Sep 2022 – Mar 2023 · 6 mos · Bengaluru, Karnataka, India

• Part of Notifications Engine Team, working at a junction of Data
• Engineering and Backend which handles the notifications for
• the product ( 100 million+ avg daily volume)
• Built Complete Notification Analytics Pipeline used to track the
• notifications sent , calculate the click & delivery rate and
• failures in Real Time also used for daily/weekly stats
• notifications which include LIKE SUMMARY, PROFILE VIEWS,
• FOLLOWER SUMMARY, REACTIONS, REACH.
• Pipeline consist of the following components
• + Event based Kafka Producer with required event payload
• from Backend
• + Flink Job (JAVA) to consume the raw payload from Kafka
• queue in real-time and Ingest into
• + ClickhouseDB with event
• specific transformation.
• + Designed the Data Warehouse using ClickhouseDB (Online
• Analytical Processing DB) to decrease the latency for I/O
• calls by selecting appropriate Indexing keys, Order keys
• Table Engine, Creating Views as per application.
• Building a DeDuplication pipeline to avoid duplicate notifications
• to the user and improve the content quality by Designing and
• integrating an Aerospike Cache.
• Implementing New Notifications features (Business Logic) in backend (Ktor ) in Kotlin and Java (Springboot).
• Built a pipeline for leakage detection of data, using gRPC, Athena Tables.
• Cost reduction by implementing Bulk caching method using Guava Cache, there reducing the number of I/O calls and improving the performance.
• Migrated json based pipelines to protobuf
• Debugging and resolving Production Tickets.

Feb 2022 – Aug 2022 · 6 mos

• Working on Apache Kafka Pipeline for building an event based feature.
• Campaign Manager module for business to launch promotional campaigns, recurring and one shot scheduling types
• Batch application for Enterprise operations
• State management of the application to play, pause and resume a campaigbn
• Analytics Module - TRL generation for tracking all events by implementing a publisher-subscriber pattern
• Developed advanced features for a rich omni-channel chatbot experience across RCS, ABC, SMS, MMS, WEB which includes the following
• Calendar Slots Selector
• RichCard
• RichLink
• Carousel
• RichCard Carousel
• Link Block
• Performing End to End testing of the product before release and fixing the bugs encountered.

Feb 2021 – Jan 2022 · 11 mos

• Part of Mavenir Business Monetization Platform (MBMP) in Backend & Data.
• Working on following 3 Modules as a part of MBMP
• 1. MBMP Core (Messaging & Chatbot)
• 2. CRM Module (Customer Relationship Manager)
• 3. Campaign Manager
• Focused on building Omni-channel Conversational AI Messaging product
• Spear headed the research and development for a dynamic chatbot flows using SPEL
• expressions. Developed and documented different use case possibilities.
• Integrating the Analytics Dashboard with product using Amazon quicksight.
• worked on developing and documenting the flow for an In house Identity Provider using SAML assertion.
• Working on PoCs for developing new features to be shiped in production.
• Microservices, springboot, Kafka, java, NLP, python, selenium, junit, couchbase, sql

May 2019 – Jul 2019 · 2 mos · Bangalore

• Futuristic efforts towards developing a product in battery technology for air vehicles.
• Received a pre placement offer from the company after satisfactorily completion of the work

May 2018 – Jun 2018 · 1 mo · Chennai Area, India

• Computational Data modelling
• Worked on modelling of Thermo-physical properties using Thermochemical property
• Thermo-Cal software package was used
• work published in CALPHAD conference (2019)