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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff AI Engineer
In the last 5 years I have mostly focussed on building innovative algorithms using my knowledge in machine learning, optimization algorithms, and realtime analysis for conversational AI technology at the Interactions. Previously in my PhD, I designed and implemented a “Cognition-based Cloud Offloader” prototype with the output of a book, a U.S. patent, a variety of technology demos in business, a book chapter, and several published research articles. • 10+ years experience in optimization algorithms and applied modeling, machine learning and deep neural networks, graph theory, statistical data analysis, natural language processing, and mobile computing (edge analysis and IoT applications), • Professional interests in the applications such as Health Care, Conversational AI, Augmented Reality, IoT, Automotive Industry, and Mobile Cloud Computing • Strong technical expertise on optimization techniques (heuristic, greedy, LP/MINLP, convex, Lyapunov, sub-gradient technique, and stochastic gradient descent), machine learning(supervised/unsupervised learning, reinforcement learning) , dynamic queuing, stochastic processes, resource management, and rapid prototyping of real-time systems • 5+ years working as AI Scientist in the Interactions • 2 internships working on learning algorithms • Deep Learning Frameworks: PyTorch, TensorFlow, Keras • Strong programming skills (Python, SQL, Java/Android, Matlab/Octave, C++) • Strong network skills: AWS/ Amazon EC2, ElasticSearch, OpenStack, and Linux • Conduct whole of a project cycle from developing ideas, applying theoretical modeling, and design of optimization algorithms to practical realization of solutions through rapid prototyping
Stevens Institute of Technology
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering
January 1, 2012 – January 1, 2017
Iran University of Science and Technology
Master's degree, Electrical, Electronic and Communications Engineering
January 1, 2009 – January 1, 2012
Iran University of Science & Technology
Bachelor's degree, Electrical, Electronics and Communications Engineering
January 1, 2004 – January 1, 2009
Rasa
Staff AI Engineer | Customer Success Engineering
January 1, 2026 – Present
Hughes
Principal Data Scientist
February 1, 2024 – January 1, 2026
Washington DC-Baltimore Area · On-site
Express Joy LLC
Principal AI Scientist, Co-Founder
January 1, 2023 – February 1, 2024
Washington DC-Baltimore Area · Remote
Interactions LLC
Principal Inventive Scientist
July 1, 2022 – January 1, 2023
Interactions LLC
Senior Inventive Scientist
July 1, 2018 – July 1, 2022
Interactions LLC
AI Engineer
August 1, 2017 – July 1, 2018
Dynamic Spectrum LLC
PhD Intern
June 1, 2015 – September 1, 2015
New Jersey
Dynamic Spectrum LLC
PhD Intern
June 1, 2014 – September 1, 2014
New Jersey
Stevens Institute of Technology
Guest Lecturer
September 1, 2013 – December 1, 2014
Stevens Institute of Technology
Innovation & Entrepreneurship Doctoral Fellow
August 1, 2012 – May 1, 2017
IUST
Graduate Teaching Assistant
August 1, 2010 – June 1, 2011
WCR Lab at IUST
Research Assistant
January 1, 2010 – July 1, 2012
Digital Communication and Control System Lab at IUST
Wireless Engineer Intern
September 1, 2007 – August 1, 2009
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on AI, Data Science, and research within academic and corporate settings. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Data Scientist' and 'AI Engineer' roles, which typically involve more advanced modeling and less routine data analysis. This suggests a potential mismatch in the expected day-to-day responsibilities and scope for a pure Data Analyst role. The breadth of skills is strong in AI/ML, but specific data analyst tools and methodologies are not explicitly detailed in the experience descriptions. The candidate's experience level (21 years) is very high for a typical Data Analyst role, potentially leading to overqualification or misalignment with role expectations.
Soft Skills & Operational Fit
The candidate's extensive academic and research background suggests strong analytical and problem-solving skills. Roles as Principal and Staff AI/Data Scientist indicate leadership potential and ability to work on complex projects. However, without specific project descriptions or team collaboration details, assessing operational fit and soft skills like teamwork and communication is challenging.