Prakhar Saxena profile photo 1 on Tal

Prakhar Saxena

Software Engineer @ Paytm | Spring Boot · Kafka · Microservices | Scaled to 20M+ Users | High-Throughput Systems | Open to Backend Roles

Noida

3+ years of work experience

Paytm
Oct 20241 yr 11 mosPresent

▸ Scaled Monthly Statement Flow from 2M to 20M+ users, delivering statements in PDF and Excel formats with email and push notification integration. ▸ Designed and built a Kafka-based cashback pipeline ingesting 426 TPS, achieving 99.9% delivery reliability through resilient retry and failure-handling mechanisms. ▸ Owned end-to-end deployment and production release of the Statement Flow — zero-downtime rollouts serving 20M+ users. ▸ Reduced production incident detection time from ~30 minutes to under 10 minutes by building Grafana dashboards and monitoring alerts. ▸ Managed service deployments, monitoring, and incident resolution for backend services and streaming pipelines in production. Tech: Java · Spring Boot · Apache Kafka · MySQL · Elasticsearch · AWS · Grafana · Prometheus · ArgoCD
Newgen Software
Jun 20221 yr 5 mosOct 2023

Noida

▸ Reduced average query response time by 75% through targeted query tuning and data access layer optimization across a 100,000+ employee dataset. ▸ Led development of the medical card generation module for 100,000+ employees, implementing unique identifiers for accurate issuance and full traceability. ▸ Designed and implemented MVC architecture for employee data management, improving data integrity, maintainability, and separation of concerns. Tech: Java · Spring Boot · REST APIs · MySQL · Hibernate · MVC

Prakhar’s AI Stack

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Education

Geetanjali Institute of Technical Studies, Udaipur

Bachelor's degree

Geetanjali Institute of Technical Studies, Udaipur

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Headline

Software Engineer @ Paytm | Spring Boot · Kafka · Microservices | Scaled to 20M+ Users | High-Throughput Systems | Open to Backend Roles

About

I build backend systems that scale. Currently at Paytm, I work on distributed Java services that power financial workflows for 20M+ users — from high-throughput Kafka pipelines ingesting 426 TPS to zero-downtime statement delivery in PDF and Excel formats. A few things I've shipped recently: → Scaled Monthly Statement Flow from 2M → 20M+ users → Built a Kafka cashback pipeline with 99.9% delivery reliability → Cut production incident detection time from ~30 min to under 10 min via Grafana dashboards → Reduced DB query latency by 75% at Newgen through query tuning I care about writing clean, observable, production-ready code. I own what I build — from design to deployment to incident resolution. Tech I work with: Java · Spring Boot · Apache Kafka · Microservices · REST APIs · MySQL · Elasticsearch · AWS · Hibernate · Grafana · Prometheus Open to backend engineering roles at product companies building high-scale systems. 📩 prakharsaxena040396@gmail.com

Location

Noida

AI stack

claude code

codex

cursor

opencode

claudecode

Work experience

Software Engineer at Paytm, Oct 2024 - Present · 1 yr 11 mos, ▸ Scaled Monthly Statement Flow from 2M to 20M+ users, delivering statements in PDF and Excel formats with email and push notification integration. ▸ Designed and built a Kafka-based cashback pipeline ingesting 426 TPS, achieving 99.9% delivery reliability through resilient retry and failure-handling mechanisms. ▸ Owned end-to-end deployment and production release of the Statement Flow — zero-downtime rollouts serving 20M+ users. ▸ Reduced production incident detection time from ~30 minutes to under 10 minutes by building Grafana dashboards and monitoring alerts. ▸ Managed service deployments, monitoring, and incident resolution for backend services and streaming pipelines in production. Tech: Java · Spring Boot · Apache Kafka · MySQL · Elasticsearch · AWS · Grafana · Prometheus · ArgoCD

Software Engineer at Newgen Software, Jun 2022 - Oct 2023 · 1 yr 5 mos, Noida, ▸ Reduced average query response time by 75% through targeted query tuning and data access layer optimization across a 100,000+ employee dataset. ▸ Led development of the medical card generation module for 100,000+ employees, implementing unique identifiers for accurate issuance and full traceability. ▸ Designed and implemented MVC architecture for employee data management, improving data integrity, maintainability, and separation of concerns. Tech: Java · Spring Boot · REST APIs · MySQL · Hibernate · MVC

Education

Bachelor's degree, Geetanjali Institute of Technical Studies, Udaipur

Prakhar Saxena - Software Engineer in Noida | Tal