Dirshaye Faltamo

Dirshaye Faltamo

Backend Development | Data Engineering

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I build scalable backend systems, automate data pipelines

About Me

Software engineering student passionate about backend development, data engineering. Experienced with Python, Django, FastAPI, AWS, Docker, and more. I enjoy solving real-world problems, building robust systems, and learning new technologies.

Technical Skills

Programming Languages

  • PythonPython
  • JavaJava
  • C#C#
  • SQLSQL

Frameworks

  • DjangoDjango
  • FastAPIFastAPI
  • ASP.NETASP.NET
  • FlaskFlask

Databases & Data Tools

  • PostgreSQLPostgreSQL
  • MongoDBMongoDB
  • Apache AirflowApache Airflow
  • PySparkPySpark

Cloud & DevOps

  • AWSAWS
  • DockerDocker
  • LinuxLinux
  • GitGit
  • GitHubGitHub
  • GitHub ActionsGitHub Actions

Projects

ScrapeWise - Intelligent Web Scraping Dashboard

ASP.NET Core, PostgreSQL, SignalR, Bootstrap
  • Built a production-ready web scraping platform with real-time job monitoring and RESTful API.
  • Implemented SignalR WebSocket integration for live updates and enterprise-grade architecture.
  • Features intelligent CSS selector validation, data export, and comprehensive security measures.
Live Demo

OmniPriceX – AI-Powered Dynamic Pricing System

Django, scikit-learn, Apache Airflow
  • Designing a backend ML-powered pricing tool using Django and scikit-learn.
  • Structuring real-time data pipelines and automation using Apache Airflow.
  • Currently focused on implementing dynamic pricing logic and dashboard integration.
View on GitHub

Smart Package Detection System

Flask, Micropython, IoT
  • Developed a smart IoT mailbox system using Raspberry Pi Pico W, MQTT over TLS, and ultrasonic sensors for real-time package detection.
  • Implemented secure email alerts and a Flask REST API to enable remote monitoring and third-party integration.
  • Designed the system with device provisioning, cloud access, and scalability in mind, simulating real-world IoT architecture.
View on GitHub

Cybersecurity Risk Detector

scikit-learn, Streamlit
  • Developed a machine learning classifier to detect cybersecurity threats.
  • Generated synthetic datasets, evaluated 10 ML algorithms, and selected the best model.
  • Deployed a real-time risk prediction app using Streamlit.
View on GitHub

Experience

Forage Software Engineering Virtual Internship

Accenture North America, Jan 2025
  • Completed a job simulation supporting a small dev team overwhelmed by a growing code base.
  • Wrote a class in Java (Spring Boot) to perform search on an interactive website.
  • Set up automated builds using Jenkins to validate code changes on every push.
  • Managed the team's workload by writing user stories in an Agile sprint planning session.

Education

Instituto Politécnico de Tomar, Portugal

Erasmus+ Exchange program in Computer Engineering, Feb 2025 - June 2025
Relevant Coursework: Project Management, DevOps, Web Development, Internet of Things, Operating Systems, Intelligent Systems.

Celal Bayar University, Turkey

BSc in Software Engineering, June 2026 (Expected)
Relevant Coursework: Data Structures and Algorithms, OOP, Advanced Web Programming, DBMS, Software Architecture and Design, Machine Learning, Computer Networks, Software Testing, Probability and Statistics, Service-Oriented Architecture.

AddisCoder, Ethiopia

CS Bootcamp by Harvard and Stanford Faculty, Summer 2019
Relevant Skills: Data Structures and Algorithms, Python Programming

Certifications

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