---
title: "Akash Kait - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Akash Kait, Backend & ML Engineer @ Guidewire | Java · Python · Apache Spark · Iceberg · AWS · LLMs | Building event-driven data pipelines at scale based in Bengaluru. AI stack includes claude code, gemini, and github copilot. Explore public work links including github and leetcode."
image: "https://tal.club/meet/akash-kait/share-image"
---

# Akash Kait on Tal

## Headline

Backend & ML Engineer @ Guidewire \| Java · Python · Apache Spark · Iceberg · AWS · LLMs \| Building event\-driven data pipelines at scale

## About

Backend and ML engineer with 4\+ years building data\-intensive systems — from event\-driven ingestion pipelines on AWS to neural\-network recommendation models that moved real product metrics\. Currently at Guidewire, I architect and lead IP3 — the Iceberg\-tier sink in our 3\-stage CDC pipeline \(DB WAL → Kafka/Debezium → Iceberg\) — serving 400\+ DP\-IDs across 100\+ tenants and 700\+ tables\. Recent shipping highlight: replaced 40 per\-DP\-ID Lambdas with a unified Spark job using a single Iceberg commit, eliminating commit contention and cutting data\-gap detection runtime \~20x\. Also reduced an Iceberg cleanup job from a 48\+ hour timeout to under 40 minutes by resolving race conditions with concurrent writers\. Previously at CaaStle, I worked across the AI/ML stack — built a three\-tower neural network recommendation model \(10% lift in closeting rate\), embedding\-based product recommendations using LangChain and GPT\-4V \(5% engagement lift\), and AI\-generated fashion content via LoRA fine\-tuning on Stable Diffusion\. Also led the Collection Generation pipeline, cutting runtime from 5 hours to 30 minutes\. Before that, I built secure React Native flows for PIN reset and money add/withdrawal at Groww, used by 70M\+ users\. What I care about: diagnosing the architectural root cause \(commit contention, race conditions, throttling logic\) rather than throwing more compute at the symptom\. I enjoy taking ambiguous infra problems from POC through to team\-wide adoption\. Stack I work in: Python · Java · Apache Spark · Apache Iceberg · Kafka · AWS \(Lambda, EventBridge, Glue, Athena, EMR Serverless, SageMaker\) · Elasticsearch / ELK · LangChain · PyTorch · Spring Boot\. Open to senior backend, ML, and data\-platform roles\. Bangalore or remote\.

## Location

Bengaluru

## AI stack

claude code

gemini

github copilot

openai

## Work experience

Software Engineer 2 at Guidewire Software, Jul 2025 \- Present · 1 yr 2 mos, Bangalore Urban, Karnataka, India, Building and operating Guidewire's data ingestion platform — an event\-driven pipeline that lands changes from upstream insurance databases into queryable Iceberg tables across 400\+ data partitions and 100\+ tenants\. My work spans architecture \(designed and led IP3, our Iceberg\-tier sink\), reliability \(DB rollback handling, per\-DP\-ID alerting redesign\), performance \(parallel Spark for data\-gap detection — \~20x faster than the prior Lambda fan\-out\), and security \(resolved 50\+ Brinqa vulnerabilities across 3\-5 services\)\.

Senior Software Engineer at CaaStle, Dec 2024 \- May 2025 · 6 mos, Bengaluru, Karnataka, India, AI/ML and backend engineering for The Closet, CaaStle's subscription clothing rental platform\. Built recommendation systems \(three\-tower neural network, embedding\-based via LangChain \+ GPT\-4V\), AI\-generated fashion content \(LoRA fine\-tuning \+ Stable Diffusion on AWS SageMaker\), and Java/Spark data pipelines that powered personalized collections\. Owned the Collection Generation pipeline end\-to\-end and developed multiple Spring Boot microservices\.

Data Driven Applications Engineer at CaaStle, Jul 2022 \- Jan 2025 · 2 yrs 7 mos, Bengaluru, Karnataka, India

Software Application Developer at Groww, India, Jan 2021 \- Jul 2021 · 7 mos, Bengaluru, Karnataka, India, Consumer fintech mobile engineering trainee\. Built secure React Native flows for sensitive money operations \(PIN reset, add/withdraw funds\) used by 70M\+ users, plus reusable UI components for the broader app\.

## Education

Bachelor of Technology \- BTech, Computer Science, Punjab Engineering College

## Public links

- github: https://github\.com/Akash\-Kait
- leetcode: https://leetcode\.com/akashkait

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

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