---
title: "Vandit Tyagi - Software Engineer in Bengaluru | Tal"
description: "Meet Vandit Tyagi, Software Engineer @ Enterpret | AI Systems, Backend Infra, RAG & Data Pipelines | Kaggle 3x Expert | Ex-Swiggy DS based in Bengaluru. AI stack includes antigravity, codex, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/vandit-tyagi/share-image"
---

# Vandit Tyagi on Tal

## Headline

Software Engineer @ Enterpret \| AI Systems, Backend Infra, RAG & Data Pipelines \| Kaggle 3x Expert \| Ex\-Swiggy DS

## About

I build production AI and backend systems across customer\-feedback intelligence, retrieval workflows, data pipelines, and cloud infrastructure\. Currently at Enterpret, I work on Go/Python systems for integrations, inferencing reliability, synthetic data generation, RAG evaluation, and customer\-visible workflow health\. Previously at Swiggy, I worked on logistics ETA prediction, reducing deployment cost and improving feature\-processing efficiency\. My edge is combining production engineering with ML depth: Kaggle 3x Expert, CS\+AI graduate, published AI research, and open\-source work across Indic NLP, agentic systems, and evaluation\-heavy AI tools\. Keywords: Go, Python, AWS, RAG, LLMs, data pipelines, PySpark, Snowflake, Kinesis, EventBridge, vector search, backend systems, model evaluation\.

## Location

Bengaluru

## AI stack

antigravity

codex

claudecode

## Work experience

Software Engineer at Enterpret, May 2025 \- Present · 1 yr 4 mos, Bengaluru, Karnataka, India

ML Engineer at Enterpret, Aug 2024 \- Apr 2025 · 9 mos, Remote

Open Source Developer at Code for GovTech \(C4GT\), Jul 2024 \- Aug 2024 · 2 mos, Remote, Selected under DMP program for 2024 at Belongg AI

Data Science Intern at Swiggy, Nov 2023 \- Jun 2024 · 8 mos, Banglore, \- Worked on point\-to\-point ETA prediction for high\-volume logistics\. \- Consolidated multi\-model dependencies into a unified framework, reducing deployment cost\. \- Built PySpark, Snowflake, and Spark SQL pipelines, improving feature\-processing efficiency\.

Data Science Intern at FutureSmart AI, Aug 2023 \- Nov 2023 · 4 mos

Data Science Intern at Shortlyst AI, Sep 2022 \- Dec 2022 · 4 mos

## Public links

- github: https://github\.com/vandit98

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

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