------------------------------------------------------------