Anubhav M.

Experience

• 

  Fidelity Investments

  Aug 2020 - now

  • Lead Developer of a new application designed to generate and manage customer budgets, providing real-time tracking of spending against budget thresholds by aggregating data from various sources. Orchestrated deployment on Kubernetes for optimal scalability and reliability.• Led the migration of an API from a legacy source to an improved one, managing a smooth transition while in production. Developed thorough testing and rollout strategies to minimize disruption and maximize efficiency.• Led the end-to-end development of a comprehensive application for generating customer financial insights, overseeing everything from data gathering processes to building big data processing jobs, APIs, cloud-based data storage, and integration with downstream systems like Snowflake and UI teams.• Facilitated architecture and technical discussions to design a feature for aggregating data from various sources to calculate customer net worth.• Provided mentorship and guidance to new team members, assisting with onboarding and offering technical support across the team's diverse portfolio of applications. Show less • Lead Developer of a capability to generate categorized spending insights for customers, a feature subsequently integrated into multiple frameworks and now a core component of Fidelity’s Spending experience.• Developed a REST-based application for high-performance bulk writes to AWS DynamoDB using AWS SDK, achieving high TPS and ensuring proper data quality checks.• Performed big data processing of customers' financial data using Spark to generate proactive insights, utilizing EMR clusters on AWS.• Built informative Splunk and Datadog dashboards, in use for over 2 years, aiding the team in production support, traffic monitoring, and application TPS measurement.• Developed a machine learning model to intelligently generate spending recommendations based on customers' transaction history. Show less • Developed a machine learning-driven anomaly detection mechanism as part of Fidelity's CKSI (Customer Knowledge & Strategic Insights) team. Utilized Seasonal & Trend Decomposition and ARIMA models to detect anomalies in customer transactions.• Led the migration of over 50 Informatics ETL software workflows to a newer version, ensuring a seamless transition with minimal business impact.• Managed the cloud migration from on-premises to AWS ECS for a crucial customer-facing API. Established CI/CD pipelines to streamline delivery processes.• Implemented critical data updates to enhance customer experiences. Show less

  • Lead Software Engineer

    Mar 2023 - now

  • Software Engineer

    Sept 2021 - Feb 2023

  • Associate Software Engineer

    Aug 2020 - Aug 2021