---
title: "Netravati Shivayogimath - Cloud Application Engineer in India | Tal"
description: "Meet Netravati Shivayogimath, AI and Cloud Engineer | Ex - DRDO | Ex - Cloud Application Engineer @Yoptima | GenAI • Python • NLP • GCP • ML • Scikit-learn | based in India. AI stack includes gemini, hugging face, and langchain."
image: "https://tal.club/meet/netravati/share-image"
---

# Netravati Shivayogimath on Tal

## Headline

AI and Cloud Engineer \| Ex \- DRDO \| Ex \- Cloud Application Engineer @Yoptima \| GenAI • Python • NLP • GCP • ML • Scikit\-learn \|

## About

AI & Cloud Engineer with 1 year of production experience building data pipelines, ML systems, and GenAI\-powered tools\. At YOptima, I built BigQuery analytics infrastructure and alerting systems for high\-traffic AdTech bidding pipelines, reducing data retrieval\. At DRDO\-CAIR \(Defence R&D\), I engineered a complete offline NLP document intelligence platform from scratch, a multi\-format ingestion, word embeddings, clustering, and evaluation\. My stack: GCP · BigQuery · Python · Scikit\-learn · Gemini API · NLP/LLMs · Docker · Streamlit IEEE\-published researcher \(GITCON 2025\)\. Databricks\-certified in Generative AI\. I'm actively seeking AI/Data Engineering roles in the Netherlands and am open to visa sponsorship\. If you're hiring or know someone who is let's connect\. 📍 Based in India · Available for on\-site or remote

## Location

India

## AI stack

gemini

hugging face

langchain

openai

## Work experience

Cloud Application Engineer at YOptima, Jul 2025 \- Jan 2026 · 7 mos, Bengaluru, • Designed and maintained BigQuery tables and Apache Superset dashboards, translating raw AdTech pipeline data into performance reports for senior business and operations teams to support acquisition decisions\. • Optimized BigQuery SQL transformation workflows, reducing data retrieval and preprocessing time by 30%, directly improving decision speed for high\-traffic AdTech bidding pipelines\. • Wrote SQL mapping logic to unify Plane Line Item \(PLI\) data with third\-party DV360 datasets, improving accuracy of advertiser performance dashboards\. • Built data\-freshness monitoring by comparing BigQuery ingestion timestamps against T\-1 benchmarks, enabling proactive detection of data quality anomalies\. • Designed an intelligent alerting framework on Cloud Run with duplicate\-suppression logic, reducing false\-positive alert fatigue for data engineering and business stakeholders\. • Applied GenAI \(Gemini API / LLM\) capabilities to internal workflow automation, exploring AI\-powered approaches to accelerate data processing and business operations\. • Collaborated cross\-functionally with Data Engineering, Business, and Operations teams to gather reporting requirements, validate data, and deliver analytics solutions\.

AI/ML Trainee at Centre for Artificial Intelligence & Robotics, DRDO, Oct 2024 \- Feb 2025 · 5 mos, Bengaluru, • Engineered a complete end\-to\-end NLP document intelligence platform, fully offline and air\-gapped, for extracting, structuring, and analyzing unstructured intelligence documents across PDF \(PyPDF2\), DOCX \(python\-docx\), TXT, and log formats\. • Built configurable text preprocessing pipelines: tokenization, stopword removal, stemming \(Porter Stemmer\), lemmatization \(WordNet\), and regex\-based cleaning, transforming noisy documents into ML\-ready datasets\. • Implemented three word\-embedding techniques \(BoW via CountVectorizer, TF\-IDF, Word2Vec via Gensim\) in a modular architecture enabling document similarity detection and semantic pattern analysis\. • Designed and implemented four clustering algorithms, K\-Means \(Elbow/WCSS\), MiniBatch K\-Means, Agglomerative Hierarchical \(Ward linkage\), and DBSCAN \(cosine metric\), applied to PCA\-reduced document vectors for thematic grouping\. • Evaluated clustering quality using Silhouette Score and Davies\-Bouldin Index, enabling rigorous data\-driven comparison across algorithms, validated through 10 structured test cases \(9/10 Pass rate\)\. • Built a JustPy\-based interactive web GUI with real\-time PCA cluster visualizations, configurable preprocessing controls, and tabular cluster summaries for internal research teams\.

Project Trainee at Excelerate, Feb 2024 \- Mar 2024 · 2 mos, United States, • Designed AI\-driven ML models boosting performance and scalability by 25%, enabling more efficient data processing for global business applications\. • Partnered with an international cross\-functional team to integrate AI solutions, accelerating project delivery timelines by 15% and reducing computational overhead by 30%\.

AI Intern at Acmegrade, Jan 2023 \- Feb 2023 · 2 mos, Bengaluru, Karnataka, India, Successfully completed this project based internship as Artificial Intelligence intern\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Data science, Visvesvaraya Technological University \(VTU\)

Diploma, Civil Engineering, Maratha mandal polytechnic

[View the original profile](https://tal.club/meet/netravati)

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