About Alireza Barzin Zanganeh
Software Engineer | ML Engineer | GenAI Practitioner
I'm a software engineer with over a decade of experience in automation systems, infrastructure design, and full-stack development. In recent years, I've transitioned into machine learning and GenAI through structured training and hands-on project work.
I'm currently completing Interview Kickstart's AIML Software Engineering Program, focusing on ML lifecycle, deep learning, GenAI, LLMs, NLP, and deployment. My current interests include prompt engineering, NLP pipelines, and agentic AI systems.
I've built full-stack ML applications, deployed models via Flask, and engineered validation and monitoring systems for ML-driven platforms. My background in automation gives me a strong foundation in reproducibility, deployment, and system reliability.
I'm actively building a portfolio of ML and GenAI projects and preparing for roles in Applied ML Research, ML Ops, and Prompt Engineering.
Education & Training
AIML Software Engineering Program
Interview Kickstart (In Progress) — ML lifecycle, deep learning, GenAI, LLMs, NLP, deployment
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 automation systems, infrastructure design, and full-stack development, with a recent focus on machine learning and GenAI:
Full-Stack ML Applications
Built end-to-end machine learning applications with Flask deployment, integrating models into production systems.
ML Validation & Monitoring
Engineered validation and monitoring systems for ML-driven platforms, ensuring model reliability and performance in production.
Automation & Infrastructure
Designed and implemented automation systems with a focus on reproducibility, deployment, and system reliability.
GenAI & NLP Projects
Working on prompt engineering, NLP pipelines, and agentic AI systems as part of my portfolio development.
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
Full-Stack Development
Flask deployment, ML application development, automation systems
MLOps
Model deployment, validation, monitoring, and production pipeline management
Infrastructure & Automation
System design, reproducibility, deployment, and reliability engineering
Career Focus
I'm actively building a portfolio of ML and GenAI projects and preparing for roles in Applied ML Research, ML Ops, and Prompt Engineering. My goal is to leverage my software engineering background and ML expertise to build scalable, production-ready AI systems.