Jun 2023 – Aug 2025 · 2 yrs 2 mos · Amsterdam, North Holland, Netherlands

• Managing a 14 people charter spanning across 3 pods :
• Fraud Platform Engineering : backend tooling and infra for fraud detection and prevention
• Fraud Networks : graph based ML feature engineering system
• Fraud Data Platform : data pipelines and workflows
• The stakeholders include product, engineering, ML and operations people across 5 fraud verticals (payments, marketing, suppliers, accounts takeover, trust & safety)

Mar 2022 – May 2023 · 1 yr 2 mos · Amsterdam, North Holland, Netherlands

• Tier 0 critical platform services for fraud detection and prevention

Jul 2021 – Jun 2025 · 3 yrs 11 mos

• Mock interviews of technical coding and system design rounds

Sep 2020 – Feb 2022 · 1 yr 5 mos · London, England, United Kingdom

• Engineer in LogDevice team, which maintains a highly available distributed storage system.
• Responsibilities included designing and implementing logs metadata storage service, driving the deployment process, leading SEV management efforts, and a few security and efficiency projects.
• Also was an Intern Manager in Q3 2021 where my job was to onboard, mentor and manage a SWE intern.

May 2020 – Oct 2022 · 2 yrs 5 mos

• 1. Conducting mock interviews of coding rounds
• 2. Taking live webinars on Introduction to Competitive Programming, Roadmap for Data Structures and Algorithms, SDE Interview Preparation
• 3. Reviewing new courses on System Design, Low Level Design

Jun 2018 – Aug 2020 · 2 yrs 2 mos · Amsterdam Area, Netherlands

• Working on engineering end to end infrastructure of scalable, robust & secure compute services for powering graph features in detection and prevention of payments fraud (stolen CC and chargeback), incentives fraud, fake accounts and partner fraud (fake property).

Jun 2017 – May 2018 · 11 mos · Amsterdam Area, Netherlands

• Worked on:
• 1. Personalizing search experience of users on our core product using data science models
• 2. Building machine learning services for automated feature engineering in both online and offline world
• 3. Optimizing jobs and setting up monitoring and alerting on our A/B Experiment Tool batch pipeline

Jun 2016 – Jul 2016 · 1 mo · Hyderabad, Telangana, India

• Worked on automation of a framework to perform load tests for different client and server host configurations and aggregate performance metrics like latency, throughput and hardware utilization, to predict scaling estimates

Feb 2016 – Mar 2016 · 1 mo · Gurgaon, India

• Worked in the Algorithms and Intelligence team on developing a backend framework to improve the performance accuracy as well as efficiency of geo tagging of places by Google Geocoding API

Dec 2015 – Jan 2016 · 1 mo · Noida Area, India

• Worked in the Deep Learning team on news articles recommendation and app reviews classification using doc2vec (paragraph vector) embeddings for representing the context in documents/sentences