Projects
-
- Date: Jun 15, 2025
- Role: Lead ML Engineer & Full-Stack Developer
- Designed and developed Genie, an AI-powered chatbot that allows users to connect directly to relational databases and query their data using natural language. Built a complete SaaS platform with a responsive web application as well as iOS and Android apps, providing a seamless user experience across devices. The system enables users to register their database credentials, configure environments, and interact with data conversationally through Genie’s chat interface. Features include feedback reactions, regenerate options, and secure multi-user support. By integrating FastAPI as the backend, a vector database for semantic understanding, and a modern React + TypeScript frontend, Genie ensures fast, reliable, and intuitive database interaction. The mobile applications were developed using Flutter, supporting theme customization and responsive layouts.
- Skills & Tech: FastAPI, React, TypeScript, Vector Database, Flutter (iOS & Android), SaaS Development
AI Chatbot for Conversational Database Access
-
- Date: Aug 15, 2025
- Role: Full-Stack Developer & AI Engineer
- Built an AI-driven dashboard tool for daycare centers, enabling staff to input budgets, classroom data, and resource details. The system leverages machine learning to analyze inputs and generate recommendations for optimized resource allocation, staffing, and classroom management, helping administrators improve operational efficiency, planning accuracy, and cost management. The platform includes an intuitive web dashboard, automated reports, and simulation features that let centers model different budget and staffing scenarios before making decisions.
- Skills & Tech: OpenAI API, Python, React, FastAPI, Data Analytics, Simulation Tool
AI-Powered Daycare Center Simulator Tool
-
- Date: April 23, 2022
- Role: Data Engineer
- Engineered a real-time speech data pipeline leveraging a distributed Kafka cluster. Designed producers and consumers to handle large-scale audio streams with low latency, ensuring fault tolerance and scalability. Implemented data ingestion, processing, and storage layers, enabling downstream analytics and model training.
- Skills & Tech: Kafka, Spark, Airflow, AWS S3, Athena, ELT Pipelines, Apache Kafka, Streaming Pipelines, Distributed Systems, Real-Time Processing
Speech Data Pipeline | Kafka Cluster
-
- Date: April 5, 2022
- Role: Data Engineer
- Designed and implemented a scalable data warehouse for open-traffic datasets within the pNEUMA framework. Built ELT pipelines using MySQL and dbt for transformations, ensuring high data quality and consistency. Integrated Apache Airflow to orchestrate ingestion and processing workflows, enabling seamless automation. Delivered interactive dashboards in Redash, improving data accessibility and operational efficiency for real-time traffic analysis.
- Skills & Tech: Kafka, Spark, Airflow, AWS S3, Athena, ELT Pipelines, dbt, MySQL, Redash, Data Visualization
Data Warehouse for pNEUMA | Open-Traffic Datasets
-
- Date: Sep 12, 2022
- Role: Data Engineer
- Built a Python module to access, process, and visualize USGS LIDAR and satellite datasets for maize field studies. Enhanced analysis workflows to support research on crop productivity, fertilizer optimization, and spatial variability. Delivered geospatial insights through automated pipelines and visualization tools.
- Skills & Tech: Python, PDAL, LASzip, CloudCompare, QGIS, ArcGIS, USGS 3DEP API
USGS LIDAR Data Warehouse | Agriculture Analytics
-
- Date: Mar 22, 2022
- Role: Machine Learning Engineer
- Developed a speech recognition system that converts Amharic and Swahili speech into text. Designed to improve accessibility and digital communication in regions where these languages are widely spoken. Implemented advanced signal processing techniques such as Fourier transforms and Mel-Frequency Cepstral Coefficients (MFCCs) to capture and analyze speech patterns. Leveraged TensorFlow and PyTorch for model training and optimization, achieving high transcription accuracy across diverse audio inputs.
- Skills & Tech: TensorFlow, PyTorch, NLP, Signal Processing, MFCCs
Speech Recognition System | Amharic & Swahili
-
- Date: Mar 22, 2022
- Role: Data Analyst
- Built a scalable data analytics pipeline to collect, process, and analyze social media data from platforms like YouTube, Twitter, and Facebook. Designed automated ETL workflows using AWS Glue, Lambda, and EMR to consolidate large datasets for sentiment analysis, trend forecasting, and audience behavior tracking. Applied AI-driven analytics to uncover patterns in customer engagement and market dynamics, enabling data-informed decision-making across business units. The pipeline improved data accessibility and reporting efficiency, resulting in a 10% increase in customer engagement.
- Skills & Tech: AWS Glue, Lambda, EMR, Snowflake, Redash, Python, ETL, Data Analytics, Machine Learning
Social Media & Data Analytics Pipeline
×
![]()
