JP Data is a market research, advisory and consulting firm with focus on AI. Advised executive management on product, market, business and technology aspects of AI and computer vision. Worked on many interesting projects of two weeks to two years in duration that include:- Due diligence for start-ups: both technical as well as business side- Creating MRDs/PRDs for hardware and software products- Performing competitive analysis- Developing go-to-market strategy- Developing company and product strategy- Building market models and forecast for specific products- Evaluating market forecast and performing financial due diligence- Technology evaluation of AI companies for investors- Performing use case analysis and identifying best product niche- Developing white papers and other materials for product marketing and messagingAlso published several reports on AI chipsets, data center infrastructure, AI driven storage and AI driven compute. List is available on www.jpdata.co. Successfully delivered and completed contracts for ~20 Fortune 500 companies as well as prominent start-ups.

NanoSemi is born out MIT research and develops mathematical augmentation technology for NNs. It is possible to gain 10X or more reduction in MAC using the technology at the same accuracy level. The technology can be targeted towards any compute platform (FPGA, ASIC, CPU or GPU) and is available to early adapters.NanoSemi was acquired by MaxLinear in Sept 2020.

Specified and managed Wave's AI application software stack. The team consisted of ~50 people in different geographic locations and built a video analytics application for retail market.

Developed reports covering computer vision, deep learning chipsets, AI Infrastructure, Video Analytics and 3D Technologies. Over the years built a reputation as an expert and a credible analyst in the field. Quoted by Bloomberg among others.Published reports include: - Computer Vision - technologies and markets. Evaluated traditional vs CNN based approaches, pre-processing, techniques for identification and classification, mapping onto different hardware and software, libraries and frameworks. Analyzed popular use cases for robotics, automotive, consumer, enterprise and surveillance markets. Mapped them onto current products and applicability. Identified market barriers, drivers and trends. Developed market model and forecast. Profiled key players, ecosystem and relative strength.- Deep learning chipsets - technology, markets and challenges. Reviewed deep learning technologies and their relevance to CPU/GPU/ASIC/FPGA. Identified technology challenges pertaining to software and hardware and power/performance tradeoffs. Compared and contrasted needs for training vs inference. Analyzed use cases in enterprise, consumer and government market. Developed market model, segmented by power, chipset type, performance and power. Identified market gaps and ecosystem challenges. - AI Hardware Infrastructure (Compute, Storage and Network and Cloud platforms): AI Servers, PCIe cards, AI driven storage and networking, Software development infrastructure. Tradeoffs and technical challenges. Market analyst, forecast and model for next ten years.Other published reports include: 3D sensing and Video Analytics. Recent conference presentations include:- Challenges with AI algorithm acceleration in Hardware (2018)- Computer vision in automotive: applications, use cases and future (2018)- Enabling autonomous vehicles via AI (2019)- The 'power play' on AI edge (Edge Conference)

Helped board and executive management with product specification and market strategy.

Specified and architected ultra low power AI chipset solution to what is now known as TinyML market. Defined hardware accelerator, software application/use cases and library needs for ultra low power Edge use cases. Developed and delivered complete board that ran use cases using the AI/ML framework. Built use cases. Developed literature. Evangelized platform to customers.Redpine Signals was acquired by Silicon Image in 2020.

Evaluated start-up business plans. Performed due diligence of start-up from technology, market and business point of view. Developed subject matter expertise in IoT, wearables, automotive and robotics companies. Recommended companies for investment.