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You will get a fantastic landing page designed for your app.
Rising Talent
Rising Talent
Project details
You will get your ideas coded as you have imaged them in your mind. I create a pixel-perfect design that will promote your business. My quick delivery time and easygoing behavior will make our relationship smooth.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$45
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 10 days | 7 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
Number of Sections | 4 | 5 | 6 |
Opt-In Form | - | - | |
Autoresponder Integration | - | - | |
Social Media Icon Integration | - | ||
Responsive Design |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $15
Additional Revision
+$5
Additional Section
(+ 2 Days)
+$10
Opt-In Form
(+ 2 Days)
+$5
Autoresponder Integration
+$10
Social Media Icons
+$5About Melaku
AI / Machine Learning Engineer | Data Engineer | Data Scientist
Addis Ababa, Ethiopia - 1:18 pm local time
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.
Steps for completing your project
After purchasing the project, send requirements so Melaku can start the project.
Delivery time starts when Melaku receives requirements from you.
Melaku works on your project following the steps below.
Revisions may occur after the delivery date.
1st Step
We will discuss the key features and the project will be started.
2nd Step
The project will get finished 50 %