---
title: "Kulvanth S - Product Engineer in Hyderabad | Tal"
description: "Meet Kulvanth S, -- based in Hyderabad. AI stack includes codex and cursor."
image: "https://tal.club/meet/kulvanth-s/share-image"
---

# Kulvanth S on Tal

## Headline

\-\-

## About

Hi \!\! This is Kulvanth I am a dedicated data science aspirant with a strong foundation in computer vision, natural language processing, data analytics, and web development\. I am keen to leverage my skills in a collaborative team environment to deliver innovative solutions and drive impactful results\. My hands\-on experience positions me to contribute effectively to complex challenges across these domains, fostering both personal and organizational growth\.

## Location

Hyderabad

## AI stack

codex

cursor

## Work experience

Product Engineer at URBANKISAAN FARMS \(YC W20\), May 2025 \- Present · 1 yr 4 mos, Hyderabad, Telangana, India, Engineered and implemented multimodal AI chatbot incorporating computer vision, natural language processing, and remote sensing data analysis to provide near real\-time insights for precision farming\. Developed automated deep learning pipelines for image\-based classification, segmentation, and anomaly detection for remote monitoring, mitigation of risks for better farming practices\. Deep learning algorithms for crop scientists for optimized seed breeding\.

Data Science Intern at CropIn AI Labs, May 2024 \- Jul 2024 · 3 mos, Bengaluru, Karnataka, India, • Conducted change detection analysis and supervised learning using Google Earth Engine\. • Parceling and segmentation techniques on Satellite Image Time Series \(SITS\) data for crop classification using Large Vision Models \(LVMs\)\. • Submitted a research paper to IEEE ICASSP 2025 Conference titled AR\-STAR, which enhances a Convolutional RNN for more accurate crop classification\.

Laboratory Researcher at Cropin, May 2024 \- Jul 2024 · 3 mos, Executed geospatial data analysis through remote sensing, Google Earth Engine, employing supervised learning and change detection algorithms on satellite imagery\. Executed image segmentation and classification techniques on satellite image time series \(SITS\) data through application of large vision models \(LVMs\) and deep learning frameworks\. Anomaly detection of glacier thawing in Greenland employing multiple vegetation indices with satellite data\.

## Education

Master's degree, Data Science, Sri Sathya Sai Institute of Higher Learning

Bachelor's Degree, Computational Science, Sri Sathya Sai Institute of Higher Learning

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

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