Rushikesh Godase profile photo 1 on Tal

Rushikesh Godase

Software Engineer II @ Morgan Stanley Cap. Int. | Ex-Tekion, Gupshup | Java | Spring Boot | Kafka | AWS | Distributed Systems | Microservices | System Design

Pune/Pimpri-Chinchwad Area

4+ years of work experience

MSCI Inc.
Jul 20251 yr 4 mosPresent

Pune District, Maharashtra, India

Wealth, Risk and Portfolio Management | FinTech, Data & Analytics Engineering • Brought search database calls to near zero by building an Apache Solr autocomplete service for financial securities, with a CDC-free batch sync from Oracle. • Modernized a legacy multi-tenant JSP application into modular Spring Boot services on Java 17, releasing module by module with zero production disruption. • Lowered REST API P95 latency by 80%+ (5s to under 1s) and sped up usage reports 60% by rewriting SQL subqueries as CTEs and tuning indexes and stored procedures. • Made tenant onboarding repeatable by provisioning a serverless tenant environment on GCP with Terraform. • Accelerated delivery across the SDLC with Claude Code and Cursor for design, refactoring, and test generation, validating every change in code review and tests.
Tekion Corp
Jun 20252 mosJul 2025

Bengaluru, Karnataka, India

Finance & Insurance (F&I) | Automotive Retail Cloud
Gupshup
Jun 20241 yrMay 2025

Mumbai, Maharashtra, India · Hybrid

Campaign Manager | Conversational Cloud & Analytics • Raised ingestion throughput 4x to 40M records/min and trimmed CPU and memory use about 60% by replacing in-memory workbook parsing with streaming reads and multithreading over partitioned Kafka topics, with batch-level failure detection and re-trigger. • Achieved 99.99%+ availability by designing PostgreSQL disaster recovery on Amazon RDS Multi-AZ. • Processed 260M events/day by owning the Java event-generation stage and co-developing the 6,000 TPS real-time messaging exit point, with full production observability. • Reduced storage cost by automating archival of millions of MongoDB records to S3 Glacier
Gupshup
Jul 20222 yrsJun 2024

Mumbai, Maharashtra, India · Hybrid

Personalize | Cusomer Data Platform • Lifted read throughput about 40% by developing customer-profile microservices on MongoDB and PostgreSQL with Redis serving frequent reads. • Hardened REST APIs with Spring Security, JWT authentication, and RBAC, plus AES data encryption. • Automated deployments to Kubernetes on AWS EKS with Helm charts and GitLab CI/CD. • Reached 90%+ code coverage by authoring 400+ JUnit and Mockito unit tests.
Crest Data Systems
Jan 20223 mosMar 2022

Pune District, Maharashtra, India

Rushikesh’s AI Stack

claude code
claude code
cursor
cursor
gemini
gemini
github copilot
github copilot
mcp
mcp
ChatGPT
ChatGPT

Education

Savitribai Phule Pune University

Bachelor of Engineering, Computational Science

Savitribai Phule Pune University

20184 yrs2022

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Headline

Software Engineer II @ Morgan Stanley Cap. Int. | Ex-Tekion, Gupshup | Java | Spring Boot | Kafka | AWS | Distributed Systems | Microservices | System Design

About

I’m a Backend Software Engineer with 4.5+ years of experience building and scaling backend systems for product-based companies. My core expertise is in Java and Spring Boot, with hands-on experience designing and developing distributed, event-driven systems using Kafka and Apache Flink. I’ve worked across microservices, data pipelines, APIs, search, databases, and AWS, with a strong focus on scalability, reliability, and performance. At MSCI, I work on modernizing and evolving backend systems while solving complex product and engineering problems. Previously at Tekion and Gupshup, I worked on backend platforms handling high-volume data and real-time event processing. I enjoy going beyond making things work - understanding how systems behave at scale, identifying bottlenecks, simplifying architecture, and building solutions that are reliable in production. Currently exploring deeper areas of distributed systems, system design, cloud architecture, and AI/agentic systems. Always interested in challenging backend and system design problems.

Location

Pune/Pimpri-Chinchwad Area

AI stack

claude code

cursor

gemini

github copilot

mcp

ChatGPT

Work experience

Associate (SDE 2) at MSCI Inc., Jul 2025 - Present · 1 yr 4 mos, Pune District, Maharashtra, India, Wealth, Risk and Portfolio Management | FinTech, Data & Analytics Engineering • Brought search database calls to near zero by building an Apache Solr autocomplete service for financial securities, with a CDC-free batch sync from Oracle. • Modernized a legacy multi-tenant JSP application into modular Spring Boot services on Java 17, releasing module by module with zero production disruption. • Lowered REST API P95 latency by 80%+ (5s to under 1s) and sped up usage reports 60% by rewriting SQL subqueries as CTEs and tuning indexes and stored procedures. • Made tenant onboarding repeatable by provisioning a serverless tenant environment on GCP with Terraform. • Accelerated delivery across the SDLC with Claude Code and Cursor for design, refactoring, and test generation, validating every change in code review and tests.

Software Engineer II at Tekion Corp, Jun 2025 - Jul 2025 · 2 mos, Bengaluru, Karnataka, India, Finance & Insurance (F&I) | Automotive Retail Cloud

Software Engineer 2 at Gupshup, Jun 2024 - May 2025 · 1 yr, Mumbai, Maharashtra, India · Hybrid, Campaign Manager | Conversational Cloud & Analytics • Raised ingestion throughput 4x to 40M records/min and trimmed CPU and memory use about 60% by replacing in-memory workbook parsing with streaming reads and multithreading over partitioned Kafka topics, with batch-level failure detection and re-trigger. • Achieved 99.99%+ availability by designing PostgreSQL disaster recovery on Amazon RDS Multi-AZ. • Processed 260M events/day by owning the Java event-generation stage and co-developing the 6,000 TPS real-time messaging exit point, with full production observability. • Reduced storage cost by automating archival of millions of MongoDB records to S3 Glacier

Software Engineer 1 at Gupshup, Jul 2022 - Jun 2024 · 2 yrs, Mumbai, Maharashtra, India · Hybrid, Personalize | Cusomer Data Platform • Lifted read throughput about 40% by developing customer-profile microservices on MongoDB and PostgreSQL with Redis serving frequent reads. • Hardened REST APIs with Spring Security, JWT authentication, and RBAC, plus AES data encryption. • Automated deployments to Kubernetes on AWS EKS with Helm charts and GitLab CI/CD. • Reached 90%+ code coverage by authoring 400+ JUnit and Mockito unit tests.

Software Engineer at Crest Data Systems, Jan 2022 - Mar 2022 · 3 mos, Pune District, Maharashtra, India

Education

Bachelor of Engineering, Computational Science, Savitribai Phule Pune University

Public links

github: https://github.com/godse823

medium: https://medium.com/@godserushikesh12

leetcode: https://leetcode.com/godse823

godse823.github.io: https://godse823.github.io/