Mikias Worku Wondifraw
AI/ML Engineer
Machine Learning Engineer and AI Product Builder specializing in designing and deploying AI-powered solutions. I build intelligent, scalable systems that solve real-world problems in FinTech, EdTech, and E-commerce domains using GenAI, LLMs, and RAG architectures.
About Me
Passionate about leveraging AI and data science to solve complex business problems and drive innovation
Driving Innovation Through AI & Data Science
I'm a Machine Learning Engineer, AI Product Builder & Strategist, and Senior Software Engineer with a passion for designing and deploying AI-powered solutions. I specialize in building intelligent, scalable systems that solve real-world problems in FinTech, EdTech, and E-commerce domains.
At KehaliLab, I've led the end-to-end development of multilingual NLP pipelines, fraud detection systems, credit risk scoring models, and agentic AI solutions for SaaS platforms. My work integrates GenAI, LLMs, and Retrieval-Augmented Generation (RAG) using LangChain, AutoGen, crewAI, and OpenAI APIs transforming complex workflows into intelligent, user-driven automation.
My unique edge lies in combining ML expertise, software engineering maturity, and product vision to deliver production-grade AI systems that are robust, ethical, and impactful. I hold certifications from DeepLearning.AI and IBM in Machine Learning, NLP, TensorFlow, and AI Product Management.
Core Competencies
🎯 Core Specialties
AI/ML Expertise
Deep learning, NLP, computer vision, and generative AI with production-scale implementations
Technical Leadership
Full-stack development, MLOps, and system architecture across multiple domains
Product Strategy
Product management, agile methodologies, and strategic roadmap development
Team Leadership
Mentoring developers, leading cross-functional teams, and driving innovation
Innovation Focus
GenAI applications, agentic systems, and cutting-edge AI solutions
Domain Expertise
FinTech, E-commerce, Risk Analytics, and scalable software solutions
Featured Projects
Real-world AI/ML projects demonstrating expertise in data science, machine learning, and product development
Credit Risk Predictive Model
AI-powered credit scoring system for micro-lending, leveraging alternative e-commerce transaction data with interpretable ML models and Basel II compliance.
25% reduction in default rates through improved risk assessment
E-commerce Bank Fraud Detection
Advanced ML system for Adey Innovations detecting fraudulent activities across e-commerce and banking with sophisticated feature engineering and explainable AI.
99.2% fraud detection accuracy
Time Series Portfolio Optimization
Advanced ML solution for GMF Investments using time series forecasting to predict asset price movements and optimize investment portfolios through Modern Portfolio Theory.
Optimized portfolio returns with predictive modeling
Price Predictor System
Advanced ML system for Rossmann Pharmaceuticals predicting store sales 6 weeks ahead using ensemble methods, feature engineering, and deep learning for inventory optimization.
6-week sales forecasting with 92% accuracy
Intelligent Compliant Bot
RAG-powered AI chatbot for CrediTrust Financial to analyze customer complaints, featuring semantic search with FAISS/ChromaDB and LLM-generated insights.
60% reduction in response time
Telegram Medical Data Pipeline
End-to-end ELT pipeline extracting insights from Ethiopian medical business Telegram channels, enriched with computer vision and dimensional modeling.
Delivered real-time healthcare market insights from unstructured Telegram data
Professional Experience
6+ years of experience in machine learning, software engineering, and product management
Machine Learning Engineer
Leading AI/ML initiatives across FinTech, E-commerce, and Risk Analytics domains
Key Achievements & Responsibilities
- Developed a Credit Risk Predictive Model to evaluate creditworthiness for FinTech micro-lending leveraging e-commerce transaction data and risk scoring strategies
- Built multilingual NLP pipelines for scraping, cleaning, and analyzing Ethiopian e-commerce data, extracting key entities with NER
- Designed ML systems for detecting fraud in e-commerce and banking using advanced feature engineering and predictive modeling
- Applied NLP pipelines for sentiment analysis and keyword extraction from customer reviews
- Predicted stock market movements by integrating news sentiment scores with financial trend analysis
- Conducted time-series forecasting and Bayesian change point analysis on Brent oil prices to identify event-driven shifts
- Created real-time ETL pipelines to extract, transform, and analyze Telegram data streams for insights into medical product trends
Technologies & Skills
Product Owner, Project Manager, Senior Full Stack Developer
Led product development and project management for gaming industry solutions
Key Achievements & Responsibilities
- Implemented agile project management methodologies, fostering teamwork, adaptability, and accountability across development teams
- Led the development of outsourcing products in the gaming industry by creating PRDs, FSDs, and defining product strategies and roadmaps
Technologies & Skills
Product Owner, Scrum Master, Senior Full Stack Developer
Product ownership and full-stack development for multimedia and fintech solutions
Key Achievements & Responsibilities
- Designed and implemented payment systems for Sewasew Multimedia, integrating local providers and increasing user retention
- Pioneered the Sewasew Reward System to incentivize client participation and enhance data collection
- Created a comprehensive admin panel for managing and simplifying platform operations and customer support
- Led the implementation of a Music Contest Management Platform, supporting the music industry and strengthening Sewasew's market positioning
- Introduced agile project management methodologies, emphasizing teamwork, adaptability, and accountability
- Directed developers to adopt Behavior-Driven Development (BDD) practices, accelerating high-quality product delivery
Technologies & Skills
Senior Software Engineer
Led development teams and delivered mission-critical web applications
Key Achievements & Responsibilities
- Led a team to deliver mission-critical web applications, achieving a 20% increase in user engagement and reducing load times by 15%
- Implemented RESTful APIs, optimized application performance, and ensured seamless user experiences
- Mentored junior developers, conducted code reviews, and maintained high coding standards for responsive systems
Technologies & Skills
Embedded Engineer
Developed embedded systems and IoT solutions
Key Achievements & Responsibilities
- Developed an Access Control System and programmed drivers for GSM modules
- Built WebSocket libraries supporting TCP, TLS, and URI configuration
- Conducted operational tests and reviewed hardware designs, ensuring alignment with requirements and specifications
Technologies & Skills
Intern Software Engineer
Contributed to AI research projects and framework development
Key Achievements & Responsibilities
- Built and trained a facial landmark detection CNN model to localize key points in facial images
- Contributed to OpenCog projects by writing Python and C++ unit tests for AI frameworks
Technologies & Skills
Skills & Expertise
Comprehensive expertise across AI/ML, software engineering, and product development
B.S Electrical and Computer Engineering, Electronics
Addis Ababa University
Academic Highlights
- Coursework: Introduction to Probability, Object Oriented Programming, Introduction to Computing
- Thesis: Wireless Wearable EEG Data Acquisition and Classification BCI System
- Award: Distinction (2019)
- Semi-finalist for the 2018 InnovateFPGA Global Design Contest: EMEA Regional Competition
Get In Touch
Let's discuss opportunities, collaborations, or how I can help bring your AI/ML projects to life