Mar 2023 – Oct 2024 · 1 yr 7 mos · Madison, Wisconsin, United States · On-site

May 2022 – Aug 2022 · 3 mos · Menlo Park, California, United States

Feb 2021 – Jul 2021 · 5 mos · Bengaluru, Karnataka, India

Nov 2018 – Feb 2021 · 2 yrs 3 mos · Bengaluru Area, India

• Led the backend team developing products and features mentioned below for Ola Finacial Services (OFS)
• Ola Money SBI Credit Card: Implemented end-to-end backend system for production deployment from scratch. Developed microservices, set up the modules and data systems, coordinated with multiple stakeholders including QA, Sentinels, Product, Business and SBI Engg. Team.
• Reward Program and Ledger System: Implemented secured, fault-tolerant, robust and effective ledger system for reward processing, calculations and crediting for the credit card. Tech solution met banking standards as well as followed modern technologies.
• CKYC for Ola Money Wallet and Postpaid Users: Architectural designing and solutioning for onboarding, digital submission of photo and documents, manual verification and penny drop flows.
• Referral Platform: Designed the architecture, layout flow diagrams and implemented modular, testable and efficient code for the central referral platform of OFS. Led the backend single-handedly and was responsible for end-to-end development starting from tech-solutioning to successful deploying and running for multiple products on production.

Jul 2016 – Nov 2018 · 2 yrs 4 mos · Noida Area, India

• Managing Technology Stack in AdTech Division.
• Development of clean, designed, testable, efficient and reusable code for serving native ads and personalized content feeds through Columbia Traffic Network (an ad plus feed serving platform).
• Understanding adtech fraud problem and inventing probable solutions for its prevention.
• Excellent product knowledge of programmatic Adtech stack including DSPs, SSPs, DMPs, Adservers,Content Ads, Native Ads, Retargeting, Audience Network, Ad Mediation Platform, Cookie Syncing, Frequency Capping , Generalized Second Price Bidding, etc.
• Implemented Logistic Regression model for predicting click probability of ads for user recommendation using Spark Mlib.
• Alternate model using Softmax function (Multinomial Logistic Regression) was also developed.
• Implemented Click-through Attribution model using Logistic Regression.
• Working on multiple technologies such as Java, Python, Apache Spark, Kafka, Amazon EMR and S3 (AWS), HDFS, Redis, MySQL.

May 2015 – Aug 2015 · 3 mos · India (Google Summer of Code 2015)

• Selected for GSoC 2015 under the organization JBOSS Community.
• Developed interface for plugins in JAVA.
• Plugins included coding statistical algorithms for the data analysis using RxJava.
• Classloader and Test classes were coded to test the algorithms using JUnit.
• REST API was used to access data at runtime.
• Project was merged with the existing parent software on GitHub with proper documentation.

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

• Project included computer vision and image processing techniques in addition to machine learning.
• C++ on OpenCV platform was used for processing the data and developing human trajectory
• analysis algorithms.
• Both single camera view and disjoint multiple camera views were taken into account.
• The Peninsular

May 2014 – Jul 2014 · 2 mos · Noida Area, India

• I worked on a summer internship project which consisted of three parts-
• Beat Plan Formulation- Formulated best beat plan for a typical FMCG company using Google Maps APIs and k-means clustering algorithm. Backend coding was done in JavaScript.
• Data Visualisation
• Website Development- Assisted in developing dynamic part of the company's website which was
• under construction then.

Jan 2014 – Apr 2014 · 3 mos

Dec 2012 – Apr 2013 · 4 mos

Sep 2012 – Jan 2014 · 1 yr 4 mos