Apr 2023 – Mar 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

• Developing Event-Driven Applications: Implemented event-driven systems to
• support supply chain tracking services, driving real-time data flow for inventory management.
• Leveraged Google Pub/Sub for event handling, Datadog for metrics monitoring, PostgreSQL for inventory data storage, and Kubernetes for scalable service hosting.
• Led the ideation and designing of inventory tracking system. The system provides comprehensive visibility of the company's $100 million inventory and addresses critical needs of cross-functional teams like finance and operations.
• Resolved high-priority supplier conflicts on an ad hoc basis addressing an average value of $200,000 in discrepancies monthly. Used Elastic Search to deep dive and find the root cause of the system failure through application logs.
• Played a pivotal role in the tech transformation of wayfair and transition of my team into a PHP-based legacy system. Collaborated with cross border teams to ensure in depth knowledge transfer within 2 months.

Jul 2022 – Apr 2023 · 9 mos · Bengaluru, Karnataka, India

• ● Worked on maintaining and improving the Distributed Scheduling System
• of OLA called Tardis App.
• ● Tardis is responsible for handling job requests from multiple operational
• segments of the company like Ola Money, Consumer Api,taxi booking,
• payment segment, etc. Tardis is supported by Kafka for request queuing
• purposes and ScyllaDB for the database.
• ● Average requests throughput at OLA stays around 40,000 requests per
• minute with a maximum lag of 10 seconds for 99% of the requests.
• ● Worked on creating a New Distributed Scheduler to replace Tardis by
• removing the Kafka Dependency and using Cadence Scheduler instead to
• handle all the requests.

Feb 2022 – Apr 2022 · 2 mos · Bengaluru, Karnataka, India

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

• Created Helm charts for application deployment.
• Worked with Kubernetes.
• Worked on integrating functionalities like logging & alerting through Prometheus.
• Created a mailer to fetch the data from SQL database using jdbc driver and sending it via mail in the required CSV format.
• Techstack: Java, Maven, Kubernetes, Helm, Prometheus

Jun 2021 – Jul 2021 · 1 mo

• Ideated and worked on the development of end to end deep learning model development platform from scratch.
• The platform takes in various configurations as input from the user for different stages of model development and creates the complete deep learning architecture on its own for the user.
• Worked on the model engine and configuration management section of the project.

May 2020 – Jun 2020 · 1 mo · Rajasthan, India

• ● Contributed in the development of android application for operating the E-Medical Kiosk manufactured at Pyrotech.
• ● The application connects and gathers data from various health devices via Bluetooth connection using various HDP’s.

Jul 2019 – Jul 2019 · 0 mo · Lucknow, Uttar Pradesh, India

• ● Handled the UI elements of the application along with the implementation of a realtime chat feature.
• ● Worked towards the integration of Geocoder API in the android application. Geocoding was used to handle the current location of the user and get the address using reverse geocoding.

Jun 2019 – Jun 2019 · 0 mo · Noida

• ● Gained exposure in Machine Learning & AI projects that were being developed by the company for various clients.
• ● Also learned about SAP modules’ functionalities and implementation process.