Ritesh Godse profile photo 1 on Tal

Ritesh Godse

SDE-1 @Jupiter | Ex - PayU | Backend Engineer | Fintech | Java | LLM and Backend Systems Developer

Bengaluru

1+ year of work experience

Jupiter Money
Jan 20267 mosPresent

Bengaluru, Karnataka, India

• Built and scaled Jupiter’s Customer Segmentation and Real-Time Decisioning Platform, powering personalized onboarding, payments, lending, and growth journeys, increasing targeted cross-product acquisition by 60% while serving 37M+ requests/day across 5M+ customers through Kafka-based event processing and Elasticsearch-backed feature serving • Improved onboarding conversion and customer experience by eliminating terminal-state, retry-loop, and stale-state failures across PPI, VKYC, and eKYC journeys, reducing customer complaints by 40% • Led backend modernization initiatives for PPI and Java 25 migration, building cloud-agnostic services that simplified multi-cloud deployments across AWS and Oracle, improving maintainability and operational efficiency • Built an automated onboarding recovery platform leveraging WhatsApp engagement and CKYC remediation workflows, increasing successful onboarding conversions by 14% • Reduced infrastructure costs by $17K+ per month through platform-wide workload optimization, resource governance, and architecture improvements while maintaining SLA compliance for business-critical systems
PayU
Jun 20257 mosDec 2025

Pune City, Maharashtra, India

• Designed and implemented the Daily Settlement Engine for automated payment reconciliation and settlement workflows, improving settlement accuracy by 35%, reducing storage redundancy by 40%, and enabling reliable downstream financial reporting • Built a Kafka-driven transaction orchestration platform integrating external BBPS systems, reliably processing 40,000+ transactions/hour through asynchronous event-driven workflows and fault-tolerant services • Built an LLM-powered support system, automating 40% of customer queries while improving resolution accuracy by 35% and reducing resolution time by 25%.
GitHub
@godseritesh
LeetCode
@godse-ritesh

Ritesh’s AI Stack

aistudio
aistudio
anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
codex
codex
cursor
cursor
deepmind
deepmind
deepseek
deepseek
gemini
gemini
geminicli
geminicli
hugging face
hugging face
langchain
langchain
langgraph
langgraph
langsmith
langsmith
mcp
mcp
n8n
n8n
notion
notion
ollama
ollama
opencode
opencode
railway
railway

Education

Vishwakarma Institute of information technology

Bachelor of Technology - BTech, Artificial Intelligence and Data Science

Vishwakarma Institute of information technology

20223 yrs2025

12th HSC, Science

St. Paul's Jr. College of Science

20192 yrs2021

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Headline

SDE-1 @Jupiter | Ex - PayU | Backend Engineer | Fintech | Java | LLM and Backend Systems Developer

About

Software Developer with hands-on fintech experience at PayU Payments, specializing in AI/ML solutions and backend development. Built LLM-powered chatbot that reduced support queries by 40% and deployed scalable systems supporting 5,000+ concurrent users with 99.9% uptime. Proven expertise in Python, Java, Node.js, and cloud technologies (AWS), with strong foundations in REST APIs, database management, and CI/CD pipelines. Smart India Hackathon qualifier pursuing BTech in AI & Data Science (8.9 CGPA) with patent-pending innovations and published research experience.

Location

Bengaluru

AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

cursor

deepmind

deepseek

gemini

geminicli

hugging face

langchain

langgraph

langsmith

mcp

n8n

notion

ollama

opencode

railway

Work experience

Software Development Engineer 1 at Jupiter Money, Jan 2026 - Present · 7 mos, Bengaluru, Karnataka, India, • Built and scaled Jupiter’s Customer Segmentation and Real-Time Decisioning Platform, powering personalized onboarding, payments, lending, and growth journeys, increasing targeted cross-product acquisition by 60% while serving 37M+ requests/day across 5M+ customers through Kafka-based event processing and Elasticsearch-backed feature serving • Improved onboarding conversion and customer experience by eliminating terminal-state, retry-loop, and stale-state failures across PPI, VKYC, and eKYC journeys, reducing customer complaints by 40% • Led backend modernization initiatives for PPI and Java 25 migration, building cloud-agnostic services that simplified multi-cloud deployments across AWS and Oracle, improving maintainability and operational efficiency • Built an automated onboarding recovery platform leveraging WhatsApp engagement and CKYC remediation workflows, increasing successful onboarding conversions by 14% • Reduced infrastructure costs by $17K+ per month through platform-wide workload optimization, resource governance, and architecture improvements while maintaining SLA compliance for business-critical systems

Graduate Engineering Trainee at PayU, Jun 2025 - Dec 2025 · 7 mos, Pune City, Maharashtra, India, • Designed and implemented the Daily Settlement Engine for automated payment reconciliation and settlement workflows, improving settlement accuracy by 35%, reducing storage redundancy by 40%, and enabling reliable downstream financial reporting • Built a Kafka-driven transaction orchestration platform integrating external BBPS systems, reliably processing 40,000+ transactions/hour through asynchronous event-driven workflows and fault-tolerant services • Built an LLM-powered support system, automating 40% of customer queries while improving resolution accuracy by 35% and reducing resolution time by 25%.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Science, Vishwakarma Institute of information technology

12th HSC, Science, St. Paul's Jr. College of Science

Public links

github: https://github.com/godseritesh

leetcode: https://leetcode.com/u/godse-ritesh/