Mar 2022 – Oct 2024 · 2 yrs 7 mos · Seattle, Washington, United States · Hybrid

• > Designed and maintained Java-based services using AWS resources, deploying rules to strategically suppress offers before they went live on the Amazon website, ensuring price compliance.
• > Engineered and deployed an AWS Lambda function, utilizing CDK, to respond to SQS events, streamlining the delivery of pricing error evaluation thresholds to DynamoDB.
• > Enhanced test coverage by approximately 9% by adding several tests including unit, integration, load, and chaos tests. Leveraged AWS services like EC2, S3, and CloudWatch for streamlined system monitoring and optimization, ensuring heightened reliability.
• > Created automated monitoring and alerting systems to track resource usage patterns within AWS Services using CDK framework to enhance cost efficiency.
• > Actively managed 24/7 on-call rotations, promptly resolving tickets and addressing Price Error Prevention (PEP) service issues within a stringent 15-minute timeframe.

Jun 2021 – Aug 2021 · 2 mos · United States · On-site

• > Developed a comprehensive UI using Angular containing the features including user’s location, region, jurisdiction, service & entity. Facilitated user searches based on employee name & work division.
• > Boosted user authentication page performance by implementing lazy loading techniques, resulting in a 12% reduction in load time.
• > Worked on an Agile (Scrum) Development Team to deliver regular updates to the business team and project managers.

May 2020 – Aug 2020 · 3 mos · Gurgaon, Haryana

• > Automated the SSO profile management system and built configuration scripts for on-shore clients using Pega RPA tool.
• > Created ML algo using decision trees to automate the personalized emails for the clients about their product plans and renewals resulting in a 20% reduction in effort and saving 14 hours per week.
• > Implemented a spam detection system using Logistic Regression to enhance email security. Achieved 97.3% accuracy by applying ridge regression, and improved data quality through NLP processes like tokenization, stemming, and stopword removal.

Mar 2019 – Apr 2019 · 1 mo · Gurgaon, India

Oct 2018 – Aug 2019 · 10 mos · Gurgaon, India

May 2018 – Jul 2018 · 2 mos · Gurgaon,India

• Monitored the radio frequency system used in GSM technology on NETACT tool.
• Replaced the older products of BSNL with latest products of NOKIA by analyzing the future scope of the tools already being installed in the system using predictive analysis.
• Employed Naïve Bayes classifier and Long short-term memory technique for the classification of tools.
• Plotted the trends using seaborn and matplot library and processed the Big data obtained on AWS cloud server