Aditya Garg

Architected a production-grade Agentic AI platform used by 600+ employees, maintaining 72% accuracy for 950+ weekly prompts. Engineered intent-based routing and deployed Snowflake Agents to autonomously query semantic views.

Drove strategic influence across marketing campaigns, supporting 30+ stakeholders and achieving 16% lift in Applies YoY with 13% reduction in CPA. Developed data pipelines using Airflow, Python, and SQL to provide business insights.

Detected a DDoS attack on the ML-Ops platform, saving $300K and reducing cloud infrastructure spend by 25% monthly. Managed data integration needs by developing ETL scripts and workflows for the finance system.

Handled end-to-end data generation for Salesforce bulk account creation, performing data validation, process automation, and reporting. Cleaned and enriched GCP global sales data for high-level business accounts.

Scraped key metrics for 50,000+ companies using Google Custom Search, Selenium, and LinkedIn REST API. Performed NLP using fuzzy string-matching and NER for improved client targeting.

Identified 5,500+ new clients by applying a KNN clustering model on Amazon's scraped e-commerce data using SQL Server. Reduced shipping costs by 40% and lead time by 60% for these clients.

Master of Science in Information Technology Management from The University of Texas at Dallas, completed in August 2019.

Bachelor of Engineering in Information Technology from the University of Mumbai, completed in May 2017.