Software Engineer

Divar

• Architected, Engineered, and maintained highly available and reliable microservices under heavy load. Played a pivotal role in developing, refactoring, redesigning, and maintaining 5+ vital gRPC and REST microservices in both Golang and Python.
• Directed the redesign and rewrite of the “Submit” gRPC microservice from Python to Golang, leading to a 80%+ reduction in the upper 99th percentile response time (sub-100ms) while providing a 99.99% uptime. Achieved a 95%+ reduction in average response size and a remarkable improvement in developers’ experience and productivity. Decreased call center load by 10%+ due to significant improvements in service reliability and observability.
• As the main owner and maintainer of the “Submit” microservice, coordinated six team members toward +4 successful product releases. Reviewed 3+ daily merge requests with precision, ensuring code quality and structure as well as seamless and 0 downtime deployments. Optimized resource utilization by 85%. Enhanced test coverage and effectiveness considerably with both unit tests and end-to-end tests. Designed innovative logging and observability solutions, resulting in a 70%+ more efficient and cost-effective log management and debugging processes.
• Developed and deployed a Python web application with Django during my internship. Heavily participated in data modeling and design. Ranked first amongst 3300+ participants in the entrance competition. Exemplified exceptional discipline, perseverance, management and technical skills, leading to an early hire during the internship and promotions within 6 months.
• Managed and successfully resolved 10+ critical incidents, especially during on-call shifts.
• Skills: Golang - Python - Kubernetes - Docker - CI/CD - gRPC - PostgreSQL - MongoDB - SQL - Redis

Machine Learning Researcher/Developer

Research Center of Nanostructured and Advanced Materials (CNAM)

• Pioneered the integration of Machine Learning and Computer Vision with the realm of Materials Science and Engineering alongside eight of the nation's most accomplished students of the time.
• Co-authored 3 journal papers that delve into the practical applications of Machine Learning in the field of Materials Science.

Deep Learning Developer

AI-Medic

• Researched and implemented cutting-edge computer vision models. Competed in the Medical Decathlon leaderboards and outperformed 200+ competitors.
• Utilized PyTorch to train a CNN for semantic segmentation of MRI images. Achieving an impressive DICE score of 89.14% on a publicly available dataset. Also used TensorFlow for comparison purposes.
• Supervised 20+ interns, facilitating their success in achieving high-quality research outcomes in the field of computer vision.

Master of Science in Artificial Intelligence

K.N. Toosi University of Technology

• Ranked top 1% in the nationwide entrance exam.

Bachelor of Engineering, Major in Materials Science and Engineering

Sharif University of Technology

• Collaborated on three journal papers focusing on the fusion of Machine Learning and Computer Vision with Materials Science and Engineering, showcasing a distinct research-oriented approach.
• Ranked top 0.5% in the nationwide entrance exam.

High School Diploma

Allame-Helli 1 High School

E-Commerce Web App v2.0

• Built an E-Commerce Web App, Powered by Django, Django REST Framework and JWT paired with an amazing Single App Front-end paradigm, with the help of React, Redux, Axios, React Bootstrap and many more.
• PostgreSQL was used as the Database of the project
• CI/CD were taken case of by the means of Unit Testing, GitHub Workflows and Docker

Recipe App

• Built a Backend API with Django REST Framework with Test Driven Development in mind

E-Commerce Web App v1.0

• Built an E-Commerce Web App, Powered by Django, with simple HTML, CSS and Bootstrap
• PostgreSQL was used as the Database of the project
• CI/CD were taken case of by the means of Unit Testing, GitHub Workflows and Docker

Email App

• Developed a Single Page Application with the help of Django, HTML, CSS and JavaScript, specifically React

Prostate Semantic Segmentation

• Built a competitive model with a Dice Score of 0.92/1 regarding semantic segmentation of PCa MRI Images.

Working with Microservices in Go (Golang) - Udemy - 2022

Golang Tutorial - Youtube - 2022

Software Engineering and DevOps - Coursera (IBM) - 2022

Docker and Kubernetes - Udemy - 2022

Data Engineering Nanodegree Progam - Udacity - 2022

Data Engineering Nanodegree Progam - Udacity - 2022

The Complete SQL Bootcamp - Udemy - 2022

Software Engineering - edX (UBC) - 2022

Blockchain Technology - edX (UC Berkeley) - 2022

CS50's Web Programming with Python and JavaScript - edX (Harvard) - 2022

Data Structures & Algorithms with Python - Udemy - 2022

Django and React Integration - Udemy - 2022

Backend REST API with Python and Django - Udemy - 2022

Django REST Framework - Youtube - 2022

Django Framework - YouTube - 2021

Machine Learning - fast.ai & Coursera - 2021

Ranked top 0.5%
Iran's National 2018 Universities Entrance Exam for B.Sc. (Konkur)

Persian: Native

English: Full Professional Proficiency

French: Professional Working Proficiency