Jason Robinson, Phd Email & Phone Number

Everywhere, US

• Leading Engineering, DevOps, Site Reliability, Architecture, Data Science (ML), and Data Engineering teams in a B2B/B2G + B2C context
• Expanding and managing Intellectual Property portfolio; contributed to 10 published full patent filings (2 issued; see below), while managing prior, current, and planned filings
• Helping build a better future for America's global workforce

Everywhere, US

• Led Data Science, Data Engineering, Data Operations, and Data Annotation teams in a B2B/B2G + B2C context
• Enabled adoption of cloud-based Data Science/Machine Learning via Databricks platform
• Drove efficiency improvements, including throughput of a complex real time streaming pipeline
• Expanded and managed Intellectual Property portfolio
• Helping build a better future for America's global workforce

Palo Alto, CA, US

• Built and released mobile applications for personal optimization and managing connections
• Built and launched several scalable SaaS products, including a cryptocurrency trading simulator, career management platform, and Solo CRM (replaced by M Connections)
• Built and developed main site and internal sites
• Full-stack engineering, architecture, devops, product development, design, marketing
• Web development, site and web app: Node.js, React JS, HTML, CSS, Bootstrap, JS build tools, etc.
• Mobile development: React Native (prototyping), Flutter (deployed), and Android/iOS native (Kotlin/Android deployed)

• Founded Multimodal LLC with the vision of helping companies understand and extract the maximum value from their data, while reducing the time to insight and realized return
• Closed for business August 2021, finalized dissolution February 2022

San Francisco, CA, US

• Built Growth / Marketing Data Science team from scratch
• Focused on paid acquisition, retention/engagement, automated bidding, AB and market-based testing, and other data-powered marketing activities
• The Growth Data Science team data delivered several key products, including customer segmentation, lifetime value, and customer activation models

Chicago, IL, US

• Developed (from scratch) and taught an on-campus business-focused data science course, for the Master of Science in Law (MSL) program
• This intensive course combines data visualization, machine learning algorithms, and data science business applications

Mountain View, CA, US

• Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform
• Hands-on manager: pushed production code for scalable data products

Mountain View, CA, US

• Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform
• Prototyped and integrated a robust automated signal detection methodology with probable cause suggestions across disparate data sources
• Prototyped and integrated an automated data engineering methodology including interpolation and extrapolation of disparate time series data
• Initial work included bespoke analyses of secure data for potential customers
• Primarily used Python data science stack (e.g. NumPy, SciPy, Pandas, etc.) with MongoDB for prototyping and integration into production pipelines
• Leveraged Cython and profiling to improve code performance and reduce memory footprint

San Francisco, CA, US

• Developed custom pricing models for web and mobile ads at both the city/state and ZIP levels to optimize revenue
• Built predictive and inferential churn models to optimize paid offerings and improve retention
• Built a recommendation system to align sales opportunities with advertising inventory, enhancing sales effectiveness
• Generated analyses supporting Trulia's IPO roadshow
• Performed data mining, machine learning, and predictive modeling primarily related to Trulia's Business Services group, including Product and Sales/Marketing
• Worked with a variety of internal customers, including product, sales/marketing, and executives; frequently interacted with engineering and data warehousing groups

• Provided technical and business advice to a stealth-mode alternative and renewable energy company primarily focusing on the Indian market

• Aggregated, normalized, and analyzed proprietary data from VentureSource to support fundraising activities for an early-stage venture capital firm
• Investigated data from several other financial databases, proprietary data providers, and industry sources
• Primarily focused on analytics, including extensive manual data cleansing and deduplication
• Internship

• Screened 50+ early stage venture capital deals across a broad range of sectors, from high tech to consumer products
• Created competitive overviews, investment profiles, and full due diligence packages
• Developed an extensive university/national lab technology database
• Updated and enhanced fund marketing and investment materials
• Internship (7 mo)

Santa Clara, California, US

• Selected for management role in upcoming technology cycle

Santa Clara, California, US

• Led high-profile/high-impact technology development forums (45 nm -- 2 years, 32 nm -- 1 year), generally consisting of 12-24 members, resulting in successful technology transfers with improved performance.
• Developed next-generation microprocessor production processes as the primary technology development owner for multiple toolsets
• Worked in Portland Technology Development (PTD), which was chartered with keeping Intel one generation ahead
• Directed and mentored several technology development technicians and engineers, as well as many manufacturing engineers and technicians from worldwide locations during technology transfers; also directed field service.
• Selected semiconductor processing equipment (large, automated toolsets) and materials, to enable new capabilities and reduce cost
• Transferred processes to Intel's international high volume manufacturing organization for two technology nodes (65 nm, 45 nm), across multiple toolsets

Berkeley, CA, US

• Developed and successfully applied a challenging energy-related chemical dynamics technique
• Published 4 articles in physics journals, listed below
• Collaborated with researchers from UC-Santa Barbara
• Focused on chemical physics and reaction dynamics

Berkeley, CA, US

• Performed rigorous experiments in chemical physics and reaction dynamics, with a focus on energy-related systems
• Led team to relocate/upgrade complex custom scientific equipment (inherited from Nobel Laureate Yuan T. Lee), improving capabilities, performance, and sensitivity
• Analyzed intricate data using C/C++, quantum computational software, and other custom software
• Published 4 articles (3 in physics journals, 1 in JACS), listed below
• Spent time in Taipei, Taiwan collaborating with researchers at the Academia Sinica
• Operated, maintained, and upgraded electronics, lasers, and high vacuum systems

Athens, GA, US

• 2+ years Physical Chemistry research, including 1 year Honors research – Honors Thesis, 2 publications (laser-based methods for nanotechnology investigations, including studies of clusters and fullerenes)
• 2 quarters Organic Chemistry experience (including synthetic chemistry and capillary electrophoresis)
• 3 quarters Honors Social Psychology research, 1 quarter Cognitive Psychology research – 1 publication

Doctor Of Philosophy - Phd, Physical Chemistry

Master Of Science - Ms, Computer Science

Master Of Business Administration - Mba, Finance, Management & Strategy, Decision Sciences, Analytical Consulting

Graduate Certificate, Data Mining And Applications

Bachelor Of Science - Bs, Chemistry

Bachelor Of Science - Bs, Psychology