As a Project Lead at Whiting-Turner, I drive the development of impactful software solutions for job sites, restructuring a database of over 1 billion data points into job site-specific databases, resulting in 80% faster query times and enhanced scalability. I focus on integrating on-site sensors to streamline data processing and reduce refresh times, ultimately transforming operational workflows and improving project management insights.In addition to project leadership, I consult on technical solutions and advocate for AI adoption to minimize manual labor, allowing project managers to allocate their time more effectively. I also contribute as a technical consultant on side projects, including programming a mobile application for mega-project task management and exploring computer vision applications for safety and security on construction sites.Recently, I led the development of a scalable task management system by architecting the backend and optimizing system logic, which reduced scheduling delays by 12%. I created a robust framework to support junior intern expansion, offering technical mentorship and fostering a scalable foundation for future growth.

At Global Scope Research Lab, Questrom School of Business, Boston University, as a Research Assistant, I spearheaded the analysis of a massive 32 GB dataset from the US Patent Directory. This involved uncovering key innovation trends surrounding Hurricane Katrina, utilizing advanced tools like NumPy and Dask for data processing on a shared computing cluster. My efforts streamlined the workflow for extracting scalable insights into patent trends, significantly contributing to the understanding of disaster-driven innovation dynamics. Collaborating closely with fellow researchers, I also played a pivotal role in merging patent data to inform post-disaster policy and strategy, marking a notable contribution to the lab's research capabilities and impact.

Developed an advanced educational chatbot using Meta AI’s Nougat for high-accuracy OCR and Pinecone for vectorized data handling, improving content delivery by 50%. Spearheaded the integration of professorial materials into dynamic, personalized student support systems through OCR-to-MultiMarkdown translation. Collaborated with a cross-functional team, engaging nine university AI boards to drive platform adoption and increase engagement. Played a pivotal role in refining the chatbot’s performance, enabling seamless processing of large academic datasets.

Full-stack developer specializing in AI-driven solutions, developing advanced OCR/KIE applications for cloud server deployment using technologies like Mindee’s OCR, FastAPI, and React Native. Achieved a 25x reduction in transcription time by automating on-field form processing with OCR and LLM to convert data into structured JSON. Enhanced recruitment processes through Power BI and Microsoft Forms automation, significantly improving data retrieval efficiency. Spearheaded AI adoption by developing MVPs and proof-of-concept documentation, presenting to senior management. Contributed to the development of a standardized Waterfall methodology for technology projects, creating comprehensive documentation to ensure smooth implementation by future teams.

SaaS Marketing Director at a start-up tech company, Polyglot AI. Driving revenue by developing interpersonal relationships with clients. Conducting market research to target clients and highlight tailored value acquisition.

Efforts in the medical industry to collect lost revenue through automated techniques. Worked on a machine learning model to automate the billing process. Assist in managing the company finances and increasing productivity. Work with leading medical clients in Southern California to maintain websites including California Heart Associates, Bay Rehabilitation, Prosperity MD, and more. Worked on obtaining patents and headed engineering through feasibility reports, designing, producing, prototyping, and meeting with manufacturers.

Research efficient platforms for the company to use. Investigate, report, and fix bugs found in the CAPS-5 PTSD Simulator. While interning, I worked with developers to improve the functionality of CAPS-5 app. Contributed through website testing and reporting bugs. Worked through multiple Agile workflow cycles in my time with the company.

Researched and tested potential indicators to predict profit gains and losses using T-Tests, Pearson Correlations, and linear regressions on project data from 2014 to 2021. Assisted in designing a workflow to collect features from data sources including safety and Quality Control reports, project schedules, and financials.