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Pranjal Goyal

Senior Software Engineer | Open Source | Built & Scaled Fintech Onboarding Systems | Ex-AngelOne, Groww

Bengaluru

5+ years of work experience

Camunda
Dec 20258 moPresent

Remote, India

· Led migration of a reliability platform to Java/Spring Boot, replacing rigid legacy configuration with parameterized setups - cutting benchmarking from multiple iterations per config change to a single run. · Built self-serve benchmarking workflows enabling internal teams to benchmark any PR against a release baseline, with agentic orchestration (Claude) automating results comparison and analysis - reducing engineering feedback loops by ~30% (measured via internal DX survey). · Built Grafana dashboards and alerting for internal platform services, replacing manual log-diving in incident diagnosis. · Automated CI/CD pipelines (GitHub Actions) for publishing versioned build artifacts across release branches, eliminating a manual publish step per release. · Profiled and resolved performance bottlenecks in distributed Java services on Kubernetes (GCP); findings drove optimizations adopted in core platform components. · Open source: 60+ merged pull requests in the public camunda/camunda monorepo, spanning benchmarking, CI/CD, and reliability tooling (github.com/camunda/camunda).
Angel One
May 20241 yr 8 mosDec 2025

Bengaluru, Karnataka, India

• Designed and implemented a high-availability account transfer flow in Go, enabling users to close accounts and seamlessly transfer shares to demat partners, reducing customer complaints by 90%. • Implemented SSE-C (customer-provided key) encryption across all AWS S3-backed services, strengthening data security and compliance posture. • Parallelized the online modification flow to support concurrent user requests, boosting overall conversion rate by 12%. • Built auto-retry mechanisms into Camunda workflows, increasing end-to-end success rate by 20% • Developed a wrapper library for hashing PII data in logs across all KYC services, ensuring compliance with data protection standards.
Groww, India
Jul 20221 yr 11 mosMay 2024

India

• Redesigned and developed the E-Modification Flows for account closure, mobile/email changes, and income range updates, resulting in a smoother user experience and a 40% reduction in queries. • Designed and shipped a Recent Activity service (Spring Boot, Kafka, Redis) powering Help & Support, improving support visibility by 25% and customer-service efficiency by 10%. • Engineered an automated bank verification service, improving verification conversion rate from 82% to 94%. • Architected database archival to Google Bigtable, reducing storage costs by ~15%.
Supr Daily by Swiggy
Mar 20223 moJun 2022

Bengaluru, Karnataka, India

• Automated nudge creation workflow using Retool, eliminating manual configuration and reducing time-to-production for user engagement campaigns. • Reduced checkout API latency by ~30% by replacing legacy direct database queries with a Redis caching layer (Python/Django) • Evaluated A/B testing for the impact of checkout flow experiments, increasing conversion rate by 13%
Groww, India
May 20216 moNov 2021

India

• Built Groww Academy from the ground up - an e-learning platform serving 1M+ users - using Spring Boot, Kafka, Redis, and REST APIs. • Mainted automated dashboards on New Relic for monitoring/alerting over 15 applications in production, driving company efficiency • Implemented referral-eligibility checks preventing payouts to non-invested users, cutting referral spend by ₹500K monthly.

Pranjal’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
opencode
opencode

Education

Pandit Deendayal Energy University

BTech - Bachelor of Technology, Computer Engineering

Pandit Deendayal Energy University

Delhi Public School (DPS)

10

Delhi Public School (DPS)

20151 yr2016

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Headline

Senior Software Engineer | Open Source | Built & Scaled Fintech Onboarding Systems | Ex-AngelOne, Groww

About

I'm a backend engineer with 4+ years building microservices and distributed infrastructure, mostly in fintech and open source. Right now I'm at Camunda, the open-source process orchestration platform, where I build the distributed benchmarking and reliability tooling that checks core platform performance every release. That work cut our engineering feedback loops by around 30% and made incident investigation noticeably faster. Before Camunda I worked on backend systems serving millions of users: At AngelOne I built a high-availability account-transfer flow in Go, added auto-retry to our Camunda workflows to push end-to-end success rates up ~20%, parallelized concurrent request flows for a ~12% conversion lift, and hardened S3 storage with SSE-C encryption. At Groww I built a Recent Activity service on Spring Boot, Kafka, and Redis that made support ~10% more efficient, and moved archival data to Bigtable to cut storage costs ~15%. At Swiggy's SuprDaily I replaced legacy database queries with a Redis caching layer and cut checkout API latency by ~30%. I work mostly in Java and Go, with Python, across Kafka, Redis, PostgreSQL, MySQL, Bigtable, and the usual AWS/GCP/Kubernetes stack. Most of my recent work has been fully in the open, with 60+ merged pull requests in the public camunda/camunda monorepo across benchmarking, CI/CD, and reliability tooling. I like distributed systems and the unglamorous infrastructure work that keeps them fast and reliable. Always happy to connect with other backend and open-source folks.

Location

Bengaluru

AI stack

claude code

claude

github copilot

opencode

Work experience

Senior Software Engineer at Camunda, Dec 2025 - Present · 8 mo, Remote, India, · Led migration of a reliability platform to Java/Spring Boot, replacing rigid legacy configuration with parameterized setups - cutting benchmarking from multiple iterations per config change to a single run. · Built self-serve benchmarking workflows enabling internal teams to benchmark any PR against a release baseline, with agentic orchestration (Claude) automating results comparison and analysis - reducing engineering feedback loops by ~30% (measured via internal DX survey). · Built Grafana dashboards and alerting for internal platform services, replacing manual log-diving in incident diagnosis. · Automated CI/CD pipelines (GitHub Actions) for publishing versioned build artifacts across release branches, eliminating a manual publish step per release. · Profiled and resolved performance bottlenecks in distributed Java services on Kubernetes (GCP); findings drove optimizations adopted in core platform components. · Open source: 60+ merged pull requests in the public camunda/camunda monorepo, spanning benchmarking, CI/CD, and reliability tooling (github.com/camunda/camunda).

Software Engineer at Angel One, May 2024 - Dec 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India, • Designed and implemented a high-availability account transfer flow in Go, enabling users to close accounts and seamlessly transfer shares to demat partners, reducing customer complaints by 90%. • Implemented SSE-C (customer-provided key) encryption across all AWS S3-backed services, strengthening data security and compliance posture. • Parallelized the online modification flow to support concurrent user requests, boosting overall conversion rate by 12%. • Built auto-retry mechanisms into Camunda workflows, increasing end-to-end success rate by 20% • Developed a wrapper library for hashing PII data in logs across all KYC services, ensuring compliance with data protection standards.

Software Engineer at Groww, India, Jul 2022 - May 2024 · 1 yr 11 mos, India, • Redesigned and developed the E-Modification Flows for account closure, mobile/email changes, and income range updates, resulting in a smoother user experience and a 40% reduction in queries. • Designed and shipped a Recent Activity service (Spring Boot, Kafka, Redis) powering Help & Support, improving support visibility by 25% and customer-service efficiency by 10%. • Engineered an automated bank verification service, improving verification conversion rate from 82% to 94%. • Architected database archival to Google Bigtable, reducing storage costs by ~15%.

Software Intern at Supr Daily by Swiggy, Mar 2022 - Jun 2022 · 3 mo, Bengaluru, Karnataka, India, • Automated nudge creation workflow using Retool, eliminating manual configuration and reducing time-to-production for user engagement campaigns. • Reduced checkout API latency by ~30% by replacing legacy direct database queries with a Redis caching layer (Python/Django) • Evaluated A/B testing for the impact of checkout flow experiments, increasing conversion rate by 13%

Software Intern at Groww, India, May 2021 - Nov 2021 · 6 mo, India, • Built Groww Academy from the ground up - an e-learning platform serving 1M+ users - using Spring Boot, Kafka, Redis, and REST APIs. • Mainted automated dashboards on New Relic for monitoring/alerting over 15 applications in production, driving company efficiency • Implemented referral-eligibility checks preventing payouts to non-invested users, cutting referral spend by ₹500K monthly.

Education

BTech - Bachelor of Technology, Computer Engineering, Pandit Deendayal Energy University

10, Delhi Public School (DPS)

Public links

github: https://github.com/pranjalg13

medium: https://medium.com/@pranjalgoyal13

leetcode: https://leetcode.com/pranjalgoyal13