May 2021 – Present · 4 yrs 10 mos

Jan 2019 – May 2021 · 2 yrs 4 mos

Jan 2018 – Dec 2018 · 11 mos

Apr 2017 – Dec 2017 · 8 mos

Sep 2014 – Apr 2017 · 2 yrs 7 mos

• First round appointee to Distinguished RSM role at IBM Research.
• Focused on the design of, and technologies for, IBM's real-time cognitive solutions - leading architecture and implementation of real-time, high-throughput cognitive solutions for a number of business challenges faced by IBM customers.
• Responsible for the performance and advanced analytics for IBM Streams - a distributed real-time analytics platform which provides technology differentiation for IBM solution portfolio across the industries.
• Consultancy and guidance to teams across IBM building some of the most demanding Big Data solutions for their clients.

Apr 2013 – Sep 2014 · 1 yr 5 mos

• Responsible for the design of, and technologies for, IBM's Big Data solutions for telecommunication industry and on creating technology differentiation for IBM products targeted at the telecommunication industry. Led the architecture and implementation of real-time (less than 50 ms), high-throughput (100B+ records/day), in-memory analytics for data generated by mobile networks.
• Provided guidance to IBM customers building some of the most demanding Big Data solutions for their enterprises pushing the boundaries of real-time analytics, and in the process, creating transformational value for their enterprises.

Oct 2006 – Apr 2013 · 6 yrs 6 mos

• Responsible for producing technology breakthroughs for IBM's portfolio of network management products and services. My team delivered many prototypes and product components including Watson Real-Time Data-to-Decision Platform which provided IBM customers with an ability to gather real-time insights from their network traffic using deep packet inspection (DPI). Other achievements by my team included exploitation of FPGA and other hardware acceleration technologies for wireline-speed analytics and development of many analytics toolkits.
• Developed a "point-in-polygon" algorithm for Ellipsoidal surfaces to challenge a 40+ years old status-quo of approximating the Earth as a planar surface to perform geospatial calculations. This discovery yielded geospatial algorithms that could perform geospatial calculations on large, global datasets with an elegance, efficiency, and accuracy unmatched by the previous approaches, and led to the development of Watson Spatiotemporal Library. Watson Spatiotemporal Library ships with several IBM products, solutions, and services providing a key differentiator in IBM offerings.
• Program Director, International Technology Alliance. Responsible for managing blue-sky research in Information and Network Sciences by a multi-national consortium of twenty-three iacademic and industry partners.
• Fostered a high-performance team by providing clarity in goals, eliminating process inefficiencies, and effective delegation.

Jul 2000 – Oct 2006 · 6 yrs 3 mos

• Fundamental research, advance prototyping, and technology transitions to IBM products in the areas of Autonomic Computing and Security & Privacy.
• Lead for developing theory for and implementation of Autonomic Computing policy evaluation and conflict resolution engines. This work was incorporated as a component technology in several IBM products and was a recipient of IBM Research Division Award (2003) and IBM Outstanding Technical Achievement Award (2008).
• Dakshi's work from this time-period in the areas of security and privacy is now standard reference and is taught as such in books and lectures on anonymity, side-channel analysis, and privacy-preserving data mining.