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SENIOR DIRECTOR, AI & DATA SCIENCE @ ORACLE | GENAI SYSTEMS | ENTERPRISE AI STRATEGY | RAG, AGENTS & LLMs
AI LEADER | 4x PATENT HOLDER | 8x PUBLICATIONS | AUTHOR | SPEAKER | GENAI & ENTERPRISE AI 14+ years in building and scaling ML/NLP/GenAI systems across domains like HCM, Media, Clinical Trials, Customer Care, and Enterprise Productivity. CURRENTLY: Senior Director of AI @ ORACLE → Built Oracle's Generative AI Platform used across Fusion Apps → Delivered Enterprise Scale RAG Pipelines, LLM Agents, Prompt Evaluation Frameworks, and Guardrails → Driving AI Innovation across HCM, SCM, and CX with Secure + Scalable GenAI tools PAST IMPACTS → At COMCAST: Built REAL-TIME PERSONALIZATION + Voice AI for 25 million users and billions of customer interactions (X1 Remote) → At IQVIA: Designed Clinical Trial Optimization Techniques like Patient Matching → At AOL: Scaled NLP Pipelines to parse and personalize Billions of emails/day INVENTOR of 4 US PATENTS → Vector Space Transformation, Content Personalization, Skill Ontology, and Hierarchical Classification AUTHOR of 2 TECHNICAL BOOKS → "Agentic Workflows for Enterprises" → "Data Engineering Essentials" RESEARCH & THOUGHT LEADERSHIP → Published on RAG Systems, Multimodal AI, Skill Graphs, AI Bias Mitigation, and Prompt Lifecycle Management → Speaker at SPARK Summit, STRATA + HADOOP, and various industry forums → Cited on [Google Scholar](https://scholar.google.com/citations?user=HYitiUkAAAAJ) → Cited on [Research Gate](https://www.researchgate.net/profile/Shekhar-Agrawal-3) TECH STACK → GENAI: Langchain, RAG, Prompt Evaluation, Guardrails → ML/NLP: SpaCy, Scikit, Gensim, SparkML → PLATFORM: Python, Java, Elasticsearch, Kafka, Docker, K8s, Hive WHAT DRIVES ME: → Designing Scalable AI Systems that are not only SMART but also Safe, FAIR, and Production-ready → Leading HIGH-IMPACT teams that blend Research Depth with Product Speed
University of Cincinnati
Masters in Science, Electrical Engineering
January 1, 2009 – January 1, 2011
Birla Institute of Technology, Mesra
Bachelor of Engineering - BE, Electrical and Electronics Engineering
August 1, 2003 – May 1, 2007
Birla Institute of Technology, Mesra
BTech, Electrical and Electronics Engineering
January 1, 2003 – January 1, 2007
DAV JVM Shyamali
High School, Science
January 1, 1999 – January 1, 2001
ST. Xavier's school
Grade 10, Science
January 1, 1990 – January 1, 1999
Oracle
Senior Director Data Science
February 1, 2021 – Present
Oracle
Director Data Science/Engineering
July 1, 2018 – January 1, 2021
QuintilesIMS
Associate Director Machine Learning
May 1, 2017 – July 1, 2018
Plymouth Meeting, Pennsylvania
Comcast
Director, data science
May 1, 2015 – May 1, 2017
Comcast
Senior NLP Researcher
June 1, 2014 – May 1, 2015
AOL
Machine Learning Engineer
February 1, 2012 – June 1, 2014
Dulles, VA
Convergys
Summer Intern
July 1, 2011 – September 1, 2011
Cincinnati, Ohio Area
University of Cincinnati
Research Assistant
October 1, 2010 – December 1, 2011
University of Cincinnati
Teaching Assistant
January 1, 2010 – December 1, 2010
PricewaterhouseCoopers
Consultant
July 1, 2007 – August 1, 2009
Automated Ice Monitoring System for the Veterans' Glass City Skyway Bridge at Toledo
March 1, 2012 – Present
Master Degree Thesis
Design and evolution of two different artificial organisms - prey and predator
April 1, 2010 – June 1, 2010
Modelled two species, one a prey and the other a predator, and placed them in a common dynamic evolving environment with the aim of observing the co-evolution of both species with corresponding phenotypic and behavioral alterations.
Cultural Fit Analysis
The candidate has a diverse project background, including academic research in automated monitoring and artificial organism evolution, alongside extensive industry experience across various domains (telecom, healthcare, enterprise software). The progression through leadership roles at major companies like Oracle, Comcast, and AOL suggests adaptability and a drive for growth. While the target role is 'Data Analyst', the candidate's experience is significantly more senior and focused on Data Science/ML leadership, which might indicate a mismatch in scope or a potential for overqualification for a pure analyst role. The breadth of skills in AI, ML, NLP, and big data technologies aligns with a data-driven culture.
Soft Skills & Operational Fit
The candidate's career progression from Machine Learning Engineer to Senior Director Data Science at Oracle indicates strong leadership, project management, and team development skills. Experience in cross-functional collaboration and fostering continuous learning suggests a positive operational fit. The descriptions highlight strategic thinking and the ability to drive complex AI product development from inception to GTM.