University of Illinois- Urbana Champaign

Masters in Computer Science (Artificial Intelligence Concentration)

Deep Learning for Computer Vision, Artificial Intelligence, Text Information Systems, Topics in Large Language Model (LLM) Agents, Cloud Computing Applications, Ethics in Artificial Intelligence

Purdue University in Indianapolis

Bachelor of Science in Computer Science with Honors

Minor in mathematics

Data Science, Cloud Computing, Data Mining, Data Structures, Operating Systems

Machine Learning Intern | STEM non-profit

• Developing experimental ML pipelines for non-linguistic acoustic affective modeling; working with spectrogram analysis, embedding evaluation, and transfer learning across human and wildlife vocalization datasets to support AI-driven conservation monitoring in real rainforest environments.

Data Science Intern | OFR Telecom Private Limited

• Cleaned and analyzed multi-SKU inventory time series data using Python (Pandas, NumPy); addressed issues like missing weeks, outliers, and inconsistent stock records.

• Implemented and evaluated models (ARIMA, XGBoost, LSTM) to improve forecast accuracy on internal inventory datasets, leading to a reduction in MAE by ~2% in test simulations.

• Documented key learnings and presented insights to the operations team, including a practical summary of which models performed better.

Cloud Engineer Intern | Sallie Mae

• Refactored 2,000 lines of code into Python, resulting in a reduction in execution time.

• Developed a console application that calculated expenses associated with Green Accounts, resulting in a 15% reduction in cost.

• Leveraged AWS services (S3, CloudWatch, Cost Explorer, Lambda, Boto3) to proactively address emerging technological requirements, enhancing operational efficiency.

Research Fellowship | CI Compass

• Researched the data lifecycle within the National Solar Observatory and suggested improvements to their data transfer systems.

• Interacted with professionals in major facilities and participated in workshops covering the topics: High-Performance Computing, Cloud Services, and FAIR Data.

Data Engineer Intern | ShipSigma

• Designed the data pipeline architecture using Amazon S3, AWS, Snowflake, and Azure, enabling the processing of 0 to 100,000 daily data points.

• Automated the data flow, achieving an accuracy rate of 94% and identifying and resolving coding issues and data exceptions.

• Ingested data from various sources and deployed over 4 Tableau dashboards using SQL and Azure.

Project Manager | TechPoint

• Created team's final pitch using Environmental Analysis, Empathy Mapping, Business Model Canvas to present to 5+ investors.

• Worked on the final Pitch Deck for the team and designed a technical solution for Esports coaches and K-12 students to organize, interact, and educate about Esports.

• Developed interactive web-app using Figma in 5 weeks to enhance sports team organization.

• Collaborated remotely with 3+ programmers and marketing team for 20+ hrs/week with guidance from industry experts.

Clinic Fellow @ CRISP IUPUI| ProAct Indy

• Researched and curated a survey for about 50 students on civic behaviors and engagement topic to conduct a research to assess students' behavior after attending ProAct Indy’s curriculum.

• Remodeled the data to forecast the behavioral progress in students.

• Collaborated with mentors, students and other staff to document the progress.

Undergraduate Student Researcher | Center for Research and Learning, IUPUI

• Project Name: Nanovision

The long-term goal of this project is to create an immersive learning environment that is publicly available for nanoscience and nanotechnology education. Our central hypothesis is that by creating a VR or AR environment, we can bridge the gap between higher education and the public about one of the exciting and relevant topics of our internet-of-things life. Additionally, by creating such environments, we will take steps towards more effective and engaging online education in nanoscience and nanotechnology.

SAVI Data Analyst Intern | The Polis Center

• Collecting, organizing, visualizing and disseminating tabular and spatial data.

• Generating static and possibly web-based maps and responding to SAVI user requests that go beyond what can be done in SAVI’s online interface.

Undergraduate Student Researcher | Center for Research and Learning, IUPUI

• Project Name: Developing Novel Approaches to Thin Film Microscopic Image Analysis

Utilized Atomic Force Microscopy (AFM) data, employing image classification and segmentation algorithms, along with machine learning, to analyze and distinguish different material phases in 3D. The project also involved implementing automation for processing techniques to enhance accuracy, exploring novel image processing methods, and extracting information beyond standard ISO measures from AFM datasets.

Undergraduate Student Researcher | Center for Research and Learning, IUPUI

• Project Name: Controls on the Isotopic Composition of Modern Precipitation in the Midcontinental United States.

• Utilized the NOAA Hysplit model to generate data for studying the impact of distance, humidity, and precipitation on the climate in the Midwestern region.

• Investigated variations in isotopic composition of precipitation as a means to discern the origin and seasonality of air masses, contributing valuable insights into regional climate dynamics.