Summary
Siddharth Modala is a software engineering team lead with 12 years of experience designing high-performance search and data analytics platforms, currently leading efforts at Bloomberg to improve search relevancy through NLP-driven intent and entity extraction. He has deep hands-on expertise with Apache Solr, Lucidworks Fusion, and Apache Spark, having built distributed schemas, low-latency indexing pipelines, and Learning-to-Rank systems that process millions of documents and deliver sub-second query responses. His background includes building enterprise search for Morgan Stanley at terabyte scale, intraday Scala ingestion frameworks, and analytics dashboards that replaced slower BI approaches. A quick learner and mentor, he blends applied research from a Rutgers CS master's with pragmatic engineering to turn complex data into actionable insights. Notably, he pairs classical IR tuning (caching, commit strategies, faceting) with modern NLP techniques to bridge relevance engineering and user intent modeling.
12 years of coding experience
12 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Master's Degree Computer Science, Master's Degree Computer Science at Rutgers University
English, Hindi, Telugu