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Rachana Varsha

@rachanavarsha

AI/ML Engineer at KGS Technology Group who shipped MLOps workflows and a Text-to-SQL agent that cut query-authoring effort by 60%.

India

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At KGS Technology Group, I architected modular ML training pipelines and built MLOps tooling for experiment tracking, model versioning, and feature stores. I also implemented RAG workflows and model-health monitoring to support reproducible training and catch drift.

At OnTrac, I designed a Text-to-SQL agentic pipeline on GCP that reduced analyst query-authoring effort by 60%. I’ve also built data pipelines at Galaxy Technologies and developed VoiceVibe Insight, a real-time sentiment-analysis app at ShineOnYouth.

Experience

Work history, roles, and key accomplishments

Data Engineer

Galaxy Technologies

Jan 2026 - Jul 2026 (6 months)

Designed optimized Snowflake schemas and advanced SQL tuning to improve query performance and reduce storage costs. Built Python/SQL ETL/ELT pipelines on Airflow, reducing pipeline failures by 35% and leading a SQL Server to Snowflake migration.

Snowflake SQL Server SQL Python Airflow ETL ELT Query Optimization Data Warehouse Migration

Machine Learning Engineer

KGS Technology Group

Jun 2025 - Dec 2025 (6 months)

Architected modular ML training pipelines and built end-to-end MLOps tooling including model versioning, experiment tracking, and a feature store. Deployed distributed inference pipelines and implemented RAG workflows with vector search, plus model-health monitoring and CI/CD for ML services.

Machine Learning MLOps Model Versioning Experiment Tracking Feature Stores RAG Vector Search CI CD Containerization Drift Monitoring Distributed Inference Python

Data / AI Engineer

ShineOnYouth

Oct 2024 - Jun 2025 (8 months)

Built VoiceVibe Insight, a real-time sentiment-analysis web app using Flask and Web Speech API, and implemented data-pipeline monitoring to detect schema inconsistencies and anomalies.

Flask Speech APIs Sentiment Analysis Data Pipeline Monitoring Python

AI / Data Engineering Intern

OnTrac

Jul 2024 - Oct 2024 (3 months)

Designed and deployed a Text-to-SQL agentic pipeline on GCP Vertex AI, reducing manual SQL-authoring effort. Built an LLM conversational chatbot with prompt chaining and guardrails, and developed BigQuery ELT workflows, cutting production data incidents by 28%.