Sep 2022 – Jul 2025 · 2 yrs 10 mos

• Enhancements to the automation suite – the on-prem and private cloud delivery
• mechanism for all UiPath products.
• Extended the automation suite to support OpenShift and operate on a shared
• cluster with limited permissions.
• Owning COGS improvements, and product and pipeline stability.
• Developed an LLM-based Slack bot, and enterprise search.
• Results:
• Awarded first prize in a hackathon for the Slack bot, which is now being used by many teams.
• Awarded first prize in a hackathon for implementing a hybrid approach to make customers on-premises connected to uipath cloud
• Reduced COGS by 70% by implementing SQL and VM optimisations.
• Reduced error rates and flakiness of automated tests and pipelines to under 1%.

Oct 2018 – Sep 2022 · 3 yrs 11 mos

• Designed an developed AI Center from PoC to production - an MLOps platform to productionize ML models in cloud & onPrem.
• Developed activities to interact with multiple components of AI Center in RPA workflows
• Designed and developed interaction for our ML teams to make our models publicly available with appropriate licensing
• Conceptualized and contributed to development in making AI Center installable as bring your own cluster
• Optimized delivery approaches and provided multiple options that fit each customers need.
• Implemented pluggable mechanism to load model binary inside existing images to reduce deployment time and to make AIC work in un-privileged mode
• Created multiple extensible pipelines for automating tasks - CI/CD, image building & promotion, Integration testing and testRails tracking
• Designed a granular RBAC framework inside AIC and contributed to migration of existing permissions from Orchestrator to AIC
• Handling CVEs and security bugs
• Results:
• Owning the highest revenue generation piece of AI Center & optimized that experience
• Filed 2 patents regarding optimized delivery approach
• Reduced size of model binaries by 80% for air-gapped delivery
• Reduced deployment time by upto 85%

May 2013 – Sep 2018 · 5 yrs 4 mos · Bangalore

• Development, management and release of BrightWood Adventures and Mosterama Planet
• Performing optimizations, crash fixes and user issue resolutions in the game
• Creating and performing A/B tests
• Developing features with complete specifications and test case creation
• Results:
• Reduced crash rate to less than 1⁄4th of previous level
• Performed A/B testing to find optimum price point for in-app sales
• Implemented one of the best performing features (in terms of monetization) of the game
• Developed feature to make it easier for any game to be put in auto-pilot mode

Jul 2011 – Apr 2013 · 1 yr 9 mos

• Strategy Analysis and Implementation
• Developed and implemented strategy for VaR reduction. Strategy reduces company’s risk
• significantly under severe stress conditions
• Working on strategies benefitting from earnings announcement
• Day to day analysis of the global hedge book
• Risk Analytics
• Developed Intraday PnL and exposure report generation using Stata and Python
• Managing risk aggregation and monitoring tools
• Implemented risk exposure generation for US Cash using Barra factor model
• Developed limit reports for different businesses
• Dashboard Design for APAC Front Office
• Developed Xcelsius dashboard for performance monitoring and scenario analysis
• Managed stake holders expectations and maintained excellent communication between
• users, developers and iDWH team
• Secured 2nd
• place in CIO Challenge as a result of our efforts

May 2010 – Jul 2010 · 2 mos

• Developed Tools for scanning and locating Bluetooth Devices providing detailed device description
• Conceptualized a Bluetooth sniffer - device to intercept and decode Bluetooth traffic

May 2009 – Jul 2009 · 2 mos

• Designed and tested Jammers for different frequency ranges and power ranges
• Improved designs of RF Detector & Radiation Shield by 20%