AI Developer

Experience

AI/ML Team Lead (Senior AI/ML Engineer) – Ahura Artificial Intelligence Co (2024-08-01 – )

• Built and deployed an end-to-end ML infrastructure using Kubernetes, Docker, and

OpenStack Swift, integrating object storage with shared GPU compute clusters

(NVIDIA) to support scalable training, inference, and data pipelines.

• Fine-tuned and optimized multiple LLMs for domain-specific applications in finance

and petrochemistry using Hugging Face Transformers, PEFT, and LoRA; achieved an

average 22% accuracy improvement on specialized NLP tasks.

• Implemented RAG workflows using LangChain, LLMs embeddings, pgvector, and

OCR models such as Tesseract, enabling dynamic retrieval, document chunking, and

context-aware generation for enterprise search and Q&A systems, supporting real

time search over 1K+ documents with <1s response time.

• Designed and implemented AI Agent systems using LangGraph, Model Context

Protocol (MCP), and event-driven orchestration; enabled autonomous task

planning, memory management, multi-agent collaboration, and tool-augmented

reasoning across distributed environments.

• Led a team of 4 junior engineers; reduced development time by 25% through

improved DevOps workflows and structured code reviews.

November 2020–August 2024

AI/ML Engineer

GreenWeb Co. (IranGPU SBU), Tehran, Iran

GreenWeb, through its IranGPU division, provides GPU-accelerated cloud computing

services to AI researchers and startups in Iran.

• Designed and managed a scalable AI/ML development platform, integrating

industry-standard frameworks such as TensorFlow, PyTorch, and Scikit-learn to

accelerate experimentation, prototyping, and deployment of machine learning

models.

• Developed automation scripts and Ansible playbooks that cut infrastructure setup

time from 3 hours to 20 minutes.

• Engineered and optimized Containerized-based ML infrastructure, utilizing Docker,

and Kubernetes to enable reproducible and automated deployment of end-to-end

ML pipelines. Improved developer velocity and system reliability across distributed

AI workloads.

AI/ML Engineer – GreenWeb Co (2020-11-01 – 2024-08-01)

• Designed and managed a scalable AI/ML development platform, integrating

industry-standard frameworks such as TensorFlow, PyTorch, and Scikit-learn to

accelerate experimentation, prototyping, and deployment of machine learning

models.

• Developed automation scripts and Ansible playbooks that cut infrastructure setup

time from 3 hours to 20 minutes.

• Engineered and optimized Containerized-based ML infrastructure, utilizing Docker,

and Kubernetes to enable reproducible and automated deployment of end-to-end

ML pipelines. Improved developer velocity and system reliability across distributed

AI workloads.

AI/ML Engineer – PikPik (Startup) (2019-02-01 – 2020-11-01)

• Engineered a visual product search engine that enhanced user experience. Applied

computer vision methods with OpenCV and deep learning using MXNet to enable

intuitive, image-based product discovery, boosting user engagement by 15% and click

through rates by 20%.

• Built and deployed scalable classification and clustering models using real-world product

data collected from Digikala, a major e-commerce platform. Developed a reliable

inference API using MXNet and PyTorch to serve models with high accuracy and

performance in categorization tasks

Web Developer – Industrial Technology of Mahan (2016-09-01 – 2019-02-01)

Delivered a critical CMS website solution that empowered the company with seamless

publishing capabilities for services and articles, improving content dissemination

efficiency. Developed the platform using PHP, WordPress, HTML, CSS, and JavaScript,

ensuring an engaging and accessible digital presence