Jun 2024 – Dec 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

• Led engineering initiatives to modernize warehouse master data systems at Flipkart, enhancing backend architecture.
• Architected and modernized three core microservices, achieving a 25% increase in operational efficiency.
• Scaled Apache Airflow, developing custom modules that improved job scheduling efficiency by 40%.

Jul 2022 – Jun 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

• Worked on end-to-end feature development and data infrastructure for Flipkart’s warehouse management systems, focusing on real-time insights, automation, and operational intelligence.
• Developed backend microservices powering warehouse operations using Java, Spring Boot, and MySQL, improving system stability by 20%.
• Designed a Python-based data quality library integrating BigQuery and internal platforms, accelerating data validation by 70% and reducing anomalies by 15%, facilitating GCP migration.
• Built a VR digital twin of warehouse workflows using Vue.js and Three.js, paired with an AR-guided picking system powered by object detection, cutting operational errors by 15%.
• Engineered high-throughput data pipelines using Apache Flink, Spark, Kafka, and Google Cloud, improving reporting latency by 35% for key business insights.

Jan 2022 – Jun 2022 · 5 mos · Gurugram, Haryana, India

• Worked on improvements & new features in the product across different microservices - in Ruby on Rails, GoLang as well as the frontend components in React.
• ProCapital (SaaS) - Wrote scripts to extract company financials, litigations & credit ratings - to analyze the loan risks.
• Revamped the testing pipelines & automated flutter build flows. Integrated SonarQube for Code Quality checks.
• Enhanced the Webpack configs and Brought down build times by 74%, and bundle sizes by 50%, Upgraded to Webpack 5.
• Worked with the sales & product teams to find seasonality & other reasons for enhancing customer retention and categorizing customers, targeting customers to increase GMV.

Jan 2022 – Jun 2022 · 5 mos · Singapore, Singapore

• Worked on SenticNet Computing Projects under the supervision of Asoc. Prof. Erik Cambria

Jun 2021 – Aug 2021 · 2 mos · Bengaluru, Karnataka, India

• Worked on S4 Hana, Created an application to automate workflows for internal development use to increase development productivity.
• Automation scripts using Vyper and Frontend on Fiori(UI5)
• Enabling SAP S/4 HANA Cloud CFD with Intelligent Data Management

Mar 2021 – Jun 2021 · 3 mos

• Built tools to optimize and bring down usage costs in GCP.
• Gained experience working with time-series data in TimeScale DB.
• Developed Instance (VM) Scheduling which reduces weekly costs by ~65%, self-learning service.
• Integrated GCP Secrets Manager; Designed the workflow of the Recommendations Hub.
• Optimized backend functions using goroutines, reduced run times by up to 90%.

Jul 2020 – Nov 2020 · 4 mos

• Gained Experience Working with Technologies such as goLang, Vue.js, Google Cloud Platform, Google Maps Platform, PostgreSQL, Node.js, Docker.
• Implemented various components in the SaaS application for offerings by GCP such as VM instances, Infrastructure Hierarchy View, BigQuery, Budgets, StackDriver, Static IPs, Kubernetes, Recommendations, Maps Platform, etc.
• Created Swagger Documentation for the endpoints for internal use.
• Helped in the implementation of request authorization.

Jun 2019 – Jul 2019 · 1 mo · Bengaluru Area, India

• Gained practical experience working with technologies such as Vue.js, Flask, MongoDB, Websockets, ReviewShake API, Yelp API, Google Geolocation & Geocoding APIs.
• Developed a Flask and Vue.js based application that provides data processing, using multiple APIs for the sales team; (Sole objective was to minimize the efforts of the sales team by automating their daily workflow)
• Developed a dynamic report generation application while handling large amounts of data, (Goal was to create a GUI where various filters can be applied to generate the needed report)