Presentations:
- Semantic Search Journey @CareerBuilder (Open Data Science Conference, West 2016)
- Chief Data Scientist Forum, USA 2016
- Building Real Time Entity Type Recognition Engine to Improve Query Understanding (Artificial Intelligence Summit 2016)
- Improving Customer Understanding and Satisfaction with Data Science: CareerBuilder Case Studies (Customer Analytics Innovation Summit 2016)
- Fully Automated QA System for Large Scale Search and Recommendation Engines Using Spark (Spark Summit SF 2016)
- From Keyword-based search to language-agnostic semantic search: Careerbuilder case study (The Data Science Conference 2016)
- Reflected Intelligence: Evolving self-learning data systems
(Georgia Tech '16) (Video coming soon) - Query Sense Disambiguation Levereging Large Scale User Behavioral Data
(IEEE BigData'15) - PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data
(IEEE BigData'14) - From Keyword-based Search to Semantic Search, How Big Data Enables That
(CB TechTalk'15) - Scaling Up Machine Learning Algorithms to Handle Big Data: PGMHD as Use Case
(PhD defense'14) - Big Data for Bioinformatics
(Research Meeting'12)
