Jan 2023 – Apr 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• Currently leading a team of 10 full time engineers.
• Delivered 2 Big data analytics reports using Spark and Azure for the Intune Endpoint Analytics cloud product. These reports monitor the CPU, RAM and Battery performance of users.
• Delivered a powershell scripts scheduling system which allows users to schedule scripts.
• Delivered a centralized search system which allows users to use a single search bar to search for all entities in Config Manager.
• Delivered an external notifications feature which integrated the Config Manager product with Azure Logic Apps to display their job statuses inside Config Manager.
• Delivered a major security enhancement project which enhanced the Token Validation process. This involved the upgrade of more than 100 Nuget packages and involved changes to more than 1000 code files. During this project, I led a team of 15 engineers across multiple teams.
• Delivered more than 150 security enhancements in the Configuration Manager product over the last 1 year.
• Led the development on multiple features of the Microsoft Config Manager (SCCM) product which is used to manage end user’s devices. This product manages 100’s of millions of user devices.
• Led the development on the Administrator Console UX as well as the Administrator microservice.
• Led the development on the Config Manager Application lifecycle and the Software Center features.
• Led the Hotfix patch build and release process. These Hotfixes are used to release critical fixes for the Config Manager product.

Oct 2021 – Dec 2022 · 1 yr 2 mos · Bengaluru, Karnataka, India

• I was leading a Backend Engineering team consisting of 14 engineers.
• I report directly to the CPTO of our division.
• Owner of our division's backend platform’s uptime and reliability. Ensured 99.5% uptime.
• I also ensured good stakeholder management.
• Delivered a Kafka queue based order creation system. All our orders are created
• using this real-time system.
• Delivered a major project in the backend architecture which allowed usto
• operate from multiple warehouses. Now we are operating 2 warehouses and this has
• improved the user experience.
• Delivered a major improvement in the marketplace feature which enables users
• to return their marketplace products directly to the respective third-party sellers. This also
• allowed them to track their returned products

Aug 2019 – Sep 2021 · 2 yrs 1 mo · Gurugram, Haryana, India

• I was leading the Search and Relevance team at Wynk Music and Airtel Xstream which are part of the Airtel group.
• 1. Delivered a unified search experience combining the Autosuggester functionality with the Search functionality. Resulted in the session wise CTR improving from 37% to 67%.
• 2. Delivered a new Named Entity Recognition microservice to identify entities in a query.
• 3. Delivered a new Deep Learning based spelling correction microservice using Keras and Python.
• 4. Currently leading the development of a unified search backend using Python and Java

Mar 2015 – Aug 2019 · 4 yrs 5 mos · Noida, Uttar Pradesh, India · On-site

• Developed a Tag Entity Recommendation System using collaborative filtering, Spark, Scala, Amazon EMR and Amazon S3 and processed 300 GB of traffic data.
• Developed a Reviews Topic Modelling system using NLP technologies.
• Developed an Analytics System which analyzes Naukri.com resume data and then merges it with Shiksha.com's educational domain data.
• Developed Shiksha.com's Consumer Analytics System. Some of the technologies used by me in this project are Apache Spark, Amazon AWS EMR, AWS S3, Elasticsearch and PHP. Total amount of data processed using Apache Spark is over 240 GB.
• You can see the analytics system at :- https://www.shiksha.com/analytics/ShikshaTrends/trendsHomePage
• Developed the Shiksha Student Predictor Tool using Machine Learning technologies like Keras, TensorFlow and Deep Learning. This tool takes as input a student's GRE score and percentage and outputs a short list of universities along with probabilities.
• Worked on the Shiksha Assistant project where I developed a Deep Learning based Doc2Vec model.
• I worked on the Search Engine Analytics and the Search Query Entity Recognition system at 99acres.com.
• I worked on technologies like Apache Spark, Apache Zeppelin, Scala, PHP and Mysql. I also worked on Apache Spark's performance tuning which resulted in a 10X improvement in the running time of one of our workflows. The time taken went down from 15 hours to 1.5 hours
• Developed the first version of 99acres.com's search engine analytics system. This system uses a central data store to get detailed analytics about the search engine’s performance. I built the data pipeline from scratch using PHP, MySql and AWS S3. This system takes data from 4 different data sources and makes unified parquet files. These parquet files are loaded and around 100's of queries are run on them to generate various metrics.
• I built a project recommendation system based on Collaborative Filtering using Apache Spark, EMR and S3

Jan 2012 – Feb 2015 · 3 yrs 1 mo · New Delhi Area, India

• I worked on Search Engines and Recommendation System design and development. I also worked extensively on backend technologies like Apache Solr. I have worked on Big Data analytics technologies like Hadoop and Pig. At LinkedIn I worked extensively with Ruby, Ruby on Rails, Java and AWS SQS.
• I worked on transitioning the recommendation system from a Solr based system to a Collaborative Filtering based recommendation system. The Collaborate Filtering system used Apache Pig.
• I also worked on a Duplicate Document Removal Engine which removes duplicates from a list of documents. This duplicates removal engine is a REST API based on Java.

Aug 2010 – Dec 2011 · 1 yr 4 mos · Greater Chicago Area

• Worked on developing a new Semantic Role Labeling based Text Clustering algorithm. Semantic Role Labeling is a Natural Language Processing technique which specifies the arguments of a verb in a sentence. It is a shallow parsing technique which uses Data Mining and Machine Learning.
• Areas of research:
• Text Mining, Data Mining, Natural Language Processing, Semantic Role Labelling, Shallow Parsing
• Worked with Prof. Dr. Philip Yu (http://www.cs.uic.edu/PSYu/) as a researcher. He has 1286 research publications in Computer Science which is the 3'rd highest in the world. See this link (http://dblp.uni-trier.de/statistics/prolific1.html)

Jan 2008 – Dec 2011 · 3 yrs 11 mos · Greater Chicago Area

• I worked on website design and systems support. The departments I worked in :-
• 1) Department of History, UIC
• 2) Department of African American Studies, UIC
• 3) Department of Pediatrics, UIC