Netravati Shivayogimath profile photo 1 on Tal

Netravati Shivayogimath

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

India

1+ year of work experience

YOptima
Jul 20257 mosJan 2026

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.
Centre for Artificial Intelligence & Robotics, DRDO
Oct 20245 mosFeb 2025

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.
Excelerate
Feb 20242 mosMar 2024

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%.
Acmegrade
Jan 20232 mosFeb 2023

Bengaluru, Karnataka, India

Successfully completed this project based internship as Artificial Intelligence intern.

Netravati’s AI Stack

gemini
gemini
hugging face
hugging face
langchain
langchain
openai
openai

Education

Visvesvaraya Technological University (VTU)

Bachelor of Engineering - BE, Artificial Intelligence and Data science

Visvesvaraya Technological University (VTU)

20232 yrs2025

Diploma, Civil Engineering

Maratha mandal polytechnic

20184 yrs2022

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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