Sep 2025 – Present · 6 mos

• Develop a Computer Vision based approach using YOLOv8 for determining pedestrian and motor vehicle behavior causing near-collision situations.
• Generate 3D reconstructions of roadway environments from drone imagery and street-level data.
• Integrate GIS-derived datasets (road geometry, traffic density, pedestrian flows) into VR simulations.
• Apply spatial metrics to identify high-risk zones and patterns of conflict, informing urban safety planning.
• Present findings through maps, 3D visualizations, and technical reports, demonstrating the application of GIS and photogrammetry to transportation research.

May 2025 – Present · 10 mos

• Deliver expert GIS consultations and technical support to students, faculty, and researchers across NYU, guiding spatial components of academic and applied research projects.
• Facilitate spatial analysis, cartographic design, and geospatial data processing using ArcGIS Pro, ArcGIS Online, QGIS, and open-source tools.
• Lead workshops and create instructional materials on GIS methodologies, tools, and applications to advance spatial literacy and data-driven research.

May 2025 – Sep 2025 · 4 mos

Oct 2024 – Present · 1 yr 5 mos

• Curate and maintain a comprehensive catalog of 100+ data sources from past CUSP research and capstone projects to support future student and faculty work.
• Support archival initiatives including the CUSP Media Archives and Capstone Archives, ensuring organized and accessible documentation of institutional research outputs.
• Assist in planning and executing educational events, workshops, and academic programs; manage internal and external communications to coordinate logistics and stakeholder engagement.

Sep 2025 – Present · 6 mos · New York, United States

• Founding President of ASPRS - New York University Chapter

Jun 2023 – Jul 2023 · 1 mo · Bhopal · On-site

• Collaborated with multi-disciplinary teams on a Government of India-funded project focused on Universal Design in Heritage, contributing to the development of a universal accessibility-based tourism application that enhanced inclusivity for 10,000+ visitors.
• Extracted and analyzed over 5,000 accessibility-related data points using Python libraries such as BeautifulSoup, Selenium, and pandas, applying deep learning models like BERT, VADER, and GANs to conduct comprehensive data analyses.
• Engineered automation for accessibility feature assessments using deep learning models (GANs, R-CNN), increasing analysis efficiency by 30% and improving the accuracy of evaluations for 1,000+ data points related to persons with disabilities.
• Conducted GIS-based accessibility audits using ArcGIS Pro to assess spatial patterns, identify barriers, and evaluate walkability and transportation routes, resulting in optimized universal design features that improved access for 15,000+ daily users.

Jun 2022 – Aug 2022 · 2 mos · Vijayawada, Andhra Pradesh, India

• Engaged with 50+ slum dwellers in flood-prone areas, conducting detailed surveys to assess their quality of life, identify key needs, and collect 300+ data points for the development of targeted flood mitigation strategies, contributing to the protection of 1,000+ households.
• Utilized EPANET software to perform hydraulic modeling, optimizing water distribution systems and improving water efficiency by 20% in the targeted area.
• Conducted traffic flow analysis using VISSIM, identifying congestion points and proposing vending zones and Non-Motorized Transport (NMT) lanes that resulted in a 12% reduction in traffic accidents.
• Contributed to the corridor improvement plan by integrating pedestrian and non-motorized transport-friendly features leading to an estimated 25% increase in pedestrian safety and smoother traffic flow along 6+ critical city corridors.
• Utilized ArcGIS Pro to map flood-prone areas within the city, integrating hydrological, topographic, and land-use data, to generate high-resolution flood risk maps that informed multi-layered flood mitigation plans, benefiting 5,000+ residents in vulnerable zones.
• Facilitated 4+ cross-sectoral stakeholder meetings, bringing together bureaucrats, municipal officials, private consultants, local businesses, and community leaders, to collaboratively develop a comprehensive Transit-Oriented Development (TOD) plan, impacting 25,000+ daily commuters.