---
title: "Ashok Ramavath - Software Engineer - I in Bangalore Urban | Tal"
description: "Meet Ashok Ramavath, Software Engineer I @ Toast | Backend & Distributed Systems | Java • Kotlin • TypeScript • gRPC • GraphQL • Apache Pulsar • AWS • Splunk based in Bangalore Urban. AI stack includes claude code and codex."
image: "https://tal.club/meet/ashok-ramavath/share-image"
---

# Ashok Ramavath on Tal

## Headline

Software Engineer I @ Toast \| Backend & Distributed Systems \| Java • Kotlin • TypeScript • gRPC • GraphQL • Apache Pulsar • AWS • Splunk

## About

I am a Full Stack Software Engineer at Toast, where I design, build, and scale the distributed systems that power 170,000\+ restaurants globally\. My expertise lies in developing highly available, low\-latency microservices using Java and Kotlin, optimizing data persistence with DynamoDB, and building efficient APIs via gRPC and GraphQL\. Because operating at scale requires absolute reliability, I focus heavily on: • Event\-Driven Architecture: Utilizing Apache Pulsar and RabbitMQ for robust, asynchronous message streaming\. • Production Observability: Leveraging DataDog and Splunk for real\-time monitoring, log analysis, and performance tuning\. • Safe Deployments: Executing complex, feature\-flag\-driven rollouts to ensure zero downtime\. I am deeply passionate about distributed systems, performance engineering, and system design\. I love solving complex infrastructure puzzles and contributing to open\-source projects\. Core Technical Stack: Languages: Java, Kotlin, TypeScript, Python Frameworks & Protocols: gRPC, GraphQL, Dropwizard, Spring Boot Cloud & Databases: AWS \(Amazon Web Services\), DynamoDB Messaging & Observability: Apache Pulsar, RabbitMQ, DataDog, Splunk, Git

## Location

Bangalore Urban

## AI stack

claude code

codex

## Work experience

Software Engineer \- I at Toast, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India · Hybrid, • Team: Enterprise Away Team, focused on building and shipping new features for Toast's large enterprise customer segment, supporting 40,000\+ of the 170,000\+ global restaurants on the platform\. • Writing and maintaining high\-throughput internal microservices using Java, Kotlin, gRPC, and GraphQL to optimize service\-to\-service communication\. • Debugging complex distributed microservice connections and asynchronous messaging pipelines powered by Apache Pulsar and RabbitMQ, using Splunk and DataDog to identify bottlenecks and trace logs\. • Designing and scaling resilient data models in Amazon DynamoDB to maintain low\-latency read and write performance during peak restaurant traffic periods\. • Collaborating on backend feature rollouts through continuous integration pipelines and feature\-flag strategies to minimize deployment risk for enterprise customers\.

Software Engineer Intern at Toast, May 2025 \- Aug 2025 · 4 mos, Bengaluru, Karnataka, India · Hybrid, • Team: Data Science Team, worked on fraud detection model pipelines and learned how machine learning models are integrated into backend microservices for real\-time transaction scoring\. • Built, tested, and deployed backend services in AWS\-hosted pre\-production environments using Java and Dropwizard\. • Worked with data engineering pipelines leveraging Amazon S3 and Snowflake to support fraud model training, validation, and data processing workflows\. • Collaborated with data scientists and backend engineers to integrate, test, and operationalize fraud detection models within production\-ready systems\.

Research Intern at National Institute of Technology Tiruchirappalli \(NIT Trichy\), May 2023 \- Jul 2023 · 3 mos, Remote, • Developed and optimized customized Deep Learning models for legal text classification, improving classification accuracy and processing efficiency on complex legal documents\. • Integrated Explainable AI \(XAI\) frameworks \(such as SHAP/LIME\) to demystify black\-box neural networks, providing interpretable visual insights into model decision\-making processes for legal stakeholders\. • Engineered NLP preprocessing pipelines using Python to handle unstructured, domain\-specific legal terminology, significantly reducing noise and enhancing feature extraction\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Birla Institute of Technology, Mesra

PCM, Sri Chaitanya College of Education

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

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