---
title: "Siddharth Goyal - Software Engineer in Bengaluru | Tal"
description: "Meet Siddharth Goyal, Software Engineer @ ChargePoint | Java · Spring Boot · Kafka · Distributed Systems · Microservices | MS CS, ASU (4.0 GPA) | NAACL ’24 based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github and leetcode."
image: "https://tal.club/meet/siddharth-goyal-3/share-image"
---

# Siddharth Goyal on Tal

## Headline

Software Engineer @ ChargePoint \| Java · Spring Boot · Kafka · Distributed Systems · Microservices \| MS CS, ASU \(4\.0 GPA\) \| NAACL ’24

## About

Software Engineer at ChargePoint building the backend infrastructure that powers EV charging at scale\. I design event\-driven microservices, Kafka\-based messaging pipelines, and fault\-tolerant distributed systems in Java and Spring Boot\. What I've shipped recently: → Led a zero\-downtime migration of 10,000\+ cloud licenses across platforms, owning the full system design from HLD through production deployment → Built a Kafka priority coordinator with weighted consumer groups that improved message throughput by 3x → Designed a notification microservice decoupling 4 legacy communication flows into an independently deployable service → Instrumented production services with Prometheus, Grafana, and Splunk — reducing incident detection time from 15 min to under 3 min Previously built backend systems at ChargeMate\.ai \(Spring Batch pipelines, vector search with Pinecone\) and W4M\.AI \(Python/FastAPI microservices, RAG pipelines with LlamaIndex\)\. Published researcher with papers at NAACL '24 and EACL '23 on instruction\-tuned NLP models and LLM reasoning benchmarks\. M\.S\. Computer Science, Arizona State University \(4\.0/4\.0 GPA\) B\.Tech Computer Science, SRM Institute of Science & Technology \(8\.7/10\) Tech: Java, Spring Boot, Python, Apache Kafka, Microservices, REST APIs, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, Grafana, Prometheus, Datadog

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

deepmind

gemini

## Work experience

Software Engineer at ChargePoint, May 2025 \- Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Building backend infrastructure for ChargePoint's cloud platform — designing event\-driven microservices, Kafka pipelines, and distributed systems in Java/Spring Boot\. Key contributions: • Led a cloud\-license migration from legacy NOS to the SUITE platform, owning full HLD/LLD design, ETL pipeline, and migration of 10,000\+ licenses with zero data loss • Built a Kafka\-based two\-way sync keeping NOS and SUITE consistent in real time through a one\-month cutover until 100% of traffic shifted • Designed an event\-driven notification microservice with REST APIs, deferred queuing, and quota management — decoupling 4 legacy communication flows • Built a Kafka priority coordinator with multi\-threaded, weighted consumer groups, improving throughput by 3x • Instrumented services with Prometheus \+ Grafana/Splunk dashboards, reducing MTTD from 15 min to under 3 min • Mentored 2 engineers, authored design docs/runbooks, cut new\-engineer setup time by 40% Tech: Java, Spring Boot, Apache Kafka, PostgreSQL, REST APIs, Prometheus, Grafana, Splunk, Docker, Kubernetes

Software Engineer at ChargeMate, Jul 2024 \- Jan 2025 · 7 mos, San Francisco Bay Area, Built backend systems powering an AI\-driven EV diagnostics platform using Java/Spring Boot\. • Developed production REST APIs with multi\-threaded processing and comprehensive JUnit/Mockito test suites, improving diagnostic troubleshooting efficiency by 30% • Built a Spring Batch pipeline for automated query classification/routing, integrated Pinecone Vector DB \(10K\+ embeddings\) for semantic search — reducing chatbot escalation by 15% • Owned the deployment pipeline with Docker, environment configs, and automated regression — weekly releases with zero rollbacks Tech: Java, Spring Boot, Spring Batch, Pinecone, JUnit, Mockito, Docker, REST APIs

Software Engineer \- ML at W4M\.AI, Feb 2024 \- Jul 2024 · 6 mos, San Francisco Bay Area, Built Python/FastAPI microservices and ML pipelines for an AI search platform\. • Developed microservices with ML\-powered data pipelines serving 5K\+ daily requests, maintained CI/CD \(Jenkins, GitHub Actions\) with 90%\+ code coverage • Integrated Datadog for distributed tracing, reducing P99 latency debugging time by 50% via correlated trace\-to\-log analysis across 6 microservices • Implemented RAG pipelines using Mixtral and LlamaIndex for AI search services with Llama\-3 language models Tech: Python, FastAPI, Datadog, Jenkins, GitHub Actions, LlamaIndex, Mixtral, Llama\-3

Internship Trainee at Indian Institute of Technology, Kanpur, May 2019 \- Aug 2019 · 4 mos, Kanpur, Uttar Pradesh, India, Spearheaded the development of an autonomous road sign detection system, based on YOLO\-v3\. Was involved in data preprocessing and training the CNN model with our custom data\. Successfully deployed the model on Raspberry Pi, demonstrating strong technical and project management skills\.

## Education

Masters of Science, Computer Science, Arizona State University

Bachelor of Technology, Computer Science Engineering, SRM IST Chennai

## Public links

- github: https://github\.com/siddharth2011
- leetcode: https://leetcode\.com/siddharthgoyal198

[View the original profile](https://tal.club/meet/siddharth-goyal-3)

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