Founded an artificial intelligence based company to design products based on ambient computing. Backed by Google Start-ups and NVidia Inception program. • Developed visual anomaly detection product that enables organizations to reduce labor intensive repetitive inspection processes at scale (<1ms/image), with higher accuracy (19pts above human inspection), tail event memory (2500 different classes), repeatability and consistency.• Commercialized handwriting analysis software (SaaS) specializing in unstructured & semi structured data• Designed and developed ambient computing hardware to explore speech and image stimuli

Enabling entrepreneurs, venture capitalists and private investors with constructing a portfolio strategy and providing them with large company corporate development services• Developed AI playbook including operationalization and deployment of models into production• Designed image and speech recognition models • Constructed investment thesis, turnaround plans, valuations and financial projections• Worked with entrepreneurs and investors in establishing valuations and negotiating terms• Conducted due diligence on target companies and monetization of hidden value propositions • Enabled entrepreneurs to optimize resources, develop a long term strategy and construct a comprehensive operations plan (play book)

Tasked with creating the 3-5 year operations strategy, including capital expenditures and business process improvements, and developing and executing the tactical business plan. Responsible for communicating, deploying and monitoring the $100M+ cost saving programs with key stakeholders. • Defined and executed the worldwide hybrid manufacturing footprint strategy for the next five years representing a 7x growth in LED production across four key market segments. • Constructed the divesture/carve-out of selected operations for a joint venture with Penang Government• Increased revenue by 11% and manufacturing throughput by 27% by driving higher productivity of existing assets• Reduced production lead times from 14 to 8 weeks through business process optimization of manufacturing processes and better utilization of existing assets• 2013 Operations plan identified to generate $1B in revenue (25% increase), create positive EBITA while increasing our production capacity to 2B units (45% increase)• Constructed ‘throttle’ strategy for key client to provide LED modules by integrating the entire supply chain and employing subcontractors • Facilitated quarterly operations meetings to mobilize strategy in 13 week activity plans and resource alignments with the top 75 Lumileds global leaders leading to $120M of savings

Generated solutions to business strategy and top line revenue growth problems for the senior leadership team. Responsible for enabling the Systems & Technology Group (STG) to attain its financial targets and developing an operational strategy aligned with the corporate 2015 vision. Directly responsible for deploying key programs tied to meeting the 2015 EPS vision. • As trusted advisor to STG($20B), provided business insights through data analytics and deep data mining of financial, marketing/economic cycles and operations information• Created models that predicted and improved STG sales productivity by 18%, sales revenue by 12% (yty) and operating margin by 0.3%; through better alignment of the sales resources to opportunities and prioritization of resource limited projects• Modeled business risk scenarios and assisted in risk mitigation planning • Enabled STG to model business performance and planning for the next five years and its influence on earnings per share. Defined operational metrics and performance milestones to increase IBM EPS to $20 by 2015

Advised senior executive team on utilization of STG Microelectronics assets [$2.9B]. Responsible for creating key industry alliances to further propel the ‘Common Platform’ manufacturing initiative and develop an industry ecosystem. Worked on key divestures within STG• Conducted competitive analyses on the semiconductor industrial landscape for optimal capital and resource allocation• Developed and adapted the long term manufacturing strategy and realigned the joint development strategy for leading edge nodes• Deal Experience [Under NDA’s]: constructing detailed financial and economic valuations; created detailed term sheets; Negotiations of contractual details; assembled and maintained data room• Experience with divestiture of assets and deconstruction of a joint venture

• Reviewed business development opportunities and technical portfolio of target companies• Managed cross-functional joint technical team between IBM, Samsung Electronics and Chartered Semiconductor to collaborate on joint process development and address product and technology specific issues• Partnered with multi division teams to evaluate and implement outsourcing contracts• Received 3 Management Recognition Awards (Technical), 3 Peer Recognition Awards

• Advised Chartered Semiconductor Device Team and Electrical Test Team• Led cross discipline intra-division task force to address technology limitations in 90nm• Served as lead Device Engineer for IBM Games initiative to Sony, Microsoft and Nintendo• Partnered with multi division teams to evaluate and implement outsourcing contracts; manage supply chain; and resolve/negotiate technical issues • Received Technical Achievement Award [General Management Recognition] for successful qualification and transfer of technology to Chartered Semiconductor [XBOX360]

Technology definition owner and functional test engineer• Managed 114 unique part numbers in 3 technology derivatives while meeting yield targets and 90%+ first design wins• Performed root cause analysis for circuit limited yield and implementation of new processes• Reduced final wafer test time by 12% on early development projects

• Developed and deployed real time multivariate analysis tools to predict and manage production yields and predict hardware performance to ensure delivery to clients• Reduced physical defect detection time by 15% with no impact to work in progress• Worked with AMAT on refining the first generation ADC code to distinguish between possible fail signatures and physical irregularities