Successfully drove technical wins for 20+ new and expansion deals leading to over $6M in annual recurring revenue. Lead SE on largest win in company history (>$11M TCV).Supported customers post-sale in combination with customer success and customer support organizations to maintain a >90% renewal rate in my accounts.Worked with professional services organization to scope technical SOWs in my accounts leading to over $320K in engagement revenue.Mastered technical concepts pertaining to Neo4j and its ecosystem of tools and communicated them effectively in presentations and courses, educating and training 100s of prospect and customer stakeholders across many verticals.Played a leading role in the SE organization and beyond in developing approaches to integrating generative AI solutions with knowledge graphs and taking those approaches forward to prospects and customers.Created 10+ custom demos showcasing Neo4j capabilities like graph data querying, graph data science algorithms, and integrations with external tools in AWS, GCP, and Azure (some specific integrations include LLM, DataBricks, GraphQL, BigQuery, Kafka, Docker/Kubernetes, React/Next.js, Python, Apache Arrow, Apache Hop, Keras/TensorFlow, etc.).

Provided strategic input and advice for operation of company.

Developed grphr.com, both the website and the software, using Node.js, React, Firebase, D3.js, Neo4j, and other tools. The application allows users to upload datasets and interact with graph visualizations of their data that are automatically-generated.Executed client projects involving Twitter data extraction and analysis, data environment modeling, and knowledge graph construction.Implemented novel methods for inferring an internal graph structure from input datasets and facilitating fast and intuitive navigation of that structure.Collaborated with founding team to formulate the go-to-market strategy and develop the brand vision.Conducted market research to validate the importance of graph data visualization and its applicability to a set of initial target use cases.

Managed development of business process discovery tool that ingests event logs and knowledge documents and generates process maps, eliminating weeks of work for process automation consultants.Conducted research on machine learning algorithms and mathematical modeling to enable product development in the Intelligent Automation Innovation Center.Leveraged Bluemix and Watson Conversation to develop a vendor-facing ticketing system on top of a NoSQL database and a chatbot to assist employees with the most common types of process and ticket resolution queries.Utilized IBM NLP solutions, including Watson Explorer and Watson Natural Language Classifier, to extract event indicators and assign risk scores to documents from corpus of ~1M news articles.Developed neural network models to rank sales leads in SPSS and leveraged the generated predictive model markup language (PMML) to create a Java algorithm for model deployment in arbitrary Java-based environments.Created graph-theoretic NLP algorithms using VBA, R, Python, and IBM NLP tools to categorize incoming customer calls by content for a call center.Created procedures for extracting geospatial data from the Internet, uncompressing it with Java command line tools, and querying it with Python.Developed Python-based tools to extract releases from corporate news sites and store them in collections for analysis.

Graded assignments and provided study assistance to 66 students across 2 course sections.Provided research assistance to professor to whom the position reported.

Worked in Global Customer Insights and Analytics for Sam's Club.Analyzed large datasets (millions of records by thousands of variables) using SAS Enterprise Guide and Enterprise Miner as well as SQL via Teradata.Developed procedures to group merchandise goods by similarity using SAS, SQL, and VBA and documented methods of application to marketing processes.Reviewed, influenced, prepared, and presented analysis deck from Experian analyzing optimal member contact cadence with respect to tenure, engagement, and membership type.

Resolved student issues arising from application for and receipt of financial aid, aiding ~50 students per week and up to 200 students per week in peak times.Provided support to counseling (50% of time), data processing (25%), loan origination (15%), and administrative (10%) functions of office.Referenced student accounts and documented solutions in Banner Production System.

Collaborated with SAGIndie to administer ~20 professional-led roundtable discussions to provide students with insight into various aspects of the movie business, including producing, directing, acting, writing, legal, talent representation, and publicity management.Conducted academic research for the Institute for Interdisciplinary Art and Creative Intelligence (IIACI) and wrote a short screenplay trilogy (“Un-Vibe”).

Participated in land surveying, particularly in the boundary crew, for the purpose of generating accurate property maps for the civil engineers.

Assisted customers and sold plants, mulch, and statues.Watered and cared for plants and provided general maintenance for the office and grounds.