Summary
Aditya Mahaddalkar is a software engineer with nine years of experience building data-driven systems, currently working on Google Ads after recent roles at a stealth startup and Incedo where he led Knowledge-as-a-Service efforts using GPT-4, Gemini, Langchain and knowledge graphs. He has a strong ML and data engineering background from internships and roles at Fabletics, Deutsche Bank, BMC, UBS and BMC, delivering production NLP and recommendation systems that increased revenue and reduced query resolution time. At Fabletics he designed a GPT-4 based reviews summarizer and sentiment pipeline and improved recommendation throughput with Databricks, Snowflake and Spark, contributing directly to a measurable $25K monthly uplift. His early work includes high-volume financial streaming systems and an Elasticsearch NLP interface that translated English queries into ES queries with >85% accuracy for simple cases. Pursuing an MS in Computer Science at USC, he blends academic rigor with practical cloud-native deployments on Azure and BigQuery optimizations. He’s pragmatic about shipping AI-powered features and has repeatedly turned prototype LLM workflows into scalable production services.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Pune Institute of Computer Technology