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I am Mohammad Hossein Hashemi, a results-driven Machine Learning Engineer specializing in deep learning, computer vision, and large language models. Over 5+ years, I have architected and deployed production-grade AI solutions, built end-to-end ML systems, and created distributed data pipelines that drive real business impact. Based in Yerevan, I collaborate with teams worldwide to turn complex data into actionable insights, from real-time forecasting to enterprise-grade LLM platforms. My work spans real-time systems, edge AI, and research collaborations with universities. I enjoy tackling challenging problems in computer vision, reinforcement learning, and language models, and I thrive in environments that blend research with practical deployments. In addition to industry roles, I contribute to academic research and mentor students to build production-ready AI applications.…I am Mohammad Hossein Hashemi, a results-driven Machine Learning Engineer specializing in deep learning, computer vision, and large language models. Over 5+ years, I have architected and deployed production-grade AI solutions, built end-to-end ML systems, and created distributed data pipelines that drive real business impact. Based in Yerevan, I collaborate with teams worldwide to turn complex data into actionable insights, from real-time forecasting to enterprise-grade LLM platforms. My work spans real-time systems, edge AI, and research collaborations with universities. I enjoy tackling challenging problems in computer vision, reinforcement learning, and language models, and I thrive in environments that blend research with practical deployments. In addition to industry roles, I contribute to academic research and mentor students to build production-ready AI applications.

Mohammad Hossein Hashemi

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Mohammad Hossein Hashemi, a results-driven Machine Learning Engineer specializing in deep learning, computer vision, and large language models. Over 5+ years, I have architected and deployed production-grade AI solutions, built end-to-end ML systems, and created distributed data pipelines that drive real business impact. Based in Yerevan, I collaborate with teams worldwide to turn complex data into actionable insights, from real-time forecasting to enterprise-grade LLM platforms. My work spans real-time systems, edge AI, and research collaborations with universities. I enjoy tackling challenging problems in computer vision, reinforcement learning, and language models, and I thrive in environments that blend research with practical deployments. In addition to industry roles, I contribute to academic research and mentor students to build production-ready AI applications.…I am Mohammad Hossein Hashemi, a results-driven Machine Learning Engineer specializing in deep learning, computer vision, and large language models. Over 5+ years, I have architected and deployed production-grade AI solutions, built end-to-end ML systems, and created distributed data pipelines that drive real business impact. Based in Yerevan, I collaborate with teams worldwide to turn complex data into actionable insights, from real-time forecasting to enterprise-grade LLM platforms. My work spans real-time systems, edge AI, and research collaborations with universities. I enjoy tackling challenging problems in computer vision, reinforcement learning, and language models, and I thrive in environments that blend research with practical deployments. In addition to industry roles, I contribute to academic research and mentor students to build production-ready AI applications.

Available to hire

I am Mohammad Hossein Hashemi, a results-driven Machine Learning Engineer specializing in deep learning, computer vision, and large language models. Over 5+ years, I have architected and deployed production-grade AI solutions, built end-to-end ML systems, and created distributed data pipelines that drive real business impact. Based in Yerevan, I collaborate with teams worldwide to turn complex data into actionable insights, from real-time forecasting to enterprise-grade LLM platforms.

My work spans real-time systems, edge AI, and research collaborations with universities. I enjoy tackling challenging problems in computer vision, reinforcement learning, and language models, and I thrive in environments that blend research with practical deployments. In addition to industry roles, I contribute to academic research and mentor students to build production-ready AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Freelancer

June 1, 2025 - January 1, 2026

Architected real-time forecasting systems for crypto and gold using Binance API and WebSocket streams for sub-second latency processing. Implemented multi-horizon forecasting with ensemble models (LSTM, GRU, Transformer, N-BEATS, TFT, Prophet, XGBoost). Engineered feature pipelines with technical indicators (TA-Lib) and rolling statistics. Optimized inference with CUDA, ONNX, and TensorRT. Built real-time monitoring dashboards for drift detection and performance tracking. Implemented automated retraining with Optuna and MLflow. Designed C++ optimization algorithms for Maximum Clique Problem using Genetic Algorithms and RL with Python bindings via PyBind11.

AI Engineer at Rayan Pezhohan

November 1, 2023 - June 1, 2025

Architected real-time LLM platform for real estate using GPT-3.5/4, LangChain, Haystack, and local models (LLaMA, Falcon) for structured queries and multi-use workflows. Implemented RAG with FAISS and Milvus, reducing hallucinations and improving factual accuracy. Designed low-latency inference pipelines with optimized prompting, context management, and batching for concurrent requests. Built containerized backend with Docker, Django, FastAPI, and PostgreSQL; developed React frontend; benchmarked cloud and local LLMs; implemented caching and API optimizations with Redis and Celery; enforced enterprise security with JWT/OAuth2 and multi-tenant access control. Trained YOLOv8 models for license plate detection and character recognition.

Computer Vision Engineer at Arooj

December 1, 2021 - November 1, 2023

Engineered Hand Vein Detection Device using U-Net (89% IoU), SegNet, and YOLOv5 on Raspberry Pi for edge inference. Developed Shrimp Head Cutter System using OpenCV and image processing with >95% real-time accuracy in industrial settings. Reduced inference time by 30% through quantization, pruning, and multi-threaded optimization while maintaining accuracy.

AI Researcher at Liverpool John Moores University

July 1, 2024 - March 1, 2026

Lead deep learning research in healthcare (infant cry analysis) and animal behaviour, focusing on signal processing, feature extraction, and model optimization. Published in IEEE Transactions on Affective Computing (Q1) and currently submitting seven additional Q1 papers.

AI Mentor at Persian Gulf University

August 1, 2025 - February 1, 2026

AI & Python Mentor delivering instruction in Python and AI concepts; guidance on hands-on projects to build strong foundations for students and junior researchers. Mentored student teams in developing and deploying AI applications and backend systems, guiding projects from concept to production.