May 2024 – Jan 2026 · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

• Working with the Cloud-Integrations Team, responsible for ingesting metrics from various cloud-providers into New Relic.
• Currently leading a re-architecture of infrastructure maps, collaborating with AWS to provide the complete visibility and relationships between cloud-resources in thier account.
• Optimized the performance of critical services in the metrics ingestion pipeline by converting the synchronous API calls to asynchronous queue based mechanism reducing oncall incidents by 90%
• Taking active part in managing oncalls for the team supervising scalability and throughput for tier-1 client-facing services for the organization.

Feb 2022 – May 2024 · 2 yrs 3 mos · Gurugram, Haryana, India · On-site

• Worked for the re-architecture of the invoicing systems in Amazon, transitioning from a monolithic architecture to a microservices-based invoice ingestion pipeline.
• Developed and managed two crucial low latency and highly scalable microservices within the invoice-ingestion pipeline
• Designed new systems and refactored existing codebase to improve on-boarding of new businesses on distributed invoicing pipeline.
• Worked on load testing, resilience testing and scaling of multiple Tier-1 services for Q4 Peak 2023
• Mentored and guided junior engineers and interns, establishing milestones, ensuring timely delivery of results, and conducting thorough code reviews and design evaluations.

Jul 2020 – Feb 2022 · 1 yr 7 mos · On-site

• Enhanced the ETL data-processing pipeline by incorporating airline-specific features, new data elements, and integrating the Cognos BI tool
• Developed a Python microservice from scratch to generate custom reports for airlines on various schedules.
• Modified the database schema and data pipeline to maintain a comprehensive history of transactions for each record.
• Automated the end-to-end deployment process by implementing infrastructure-as-code using AWS CloudFormation.

Jan 2020 – Jul 2020 · 6 mos · On-site

• Worked with Commercial Analytics Team to improve the application architecture and ETL workflow for the product.

May 2019 – Jun 2019 · 1 mo · Patna Area, India · On-site

• * Under the guidance of Dr. Asif Ekbal, Assistant Professor, IIT-Patna, implemented Transfer Learning and Multi-Tasking Deep Learning Models which aims at Predicting Event-Argument Text in of Hindi News-Data. Acheived an overall accuracy of 80 % with different Event-Argument Tags. Based on NLP, Word-Embeddings, LSTM’s, Python, Keras.

Oct 2017 – Oct 2018 · 1 yr · Patna Area, India · On-site