Nov 2017 – Dec 2020 · 3 yrs 1 mo

• 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘣𝘢𝘤𝘬𝘦𝘯𝘥 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 & 𝘰𝘧𝘧𝘭𝘪𝘯𝘦 𝘥𝘢𝘵𝘢 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨 𝘮𝘰𝘥𝘦𝘭𝘴 𝘧𝘰𝘳 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘳 𝘴𝘺𝘴𝘵𝘦𝘮𝘴
• Currently: Whole Page Optimization for revenue team.
• Previous:
• 𝗕𝗶𝗻𝗴 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵
• 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵: Created personalized user-activity-based graph and leveraged it to develop bots integrating with Cortana, Telegram, Skype etc.
• 𝗕𝗶𝗻𝗴 𝗿𝗲𝗰𝗶𝗽𝗲𝘀 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻: Built offline recommendations models to recommend recipes for a given entity by building a similarity index on ingredients to ingest in knowledge graph and serve them using Azure-based microservice.
• 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵: Built a web-job to serve personalized news recommendations to enterprise customers. Onboarded data for our v1 product by creating a highly connected data set & working on it's ontology & schema mapping. Created tools to convert user data to ingestible format. Used same processes later to onboard actual customer data and serve product recommendations using SPARQL. Conducted competitive analysis of our product vs. other graph DBs on usability, security, RBAC, performance and data-format compatibility.
• 𝗕𝗶𝗻𝗴 𝗙𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀
• 𝗢𝗳𝗳𝗹𝗶𝗻𝗲 𝗷𝗼𝗯 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗲𝗻𝗴𝗶𝗻𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Reduced overall execution time for system jobs by replication execution across DCs. Scaled multiple jobs by parallelizing read and write operations while batch-writing to Azure blobs
• 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Perform canary deployment, monitor livesite failures & performance dashboards. Developed DRI tools to get/ modify tenant info online. Authored offline jobs to automate tenant decommissioning

Nov 2014 – Nov 2017 · 3 yrs

• Cross-platform application developer as part of core Excel apps team. Worked extensively on backend code sharing across platforms (Windows desktop, mobile, iOS, Android).
• Shipped multiple features from design to production: phonetic text, number formatting, find for Bing knowledge graph integration
• Served as performance, automation & branch driver to improve processes & product health. Significantly improved noise-to-signal ratio of automation test suite by attacking long-lingering failures.

Oct 2013 – Aug 2014 · 10 mos · Madison, Wisconsin Area

• Software developer on the Patient Placement Team:
• Built workflows such as admission, discharge & transfer to help bed planners, working on both client & server components

May 2012 – Jul 2012 · 2 mos · Shrivenham, United Kingdom

• Developed heuristics for analyzing social networks in Ministry of Defense, UK based on parameters such as centrality, visualization and clustering. Recommended software packages alongside developing training methods for social scientists to facilitate understanding of selected packages. Recommendations approved by Centre of Defence Acquistion, Cranfield University.

Jun 2011 – Jul 2011 · 1 mo · Bengaluru Area, India

• Developed a novel approach using dependency graphs within a specified set of constraints and demonstrated with a working prototype for automatically computing migration alternatives for control applications. Results published in IEEE conference.

Jun 2010 – Aug 2010 · 2 mos · Delft Area, Netherlands

• Developed algorithm to drastically reducing the computational complexity from exponential to polynomial in problem size (number of search nodes) for a combinatorial problem involving solution of number of LP's. Also implemented the entire model to extend proof for Ruckle's conjecture. Published in online Delft reports.