Building an AI-driven federal contract intelligence system end to end for a government contracting firm, shifting business development from reactive to proactive.

• Architected a three-layer AI pipeline integrating SAM.gov, USASpending.gov, and other federal data sources to surface contract opportunities 3 to 18 months before public posting
• Built Python data ingestion pipelines against federal REST APIs, resolving real production constraints including rate limits, pagination, and reconciliation across inconsistent data sources
• Migrated the system’s core reasoning layer from Gemini to Claude Sonnet 5 mid-project, redesigning the underlying LLM client architecture without interrupting production use
• Directed an AI-driven research pipeline over a 12,000+ document internal archive to reconstruct institutional win/loss history, enforcing strict sourcing and data-security protocols

Supporting research under Prof. Mohsen Foroughifar, Prof. Minkyung Kim, and Prof. Joy Lu on large-scale digital advertising and bidstream data analysis.

• Analyzed millions of advertising and bidding records to study user behavior, auction dynamics, and revenue patterns across channels
• Built funnel-based and transition-based analyses to understand bidder movement, win patterns, CPM/RPM behavior, and session-level outcomes
• Worked with aggregated and granular datasets to compare behavioral and monetization shifts across time periods
• Translated complex analytical findings into structured summaries, metrics, and decision-oriented insights for research discussions

Conducted large-scale data analysis on U.S. copyright registrations under Prof. Rahul Telang.

• Cleaned, classified, and analyzed large motion picture and film-related registration datasets
• Studied major copyright holders and the types of works they registered, including scripts, soundtracks, and full films
• Used text-based analysis and structured metadata to identify long-term registration patterns and trends

Worked on data-driven economic and industry analysis to support strategic decision-making.

• Built regional and industry economic indices and interactive dashboards for business users
• Analyzed time-offset relationships and behavioral patterns across sectors using structured data workflows
• Translated analytical findings into business-facing insights for decision support

Supported research on app usage behavior for the HumSafer driver-safety initiative under Prof. Uttara Ananthakrishnan.

• Analyzed concurrent mobile app usage patterns to uncover behavioral and engagement trends
• Built visualizations and summaries to communicate insights clearly to research stakeholders
• Contributed to data-driven recommendations aimed at improving user safety outcomes

Worked across consulting and engineering projects spanning dashboards, digital transformation, and generative AI applications.

• Developed React-based dashboards and admin workflows for a state government institutional ranking platform
• Integrated backend APIs and designed interfaces for public users, officials, and administrators
• Built document-focused AI solutions using Flask, React, Azure, OpenAI GPT models, and Llama-based workflows
• Collaborated with technical and non-technical stakeholders to translate requirements into practical solutions

Contributed to technology consulting and software delivery projects across engineering and IT assessment work.

• Supported Java and React-based application development during client delivery
• Participated in IT due diligence for a healthcare application and identified key improvement areas
• Helped define a technology roadmap focused on infrastructure reliability, security, and engineering efficiency
• Contributed to code migration and version-control improvements that reduced development cycle time

Graduated from Carnegie Mellon University with a focus on the intersection of technology, analytics, and business problem solving. Courses included:

• Machine Learning in Production
• Generative AI Lab
• Data Science for Product Managers
• Distributed Systems
• Machine Learning (10-601)
• Database Management
• Object-Oriented Programming (Java)
• Digital Transformation
• Managing Disruptive Technology
• Decision Making Under Uncertainty