---
title: "Kavish Agnihotri - Member of Technical Staff in Bengaluru | Tal"
description: "Meet Kavish Agnihotri, Member of Technical Staff (MTS) @ Salesforce (via Informatica Acquisition) | AI/ML & Backend Platform Engineer | Java, LLMs, Embeddings | Ex-Walmart based in Bengaluru. AI stack includes claude code, codex, and lovable."
image: "https://tal.club/meet/kavish-agnihotri/share-image"
---

# Kavish Agnihotri on Tal

## Headline

Member of Technical Staff \(MTS\) @ Salesforce \(via Informatica Acquisition\) \| AI/ML & Backend Platform Engineer \| Java, LLMs, Embeddings \| Ex\-Walmart

## About

Machine Learning & Backend Engineer with strong expertise in building and deploying AI/LLM\-powered systems, specializing in scalable backend infrastructure and generative AI platform services\. At Salesforce \(via Informatica Acquisition\), I build and scale AI\-driven platform features—including an end\-to\-end Glossary Recommendation service powered by fine\-tuned small LLMs and an Unstructured Data Classification engine using custom embedding models\. I specialize in bridging high\-performance Java backend microservices with modern machine learning pipelines, optimizing API throughput, pre/post\-processing workflows, and model inference latency\. Previously at Walmart, I engineered real\-time data validation and batch ingestion pipelines using Apache Spark and Kafka, dramatically improving anomaly detection and processing speed\. I hold an M\.Tech in Data Science from IIIT Bangalore and am passionate about building production\-grade, scalable AI systems\.

## Location

Bengaluru

## AI stack

claude code

codex

lovable

ollama

## Work experience

Member of Technical Staff at Salesforce, Mar 2026 \- Present · 7 mos, Bengaluru, • Transitioned to Salesforce following the acquisition of Informatica, continuing to bridge backend platform architecture with machine learning capabilities\. • Engineered scalable Java microservices and pipelines to enable and serve fine\-tuned AI/ML models across enterprise data workflows\. • Built an end\-to\-end Glossary Recommendation service by fine\-tuning small LLMs, developing custom pre/post\-processing pipelines, and exposing high\-throughput Java APIs\. • Developed an Unstructured Data Classification platform by fine\-tuning custom embedding models, conducting PoCs, and building Java backend execution jobs\.

Senior Software Engineer at Informatica, Apr 2025 \- Feb 2026 · 11 mos, Bengaluru, • Built an LLM\-powered glossary generation service for structured/ semi\-structured data\. • Fine\-tuned models using LoRA and PEFT and deployed them with containerized CI/CD pipelines\. • Developed LLM\-as\-a\-judge evaluation pipelines for benchmarking\. • Created feature extraction utilities for Apache Iceberg \(reduced debugging time by 40%\)\. • Automated data ingestion test workflows, reducing QA cycle time by 70%\. • Designed scalable backend APIs optimized for throughput and latency\.

Software Engineer at Informatica, Aug 2022 \- Apr 2025 · 2 yrs 9 mos, Bengaluru, Karnataka, India

Software Engineer 2 at Walmart Global Tech India, Jul 2021 \- Jul 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid, • Built a Python\-based data validation tool; cut anomaly detection time from 24 hours to 15 minutes\. • Developed real\-time and batch pipelines using Apache Spark and Kafka\. • Followed Agile practices and collaborated via Git and GitHub\.

Software Engineer Intern at Walmart Global Tech India, Jan 2021 \- Jun 2021 · 6 mos, Bengaluru, Karnataka, India · Hybrid, • Delivered a POC real\-time data pipeline \(Kafka → BigQuery\), later adopted into production\. • Improved data ingestion efficiency by 45% over existing processes\.

## Education

Master of Technology \- MTech, Computer Science, International Institute of Information Technology Bangalore

Bachelor of Engineering \- BE, Computer Science, Lakshmi Narain College of Technology & Science, Kalchuri Nagar, Raisen Road, Bhopal\-462021

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

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