Apr 2023 – Sep 2024 · 1 yr 5 mos · Mumbai, Maharashtra, India

• Working on User Onboarding Journey, Recommendations and Advisory used for onboarding new users and recommending different types of stock lists, which helps them in getting started, discovering new stocks to existing users, across various segments like ETF, Options, Equity, Single stock, Portfolio Advisory.
• Setup E2E Disaster Recovery for application, involving multiple aws components and migration strategy.
• Created rebalance/repair architecture for portfolio advisory, which helps in optimizing the advisory bucket of users.
• Used BFF (Backend For Frontend) methodology, cohort integration, versioning of APIs for application
• development, which helps in pushing UI dependency on the backend, resulting in less load on the frontend side, reducing development efforts across different platforms (Web, iOS, Android), fewer app build, and allowing product teams to experiment with different configuration and allowing them to customize as per user behaviors.
• Setup cache policies for application performance and effective locking mechanism to handle race conditions.
• Created high-level and low-level architecture design, sequence diagrams, and data flow for the application.
• Actively involved in hiring drive, took multiple interviews for various positions like SDE-1,2,3 and DE-1,2

Feb 2022 – Apr 2023 · 1 yr 2 mos · Mumbai, Maharashtra, India

• Part of Post-Trade data platform team,handling equity portfolio of customers.
• Setup portfolio application in golang, which gathers data from multiple resources like Kafka, Redis, MS Sqlservers, S3 buckets, Aurora DB, and creates live portfolio of user in real time, with maximum accuracy, low response time.
• Optimized algorithm and pipelines using pyspark and glue job to handle 100GBs of data every day which helps in deriving the holdings and Profit/Loss of millions of users. Performed DB optimizations and golang application improvements to handle 100Mil API calls per day with minimal latencies.
• Currently working on portfolio advisory, which advises particular stocks baskets to customers and creating super portfolio of user which includes Mutual funds, Small Case, ARQ, and live portfolio.
• Setup data restore policy, logs backup, dashboards, alerting monitoring using pagerduty and slack.
• Techstack: AWS(Gluejob, Stepfunctions, Lambdas, S3, ECS, AuroraDB, SQS, EventBridge), Spark, Golang, MSSql Database, Kafka, Redis, Qubole, GrayLog, Grafana.
• https://medium.com/angel-tech/portfolio-tracking-at-angelone-2a98a9e31b1b

Jul 2020 – Feb 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

• Worked as a software engineer in the Spend, Data, and Automation team. Managing Third-Party Risk management applications.
• Java (Core), JUnit testing, Hibernate, Dropwizard, PURE, Spring Boot, SQL, and No-SQL Databases
• Data Science, Machine Learning, Deep Learning
• Working in Agile/Scrum framework, Git, subversion
• Postman, IntelliJ, DB2, Gitlab.
• Microservices, AWS, Event-Driven Architecture, REST APIs.
• Member of Third-Party Risk Management Engineering team. Managing vendor onboarding applications KY3P, VRP
• (in house applications) used for vendor onboarding, risk assessment, contracting, etc.
• Maintained data flow, improved efficiency of application, created batches to consolidate data from different
• applications/resources, and exposing it through REST APIs, PURE browser(in-house application).
• Migrated legacy entitlement setup used to provide different access and roles to users.
• Working on application migration to AWS. Publishing data to Kinesis stream, lambdas for event notification,
• scheduling jobs, data pipelines to dynamodb.
• Member of Winning team at India’s Engineering Hackathon, 2021. Created workflow based automation that
• resulted in reducing business process (including multiple division/teams) from two-months to few days.

May 2019 – Jun 2019 · 1 mo · Kolkata Area, India

• Worked on a project titled "A Transfer Learning-based Intraday Stock Recommender
• A system using Deep Recurrent Neural Networks". Using different stock markets and different companies to create a unified recommender system that brings all the companies which follow the same pattern and might be related to each other as per their stock price trend.

May 2018 – Jun 2018 · 1 mo · Udaipur

• Worked on a web application "Complaint Handing System" which allows users to lodge a complaint for a particular area and it'll be automatically assigned to the respective vendor in that area. Created the frontend web forms and backend setup along with database.

Mar 2018 – Mar 2020 · 2 yrs · Rourkela

• Subject matter expert for Advanced Mathematics and Other Mathematics.