Arash Ashtiani Email & Phone Number

Vancouver, Bc, Ca

Vancouver, British Columbia, Ca

Committee was responsible for over $5 million co-investments in emerging AI opportunities.

Langley, British Columbia, Ca

- Defined and delivered product roadmap for data science products, reporting directly to the CTO.- Established a new data science team from the ground up to 8 staff. Crafted and executed the data science and machine learning mission; solely responsible for building the team covering those disciplines.- Designed and deployed several products including real-time wireless telemetry, Computer Vision, Crop mathematical modeling, Weight Prediction Deep Learning, and Climate prediction models.- Maintained the integrity of ML models by developing MLOps pipelines for the development, deployment, and maintenance of ML models.- Led several collaborations with external Agritech and Engineering companies to accelerate product development for sensory tools and computer vision.

Vancouver, British Columbia, Ca

- Delivered several full-stack data science tools to major Automotive companies and local reputable Universities. - Brought 2 cloud-based products to market.- Built and led a team of 8 local and remote developers, designers, and DevOps.

North Vancouver, British Columbia, Ca

- Created a successful new line of business focused on building automation.- Developed a business plan, pricing model, and GTM strategy for a metering platform.- Hands-on technical PoC and MVP development to prove the proposed business plan.

- Designed and implemented a QA/QC tool analyzing cloud-point surface scans of parts at millimeter and micron scales. The resulting tool saved the company over $600,000 in labor costs per year- Designed and Delivered an innovative image-based micro-crack detection model for rapid quality assurance.- Led the design and implementation of a simulation tool and corresponding physical testing unit in collaboration with a local engineering company.--Selected project-- * Fuel cell Plate characterization: Full-stack data analysis tool for rapid quality assessment, reduced turnover by 10X* Plate weld detection: Full-stack image processing tool for micro-weld quality assessment, fully automated the quality assessment process* Anode pulsation: fatigue failure prediction model, full-stack data analysis model to detect micro pulsations and predict part failure

- Designed and implemented an innovative full-stack data analysis tool for use by non-technical, research staff in the analysis of electron tomography images. - Delivered 10+ Python data analysis apps for internal teams in the automotive industry.- Founded and led the image and data analysis team at AFCC.

Victoria, Bc, Ca

Research: Quantitative Imaging of Multi−component Turbulent Jet, funded by NSERC/H2CAN network

Technology Commercialization

Master'S Degree, Mechanical Engineering/Computer Science

Machine Learning Specialization

Bachelor Of Applied Science - Basc, Mechanical Engineering Minor Computer Science

Online Specialization, Computer Programming/Programmer, General

Certificate Of Completion, Image And Video Processing