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Machine Learning Engineer, VanityAI

MARZ - Monsters Aliens Robots Zombies

Part-time research and engineering role on machine-learning components for VanityAI.

• Supported the revival of VanityAI by contributing to core machine-learning research and engineering work.

Mid-Level Data Scientist, Artificial Intelligence - Maps

Tapsi

Worked on ETA prediction, map matching, routing, and data science infrastructure for a large ride-hailing platform.

• Centralized ETA modules across backend and data science, aligning simulation and production metrics and contributing to a 1% revenue increase.
• Prototyped a graph-based ETA prediction system using road-segment graphs and Graph Neural Networks.
• Improved OSRM-based preprocessing for Hidden Markov Model map matching, reducing matching errors by nearly 80%.
• Built an automated model retraining and deployment pipeline for the ETA framework.

Mid-Level Software Engineer, Backend - Rides

Tapsi

Worked on ride matching, dispatch, microservices, and observability for the core rides platform.

• Collaborated on a flow-optimized driver-passenger matching algorithm that increased revenue by nearly 2% and reduced average wait time by 8%.
• Refactored three microservices with query optimization, indexing, caching, and gRPC communication, reducing average response times by about 15%.
• Developed Grafana and Metabase monitoring dashboards for production microservices.

Research Assistant in 3D Computer Vision

GrUVi Lab, Simon Fraser University

Supervised by Dr. Ali Mahdavi-Amiri.

• Developing a 3D hair modeling framework that generates realistic hair from a single image.
• Training on diverse synthetic hairstyles while prioritizing generalization to real portrait domains.

Research Assistant in Multimodal Learning

Sharif University of Technology

Supervised by Dr. Mahdieh Soleymani Baghshah.

• Studied inconsistencies in vision-language models across different levels of label abstraction.
• Integrated semantic hierarchical label knowledge during fine-tuning to improve class separation across granularities.

Research Assistant in Machine Learning Theory

Sharif University of Technology

Supervised by Dr. Abolfazl Motahari and Dr. Amir Najafi.

• Combined self-supervised learning and distributionally robust learning to use out-of-domain unlabeled samples.
• Helped develop polynomial-time algorithms with improved theoretical generalization bounds over ERM baselines.

M.Sc. (Thesis-Based)

Simon Fraser University

Computing Science

• GPA: 4.08/4.00
• Supervisor: Dr. Ali Mahdavi-Amiri

B.Sc.

Sharif University of Technology

Computer Engineering

• GPA of units passed: 17.93/20
• Thesis: Enhancing Vision-Language Models' Classification Performance with Hierarchical Semantic Labels
• Supervisor: Dr. Mahdieh Soleymani Baghshah
• Graduate-level courses: Deep Learning (20/20), Machine Learning (20/20)

HairPort: In-context 3D-Aware Hair Import and Transfer for Images

ACM SIGGRAPH, 2026

A 3D-aware in-context hair import and transfer method for images.

Unlabeled Out-of-Domain Data Improves Generalization

International Conference on Learning Representations (ICLR), 2024

Spotlight presentation.

Vision-Language Models Toolbox

A PyTorch library for multimodal research with vision-language models such as CLIP and DINO-V2, supporting fine-tuning strategies including contrastive and soft-prompt tuning.

MedSegDiff

PyTorch reimplementation of MedSegDiff for tumor detection.

Zero-Shot Object Detection

Zero-shot object detection pipeline combining CLIP with Faster R-CNN region proposals.

Bootstrap Your Own Latent (BYOL)

Fine-tuning BYOL models on STL10 with a pretrained ResNet backbone.

Generative Models

Comparative study of VAEs, GANs, and DDPMs on Fashion MNIST.

Full-Stack Food Delivery Platform

A FastAPI and Vue.js food delivery application built on an event-driven distributed microservices architecture.

FastAPI JWT Authentication

Python authentication middleware for FastAPI with Redis integration.

Special Topics in Artificial Intelligence

Simon Fraser University

Lectured by Dr. Nick Vincent

Deep Learning (Graduate Course, x2)

Sharif University of Technology

Lectured by Dr. Beigy and Dr. Soleymani Baghshah

Deep Generative Models (Graduate Course)

Sharif University of Technology

Lectured by Dr. Beigy

Machine Learning (Graduate Course, x2)

Sharif University of Technology

Lectured by Dr. Sharifi Zarchi and Dr. Motahari

Advanced Information Retrieval

Sharif University of Technology

Lectured by Dr. Beigy

Artificial Intelligence

Sharif University of Technology

Lectured by Dr. Soleymani Baghshah and Dr. Rohban

Intelligent Analysis of Biomedical Images (Graduate Course)

Sharif University of Technology

Lectured by Dr. Rohban

Silver Medal

International Olympiad on Astronomy and Astrophysics

13th IOAA, Hungary.

Gold Medal (1st Rank)

Iran's National Olympiad on Astronomy and Astrophysics

Ranked first nationally.

Elite Recognition

Iran's National Elites Foundation

Recognized by Iran's National Elites Foundation since 2018.