Amir Jamali
Computer VisionAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI & Machine Learning Engineer | Generative AI | LLMs | Computer Vision
Senior AI & Machine Learning Engineer with 10+ years of experience building production-scale AI systems across computer vision, deep learning, and multimodal AI. Proven expertise in developing real-world perception systems, including detection, segmentation, and large-scale data-driven model training. Experienced in designing and deploying LLM-powered applications and prompt engineering workflows, including structured prompting, few-shot design, prompt optimization, and automated evaluation to improve quality, consistency, latency, and cost. Built retrieval-augmented generation (RAG) and agent-based workflows and delivered scalable, API-first AI services using Python and FastAPI. Strong track record of owning end-to-end AI solutions from problem definition and modeling to production deployment and monitoring.
Concordia University
Master's Degree, Computer Science
September 1, 2020 – May 1, 2023
Amirkabir University of Technology - Tehran Polytechnic
Master of Science - MS, Artificial Intelligence
January 1, 2012 – January 1, 2014
K. N. Toosi University of Technology
Bachelor of Science - BS, Electrical, Electronics and Communications Engineering
January 1, 2001 – January 1, 2006
L’ACADEMIE
AI & Machine Learning Instructor (Part-Time)
January 1, 2026 – Present
Hybrid
Rival Solutions
Senior AI & Machine Learning Engineer
September 1, 2023 – Present
Quebec, Canada · Hybrid
Concordia University
Research Assistant
September 1, 2020 – September 1, 2023
Quebec, Canada
Faraadid Vision
Computer Vision & Machine Learning expert
May 1, 2015 – January 1, 2020
Tehran
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong commitment to continuous learning through multiple degrees and certifications in Deep Learning. Their diverse roles, from research to industry and instruction, suggest adaptability. However, the lack of detailed project descriptions makes it difficult to fully assess their collaborative style or initiative beyond technical contributions. The target role of Computer Vision aligns well with their career trajectory.
Soft Skills & Operational Fit
The candidate's experience as an instructor suggests strong communication and mentoring skills. Their research assistant role indicates an ability to work independently and contribute to academic projects. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.