AI Engineer with 10+ years in Machine Learning & Large Language Models
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Assessing your cultural and operational fit
Highly skilled AI Software Engineer with extensive experience in developing and deploying large-scale AI solutions, including recommendation engines, price prediction systems, and AI agents. Proficient in machine learning, deep learning, natural language processing, and data engineering, with a strong background in MLOps, cloud platforms, and distributed data processing. Passionate about leveraging AI to solve complex problems and drive innovation.
Iran University of Science and Technology
Master of Science · Artificial Intelligence
August 1, 2020 – June 30, 2023
Qazvin Islamic Azad University
Bachelor of Science · Information technology
August 1, 2014 – June 30, 2019
AsanBar (Butane Industrial Group)
AI Software Engineer
January 1, 2025 – Present
India
Bale messenger
AI Software Engineer
July 1, 2024 – January 1, 2025
India
Rubika Super App
AI Software Engineer
November 1, 2021 – June 1, 2024
India
Iran University of Science and Technology
Research Assistant at Data Mining Laboratory
November 1, 2020 – October 1, 2023
India
MRL (Mechatronics Research Laboratory) - QIAU
C++ Developer
October 1, 2015 – January 1, 2019
India
LangSmith Essentials
Unknown
May 20, 2026 – Present
Introduction to LangChain
Unknown
May 16, 2026 – Present
LangChain Essentials
Unknown
May 11, 2026 – Present
Agentic AI
DeepLearning.AI
December 5, 2025 – Present
Machine Learning
Coursera
September 5, 2021 – Present
C#
Sololearn
June 18, 2018 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (AsanBar, Bale messenger, Rubika Super App) and a research assistant role at a university demonstrates adaptability and a broad range of experiences. Their work on large-scale user-facing applications (Rubika, Bale) and innovative AI solutions (Agentic AI, Graph RAG) aligns well with a dynamic, growth-oriented environment. The continuous pursuit of certifications in cutting-edge AI topics like LangChain and Agentic AI indicates a strong drive for learning and staying current with industry trends, which is a positive cultural fit for innovation-driven teams.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through the development of complex AI agents and recommendation systems. Their experience in automating code reviews and scaling systems suggests an operational mindset focused on efficiency and reliability. The diverse project portfolio indicates adaptability and a proactive approach to leveraging new technologies like Agentic AI and Graph RAG.