I specialize in designing and building large-scale backend systems that solve complex business problems.

My primary focus is:

• Distributed Systems
• Microservices Architecture
• Backend Engineering
• Learning Platforms
• Event-Driven Systems
• Learning Analytics
• AI-Powered Applications
• System Design & Performance Optimization

I enjoy turning complicated workflows into reliable, scalable software that can support thousands of users.

A comprehensive, event-driven educational platform built as a scalable microservices architecture. This system integrates cohort management, real-time analytics, dynamic curriculum structures, and AI-powered media processing and other microservices into a single cohesive ecosystem.

• Cohort Management: cohort course management, student enrollment, seat allocation, schedule management, and assessment release.
• Learning Analytics: Real-time tracking of learning velocity, completion forecasting, drop-off detection, leaderboard, and certification generation.
• Curriculum Engine: Hierarchical course structuring with dynamic reordering, tree-based navigation, breadcrumb generation and bulk content operations.
• Google Calendar Synchronization: OAuth2-authenticated calendar provisioning, incremental event mapping, and webhook integrations for cohort based learning and assessment .
• AI & Media Processing: Automated video transcription, learning content summarization, and video processing.
• Content delivery: self paced and cohort based content delivery with business logic .

Core Technologies: NestJS, PostgreSQL, Apache Kafka, Eureka, Redis, Python, Gemini AI, Whisper AI

A transaction-safe Python utility designed to preserve data integrity across live production databases.

• Engineered an automated backup utility using psycopg2 to execute complete exports while preserving schemas, constraints, and indexes.
• Optimized large-scale data extraction by implementing PostgreSQL's native COPY format for high-throughput, memory-efficient handling of binary data.
• Enforced strict data integrity through read-only, transaction-bound operations with automated error rollback to mitigate corruption risks.
• Streamlined administrative workflows with scheduled automation, dynamic timestamped file generation, and detailed execution logging.

Core Technologies: Python, PostgreSQL, psycopg2

A highly concurrent file processing architecture engineered for massive document datasets.

• Developed a processing pipeline utilizing Python's ThreadPoolExecutor to concurrently convert massive, nested directories of scanned images into PDFs.
• Designed a memory-efficient batching architecture capable of handling thousands of high-resolution images simultaneously without memory overflow.
• Integrated on-the-fly image compression via the Pillow library, drastically reducing storage footprint while maintaining document clarity.
• Built robust execution tracking using tqdm for real-time visualization and detailed logging to intelligently skip processed directories.

Core Technologies: Python, ThreadPoolExecutor, Pillow, tqdm

• NestJS
• Node.js
• Express.js
• TypeScript
• Python
• FastAPI

• Apache Kafka
• Eureka Service Discovery
• TCP Microservices
• Event-Driven Architecture
• Service-Oriented Design

• PostgreSQL
• Redis
• MongoDB
• Firebase

• Docker
• GitHub Actions
• Linux
• MinIO (S3 Compatible Storage)

• Gemini AI
• Whisper AI
• Automation Pipelines
• Analytics Systems

Currently working on:

• Scalable microservice ecosystems
• Learning analytics platforms
• Secure media delivery systems
• AI-powered educational tools
• High-performance backend architecture
• Distributed event processing
• Algo Trading

• Design for scalability from the start.
• Optimize for reliability before complexity.
• Measure performance before guessing.
• Automate repetitive processes.
• Build maintainable systems over clever systems.

Me + AI = 🔥

Portfolio 👉 http://tamirat-fereja.netlify.app/
Email 📧 tamiratfereja1029@gmail.com
LinkedIn 👉 https://www.linkedin.com/in/tamirat-fereja/
Telegram 👉 https://t.me/Tamirat_NE

❕ Below WakaTime stats do not include data from the past 5 months.

• Distributed Systems
• Backend Architecture
• Learning Technologies
• Analytics Platforms
• AI Applications
• System Design
• Performance Engineering
• Developer Productivity

Building systems that stay reliable as complexity grows.