---
title: "Sujata Nimiwal - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Sujata Nimiwal, Senior Software Engineer | Distributed Systems | AI Infrastructure | Kafka • Spark • Python • AWS | LLM-integrated pipelines| ML | Ex-AWS | seeking core AI/ML engineering roles based in Bengaluru. AI stack includes claude code, claude, and github copilot. Explore public work li..."
image: "https://tal.club/meet/sujata-nimiwal/share-image"
---

# Sujata Nimiwal on Tal

## Headline

Senior Software Engineer \| Distributed Systems \| AI Infrastructure \| Kafka • Spark • Python • AWS \| LLM\-integrated pipelines\| ML \| Ex\-AWS \| seeking core AI/ML engineering roles

## About

I build real\-time data systems that power AI products at scale — and I'm actively moving into the AI engineering layer itself\. At HPE Aruba, I own the streaming ingestion platform \(Apache Spark Structured Streaming \+ Kafka\) that feeds 50\+ telemetry topics from network devices into a datalake serving AIOps ML models and alerting systems — running across 15\+ production clusters globally\. Beyond the pipelines, I've worked directly on AI features: prototyped LLM\-based auto site name generation, designed a stateful Kafka streaming system for real\-time 802\.1x alert clearing, and built the data backend for customer\-facing recommender features\. On the side, I built an agentic LLM tool — a GitHub Copilot extension that connects to Apache Airflow via tool\-calling, so engineers can query DAG state, task logs, and failures in natural language without leaving their IDE\. Before HPE, I was at AWS on the SageMaker Feature Store team — implemented Apache Iceberg as an offline store format \(cutting S3 query time for ML consumers\) and built a production Python backfill script that saved thousands of dollars in DynamoDB costs across prod accounts\. What I'm looking for next: AI Engineer or ML Platform Engineer roles where I can work closer to the model layer — LLM pipelines, inference infrastructure, agentic systems, or ML feature platforms\. I bring strong production instincts from operating streaming systems at scale, and hands\-on LLM work from both personal projects and applied research at HPE\. Skills: Python · Scala · Java · Apache Kafka · Apache Spark · Apache Iceberg · AWS \(S3, SageMaker, DynamoDB\) · Kubernetes · Airflow · Avro/Protobuf · LLM tool\-calling · Agentic AI

## Location

Bengaluru

## AI stack

claude code

claude

github copilot

langchain

langfuse

langgraph

## Work experience

Senior Software Engineer at Hewlett Packard Enterprise, Nov 2024 \- Present · 1 yr 10 mos, Bengaluru, Karnataka, India · Hybrid, • Kafka streaming \(aiops\-sparklin\): Develop and own high\-volume, multi\-topic Kafka ingestion on a Spark/Scala Structured Streaming platform serving enterprise AIOps analytics; built schema\-governed consumers handling JSON, Avro, and Protobuf payloads via Confluent Schema Registry and descriptor\-based deserialization, managing topic onboarding, consumer\-group behavior, and backpressure\. • LLM\-integrated Split\-Site Detection: Built a PySpark pipeline detecting improperly split network sites from telemetry and lineage data, integrating an LLM to auto\-generate geographically accurate names for new sites\. • Aruba AI Insights: Contributed ingestion pipelines to Aruba's AI\-driven anomaly\-detection product; led analysis and solution design for real\-time 802\.1X alert\-clearing\.

Software Engineer 2 at Hewlett Packard Enterprise, Sep 2023 \- Nov 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India · Hybrid, • Recommender backends: Built the data backend and dashboards for split\-site and DFS recommender features surfacing recommendations to customers\. • Reliability: Diagnosed and resolved Spark OOM/heap failures and SLA breaches across multi\-cluster Kafka workloads; automated CVE remediation across Java, Python, and Go\. • Orchestrated fault\-tolerant workflows on Kubernetes via Airflow \(cloud\) and Cron \(on\-prem\), writing curated outputs to AWS, Azure, and MinIO object storage\.

Software Development Engineer at Amazon Web Services \(AWS\), Jun 2022 \- Jul 2023 · 1 yr 2 mos, Bengaluru, Karnataka, India, • Worked on Amazon SageMaker Feature Store \- the ML feature infrastructure powering model training and inference \- across ingestion, offline\-store storage, and retrieval\. • Apache Iceberg integration: Added Iceberg table format as a storage option for the offline store's S3 data, cutting S3 query time for downstream ML consumers\. Worked extensively across S3, DynamoDB, EC2, and CloudWatch\. • Cost\-saving backfill \(Python\): Built and ran a production backfill script against DynamoDB in the Feature Store's prod accounts, saving thousands of dollars in DynamoDB usage costs\. • AWS Java SDK 1\.x to 2\.x migration: Migrated a Spring Boot / Maven codebase to AWS SDK v2; resolved multiple SEV\-2 incidents as on\-call\.

Software Engineer at Hewlett Packard Enterprise, Sep 2020 \- Jun 2022 · 1 yr 10 mos, Bengaluru, Karnataka, India, • Validated MPI/HPC software releases across enterprise hardware configurations\. • Built the SFWT Tools App \(React\.js\) to automate firmware\-testing workflows\.

Intern at Hewlett Packard Enterprise, Feb 2020 \- Sep 2020 · 8 mos, Bangalore Urban district, India

Internship Trainee at Zeetron Networks Pvt\. Ltd\. India, Jun 2019 \- Jul 2019 · 2 mos, Greater Jaipur Area

## Education

Bachelor of Technology, computer science, Mody university of science and technology

## Public links

- linkedin\.com: https://linkedin\.com/in/sujata\-nimiwal

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

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