Nov 2024 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Remote

• Advising an early stage AI startup working on an interesting idea to improve collaboration between researchers

Jul 2022 – Nov 2024 · 2 yrs 4 mos · Bangalore

• Led the AIOps initiative at Atlassian; defined the long term technical vision and strategy for differentiation with major competitors; involved in roadmap planning, design and code reviews, collaborating with external teams, stakeholder communication etc.
• Filed 14 patents in the area of AIOps

Feb 2021 – Jul 2022 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

• Led a team of data scientists, engineers and MLOps to build the next generation AIOps product
• Worked with cross-functional teams like Sales, Product Management, Product Delivery and Engineering to define and approve ML based product features
• Instrumental in addition of 2 key overseas AIOps accounts (US and Singapore)
• Coordinated with pre-sales and product management to understand competition landscape and setting the product roadmap and vision with respect to AI/ML
• Got a mention in Forrester report as an upcoming AIOPs player (first time for the company).
• Filed invention disclosures in the area of AIOps

Apr 2020 – Feb 2021 · 10 mos

• Partnered with RedHat Engineering team to improve observability of OpenShift Container Platform (OCP)

Sep 2018 – Feb 2021 · 2 yrs 5 mos

• Led a collaboration between Yorktown and India research labs to build state-of-the-art anomaly detection and fault localization system based on insights obtained from application logs. This work is part of IBM's AIOps product offering.
• Research lead for Cognitive Assignment Engine (CAE) – a tool for IT helpdesk support automation. The specific functionalities provided by the tool are ticket routing, answer recommendation and incident similarity. CAE is currently adopted by clients across multiple geographies and has successfully served more than 2.5 million tickets in production.

Oct 2014 – Aug 2018 · 3 yrs 10 mos

• Designed and implemented key functionalities for Chatbot QA app for tech-support. The work involved extracting information and relationships from Wikipedia and Technical Reference Manuals and populating them in Knowledge Graph. Also conceptualized, designed and implemented a generic benchmarking tool for evaluation of chatbot QAs.
• Designed and developed scalable methods for detecting anomalies in runtime application logs for IBM analytics product. The anomaly detection technique uses insights derived from execution behaviour models mined from distributed application logs.

Apr 2011 – Apr 2014 · 3 yrs

• Designed scalable solutions for Yahoo!'s next generation traffic management software using predictive analytics.
• Implemented a new resolver-ip based proximity routing algorithm to deliver better and faster experience for Yahoo users. This algorithm is currently used by Flickr.
• Designed, prototyped and implemented a strategy to reduce video/image serving latencies. The design involved research on collecting and storing monstrous volume of beacon data from video clients, analyzing them offline on the grid using statistical and ML based methods and then predicting latencies based on client's location.

Apr 2009 – Mar 2011 · 1 yr 11 mos

Nov 2006 – Apr 2009 · 2 yrs 5 mos

• Developed new features for Netscreen Security Manager (NSM). In particular I did some optimizations on the NSM profiler query engine which made frequently used queries faster by a factor of 10x.

Oct 2004 – Nov 2006 · 2 yrs 1 mo

• Designed and developed new features for SystemVerilog & VCS-MX (simulator for mixed language designs). Most notable contribution was support for separate compilation of testbench with mixed designs (Verilog+VHDL).

Sep 2002 – Sep 2004 · 2 yrs · United States · On-site

• Researched on Embedded Systems and Location Aware Computing