About Alireza Barzin Zanganeh
Software Engineer | ML & Data Pipeline Development
I'm a software engineer with over a decade of experience building production software -- SDKs, mobile applications, web platforms, and infrastructure -- primarily in the identity security space. My work has spanned Android development, CI/CD pipeline design, and integrating ML-driven risk engines into authentication systems.
In recent years, I've expanded this foundation into machine learning and GenAI through structured training and hands-on project work. I completed Interview Kickstart's AI/ML Software Engineering Program, earning perfect scores on the ML and system design case studies. I'm currently adding Spark and distributed data processing to my toolkit.
My hands-on work includes building full-stack ML applications, developing retrieval-augmented and agentic AI systems, deploying models via APIs, and engineering validation and monitoring components for production-minded pipelines.
I'm actively building a portfolio of ML and GenAI projects and preparing for roles in Data Engineering, ML Engineering, and ML Ops.
Education & Training
AI/ML Software Engineering Program
Interview Kickstart — Perfect scores on ML and system design case studies. Supervised/unsupervised learning, deep learning (PyTorch/TensorFlow), LLM applications, end-to-end ML pipeline design.
Executive MBA
Industrial Management Institute — Strategic management and business leadership
BSc in Economics
Allameh Tabataba'i University — Specialized in econometrics, statistical modeling, and quantitative analysis
BSc in Civil Engineering
Azad University — Systems thinking and analytical problem-solving
Certificate in Web Development & Design
Portland Community College — GPA: 3.9. Final Project: Android App (Awarded A+ for originality and execution)
Technical Experience
My experience spans SDKs, mobile applications, web platforms, and infrastructure, with a recent focus on machine learning and data pipelines:
Full-Stack ML Applications
Built end-to-end machine learning applications with Flask deployment, RAG pipelines, and agentic AI systems.
ML Validation & Monitoring
Engineered validation and monitoring components for ML-driven authentication and risk-scoring platforms in production.
SDKs & Platform Infrastructure
Built SDKs, Android mobile apps, CI/CD pipelines, and REST APIs for identity security platforms.
GenAI & Agentic AI
Developing retrieval-augmented generation pipelines, tool-calling agents, and NLP systems as part of portfolio work.
Technical Expertise
Machine Learning
Supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, Transformers)
GenAI & LLMs
LLM applications, prompt engineering, NLP pipelines, agentic AI systems
Software Engineering
SDKs, Android development, Flask, REST APIs, CI/CD pipelines
MLOps & Data Pipelines
Model deployment, validation, monitoring, and production pipeline management
Infrastructure
Docker, GitHub Actions, Jenkins, AWS, system design, and reliability engineering
Career Focus
I'm actively building a portfolio of ML and GenAI projects and preparing for roles in Data Engineering, ML Engineering, and ML Ops. My goal is to leverage my software engineering background and ML expertise to build scalable pipelines and ML-driven products that deliver real impact.