Hello, I'm
Tesfaye Alemayehu
AI and Data Engineer
Building intelligent systems that shape the future
Machine Learning / AI Engineer with expertise in Generative AI and NLP, specializing in large language models, Embeddings, Vector databases, and RAG pipelines. experienced in building impactful LLM-powered Assistant Agents. Demonstrated success in designing, developing, and deploying end-to-end ML/DL projects, grounded in strong software and data engineering principles. Proficient in Python, TensorFlow, Scikit-Learn, and Docker. Driven to leverage machine learning for innovative solutions and positive impact, I actively seek opportunities to expand my expertise.
Connect with me:
About Me
Passionate about creating intelligent systems that solve real-world problems
Machine Learning / AI Engineer with expertise in Generative AI and NLP, specializing in large language models, Embeddings, Vector databases, and RAG pipelines. experienced in building impactful LLM-powered Assistant Agents. Demonstrated success in designing, developing, and deploying end-to-end ML/DL projects, grounded in strong software and data engineering principles. Proficient in Python, TensorFlow, Scikit-Learn, and Docker. Driven to leverage machine learning for innovative solutions and positive impact, I actively seek opportunities to expand my expertise.
With over 5 years of experience in the AI field, I've had the privilege of working on cutting-edge projects that span from computer vision and natural language processing to large-scale machine learning infrastructure. My passion lies in bridging the gap between theoretical AI research and practical, scalable solutions.
Education
Google Developers Machine Learning Bootcamp
Google • 2022-2023
Professional Certificate - Machine learning, data engineering, and Web3
10 Academy • 2022
Bachelor of Science in Software Engineering
Addis Ababa Science And Technology University • 2016-2021
Certifications
• Certified Tensorflow Developer, From Tensorflow
• Azure Data Engineer Associate, From Microsoft
• AWS Cloud Practitioner, From Amazon AWS
Skills & Expertise
Technologies and tools I work with to build intelligent systems
My Journey
Professional experience and educational background
Professional Experience
Education
Google Developers Machine Learning Bootcamp
Specialized in Machine Learning
Professional Certificate - Machine learning, data engineering, and Web3
10 Academy
Specialized in Artificial Intelligence & Machine Learning
Bachelor of Science in Software Engineering
Addis Ababa Science And Technology University
Specialized in Software Engineering
Featured Projects
Innovative AI solutions I've built and deployed
A project repository focused on research-oriented conversational AI or chat applications. The project contains a Next.js frontend, a modern web interface with SSE Transport implementation using FastAPI backend.
Key Features:
- Frontend built with Next.js for rapid development and deployment
- Modern web development workflows with SSE Transport implementation using FastAPI backend
- Potential research or chat AI backend (inferred from project name)
A modular system for autonomous agents to interact programmatically with external services (like GitHub, Google Drive, and filesystems) via the Method Call Protocol (MCP). It provides a unified API gateway for tool discovery, orchestration, and execution, abstracting service protocols and enabling scalable, intelligent automation.
Key Features:
- Centralized API gateway for MCP servers
- Unified tool discovery and invocation
- Integration with GitHub, Google Drive, and filesystems
A deep learning project focused on building robust and accurate speech-to-text models for the Amharic language. The system targets hands-free voice transcription, particularly to support intelligent forms for nutritional data collection in Ethiopia and Kenya. The model emphasizes strong noise robustness and real-world applicability.
Key Features:
- End-to-end deep learning pipeline for Amharic speech recognition
- Audio preprocessing and MFCC feature extraction
- Noise-robust neural network model
A scalable data warehouse and pipeline system designed for a city traffic department to collect, store, and analyze vehicle trajectory data from swarm UAVs (drones) and static roadside cameras. The system utilizes the ELT (Extract, Load, Transform) framework to efficiently organize and process large-scale traffic data for downstream analytics and projects.
Key Features:
- Automated data extraction and loading from drone/camera sources
- Workflow orchestration and scheduling using Airflow DAGs
- Transformations and modeling with DBT for analytics-ready data
Showing 4 projects
Availability
Current availability for projects and opportunities
Expert guidance on machine learning strategy and implementation
Open to discussing full-time AI Engineer positions
Conferences, workshops, and educational events
Advisory roles for startups and established companies
Contributing to meaningful open source AI projects
Get In Touch
Let's discuss how we can work together on your next AI project
tesfayealemayehu27@gmail.com
Phone
+251964345364
Location
Addis Ababa, Ethiopia