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Melaku Alehegn

@melakualehegn

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Full Stack AI & Machine Learning Engineer building production ML/LLM systems end-to-end for real-world decisions.

Ethiopia

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What I'm looking for

I’m looking for a role where I can build end-to-end production ML/LLM systems—data pipelines, model training, and backend/infrastructure integration—to deliver reliable, scalable product outcomes with real impact.

I’m a Full Stack AI & Machine Learning Engineer focused on designing and deploying production-grade machine learning and LLM-based systems. I work across data, backend, and infrastructure to deliver reliable, scalable solutions, especially where end-to-end pipelines and data-intensive feature engineering matter.

At Wicked Analytics, I designed and deployed a 16-week ML demand forecasting model using multi-year historical Walmart sales and store-level data, producing per-item weekly predictions that drive replenishment decisions. I built Airflow-orchestrated pipelines to move and transform data into Snowflake with DBT, then powered planner-facing outputs through a full-stack demand planning web application (React, FastAPI, PostgreSQL). I also integrated stable weekly Excel deliverables into existing workflows so teams could adopt improvements without disrupting cadence.

Before that, at Arifpay, I built fraud detection models from high-volume transactional data and severe class imbalance, contributing to a 15% reduction in fraud incidents, and developed a merchant credit scoring system with FastAPI that improved lending decision accuracy and increased approval confidence by -40%. I’ve also delivered ML reliability improvements with continuous learning (MLflow, Celery) and Airflow workflows, and I bring strong RAG and dashboarding experience through Retrieval-Augmented Generation systems and executive KPI reporting in Metabase.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Wicked Analytics

Feb 2026 - Present (5 months)

Designed, trained, and deployed a 16-week ML demand forecasting model for retail-supplier clients, producing per-item weekly predictions used for replenishment decisions. Built Airflow-orchestrated Snowflake + DBT pipelines and a full-stack demand planning web app (React, FastAPI, PostgreSQL) for planners.

Machine Learning Demand Forecasting Airflow Snowflake DBT PostgreSQL fastAPI React Data Pipelines Feature Engineering Web Application Development

Data Scientist

Arifpay

Jan 2025 - May 2026 (1 year 4 months)

Built and deployed machine learning models for payment fraud detection, including behavioral and temporal feature pipelines that contributed to a 15% reduction in fraud incidents. Developed a merchant credit scoring system using FastAPI and implemented continuous learning with MLflow, Celery, and Airflow to retrain and monitor models in production.

Machine Learning Fraud Detection Class Imbalance Feature Engineering fastAPI Credit Scoring MLFlow Celery Airflow Model Monitoring Metabase RAG

Software Developer Intern

OpenStack

Dec 2023 - Apr 2024 (4 months)

Enhanced the UI workflow of the OpenStack Manila project using Django views to streamline share network creation and improve usability. Improved test reliability by achieving 90% unit test coverage and standardizing development workflows with pre-commit and tox.

Django Unit Testing Pre Commit Tox

Cloud Consultant

Nedamco Africa

Dec 2023 - Mar 2024 (3 months)

Consulted clients across agritech, hospitality, and pharmaceutical industries on cloud adoption strategies using AWS and Azure. Supported scalable architecture design, migration and deployment planning, and implementation guidance using services such as EC2, S3, IAM, RDS, and CloudWatch.

Cloud Adoption AWS Azure EC2 S3 IAM RDS Cloudwatch Cloud Migration Cost Optimization

Full Stack Developer Intern

MMCYTech

Jul 2023 - Jan 2024 (6 months)

Developed a full-stack Applicant Tracking System (ATS) web application using Vue.js, Express.js, and Tailwind CSS. Implemented core ATS features including login, candidate listings, job listings, and an admin dashboard while collaborating in an agile environment.

Vue.Js Tailwind REST APIs Authentication Applicant Tracking Systems Admin Agile Development Database Development

Education

Degrees, certifications, and relevant coursework

Addis Ababa Science and Technology University

Bachelor of Science, Electrical and Computer Engineering

2016 - 2021

BSc in Electrical and Computer Engineering (2016–2021), with coursework focused on applied AI/ML, data & MLOps, backend deployment, and LLM/search systems.