Nov 2023 – Aug 2025 · 1 yr 9 mos

• PubSub Event Framework (AWS SNS/SQS, Java, Nexus, DLQ): Architected a reusable event
• pipeline (R2D2 Events) that streams pricing & business events to analytics via SNS/SQS with
• deadletter queues.Published plugandplay JARs to internal Nexus so any Java microservice can adopt the
• framework in minutes.
• Discount & Eligibility Rule Engine (jEasyRules, Java, Spring Boot): Replaced 1000row
• underwriting grids with declarative rules editable by business users through a UI.Optimized
• parsing/expression trees to cut ruleload time at startup; enabled sameday pricing experiments and
• regionlevel plan toggles across India.
• Competitor Pricing Pipeline (AWS StepFunctions, Pandas+Parquet, S3, Redis): Automated
• ingestion & transformation of thirdparty CSVs; vectorized Pandas to cut batch time by 4. Built
• twophase sync to PostgreSQL + Redis cache with consistency safeguards.
• A/B Testing PriceChange Mechanism (Redis, Java): Enabled realtime price experiments: assigns
• users to test buckets, serves variant prices, and pricelocks quotes in Redis for quote validity duration.

Aug 2021 – Oct 2023 · 2 yrs 2 mos

• Analytics Platform Integration (Grafana): Create a uniform way to collect critical data points
• from dierent parts of application in a request-response cycle, utilised ThreadLocal in spring for this
• purpose. Coded the data pipeline end-to-end taking care of exception scenarios, schema violations.
• Made sure the data was clean, Utilised ThreadLocal in spring to collect data from dierent parts, later
• utilised in creating Grafana visualisations. Via grafana visuals, we could could monitor business metrics
• and set up appropriate alerts to inform us in case of any discrepancies.
• Vehicle Data Ingestion (Apache Camel, Spring Scheduler, S3): Scheduled ETL that ingests
• specs for newly launched vehicles, giving Acko first to market quotation capability.

Jun 2020 – Jul 2021 · 1 yr 1 mo · Hyderabad, Telangana, India

• Speed to Market : Worked as a backend engineer in S2M (Speed To Market) Team which speeds up the delivery of insurance products. Wrote 3 microservices from scratch.
• Products service which stores the insurance products in Graph data structure format and is the heart of our product. Also devised the logic for graph storage and retrieval.
• Metadata-service which manages the messaging functionality and file upload and download service.
• Utility-service which manages RBAC mechanism, favourites functionality, audit-trial and 3rd party API integrations.
• Solved some tricky problem statements like creating a custom multi-part file uploader in java for spring cloud azure functions where the typical Multipart file support of spring doesn't work. Also handled data loss scenario.
• Found out a bug in Spring Azure Cosmos driver for Azure cosmos DB which concerned the update functionality of Azure Cosmos DB Graph API. Created a workaround for the same.
• Tech-stack : Java, Spring-Boot, MongoDB & GraphDB (Azure Cosmos DB), Azure Blob Storage, Spring Cloud Functions (Azure Functions serverless)

May 2019 – Jun 2020 · 1 yr 1 mo · Bengaluru Area, India

• User Notification on Property Downvote : Added the functionality of notifying property owners whenever the customers downvoted their property. Also coded the entire flow to verify the downvotes are valid or not.
• Tech Stack Used : Java, Play framework, Postgres, Python
• Verify Premium Pending Users: Added a small functionality to check if any user who has earlier opted to pay later, has still made the payment of not. In case if he has not paid, then deactivate his AD on the website.
• Tech Stack Used: Java, Play framework, RabbitMQ
• Data Migration Mechanism : Developed and coded a mechanism from scratch to migrate the new data or daily updated data stored in relational databases of IndiaProperty (a Quikr product) to the analytics team of Quikr so as to enable analytics.
• Tech stack used : Python, Django REST framework, Postgres, Celery, Crontab(linux)
• Projects Updation Script : Wrote python scripts scheduled in Crontab to regularly update the location of projects in IndiaProperty from QuikrHomes. The script interacted with REST APIs of one backend, reformatted the data in a proper format and updated the data on other backed by hitting appropriate REST APIs.
• Tech stack used : Python, Crontab