---
title: "Deep Awasthi - Backend Engineer in Bengaluru | Tal"
description: "Meet Deep Awasthi, Backend Engineer | Java, Go, Spring Boot, Kafka, gRPC, GCP, Microservices, Python, AWS | Distributed Systems at 50K RPM scale based in Bengaluru. AI stack includes codex and opencode. Explore public work links including github, medium, and leetcode."
image: "https://tal.club/meet/deep-awasthi/share-image"
---

# Deep Awasthi on Tal

## Headline

Backend Engineer \| Java, Go, Spring Boot, Kafka, gRPC, GCP, Microservices, Python, AWS \| Distributed Systems at 50K RPM scale

## About

I am a Backend Engineer and Tech Lead at Deloitte, where I build and scale distributed systems handling 50K\+ requests per minute\. I have led the migration of monolithic services to Kafka based event driven architecture, cutting inter service dependencies from 11 to 3 and eliminating cascading failures in checkout flows\. I have profiled and rebuilt Java and Go API hot paths to bring p99 latency down from 420ms to 290ms while pushing throughput from 8K to 10K RPS\. I now lead a team of 4 engineers, own architecture reviews, and integrated Spring AI to cut incident summarization time from 2 hours to under 8 minutes across 3 Tier 1 payment services\. Outside Deloitte, I build open source infrastructure including FlowBridge \(an embeddable event bus for Spring Boot\), SentinelAI \(an AI powered incident investigation platform\), and FeatureMesh \(a Redis backed feature flag platform with sub 5 millisecond evaluation\)\. I write long form engineering guides on distributed systems and JVM internals at deepawasthi\.medium\.com\. Core stack: Java, Go, Spring Boot, Kafka, gRPC, Redis, PostgreSQL, GCP, Kubernetes, Docker\.

## Location

Bengaluru

## AI stack

codex

opencode

## Work experience

Backend Engineer at Deloitte, Sep 2022 \- Present · 4 yrs, Bengaluru, Karnataka, India, Leading backend engineering for Tier 1 payment services at Deloitte, working across Java, Go, Spring Boot, and Kafka\. Migrated 4 Spring Boot services from a monolith to a Kafka based event driven architecture, cutting inter service dependencies from 11 to 3 and eliminating cascading checkout failures\. Profiled and restructured Java and Go API hot paths under 50K RPM peak load, reducing p99 latency from 420ms to 290ms and raising throughput from 8K to 10K RPS through connection pool tuning and async batching\. Built a Go based anomaly detection pipeline with OpenTelemetry tracing, cutting MTTR from 45 to 12 minutes across 3 Tier 1 payment services\. Promoted from Individual Contributor to Technical Lead for a team of 4\. Own architecture reviews and sprint planning\. Integrated Spring AI to cut incident summarization time from 2 hours to under 8 minutes

## Education

BTech \- Bachelor of Technology, Mechanical Engineering, Dr\. B R Ambedkar National Institute of Technology, Jalandhar \( PUNJAB\)

Higher Schooling, Class 11\-12, Peace public school

## Public links

- github: https://github\.com/deep\-awasthi
- medium: https://medium\.com/@deepawasthi
- leetcode: https://leetcode\.com/deepawasthi

[View the original profile](https://tal.club/meet/deep-awasthi)

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