AI Developer

Experience

AI/ML Team Lead (Senior AI/ML Engineer) — Aug 2024 – Present

• 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 — Nov 2020 – Aug 2024

• 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) — Feb 2019 – Nov 2020

• 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 — Sep 2016 – Feb 2019

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