RSS RoboReps Workshop Paper

• Conducting RL/NLP/CV research in the Intelligent Robot Lab under Prof. George Konidaris, focusing on Robot Planning and 6D Pose Estimation/Manipulation

• Built an active learning framework that leverages foundation models to autonomously learn symbolic abstractions of robot skills, enabling zero-shot task planning with PDDL-style operators

• Co-Authored Paper in RSS Workshop on Learned Robot Representations (RoboReps); submitting full manuscript to [...] soon

ArXiv Preprint, Under Review

Presentation at The Gilbert W. Beebe Symposium

• Conducted Computational Oncology research in the Center for Radiological Research & Department of Radiation Oncology under Prof. Igor Shurak

• Developed CAST, a novel framework for causal survival forests to model the time-varying treatment effects across medical interventions; First Author, under review at [...]

• Analyzed Radiotherapy Effects on HNSCC Prognosis (Oropharyngeal Cancer) through Causal ML, optimizing models through cross-validation, hyperparameter tuning and simulation BED validation

• Second Author (for all 4) in the International Journal of Radiation Oncology • Biology • Physics (Red Journal), ASTRO Annual Meeting, Gilbert W. Beebe Symposium on AI/ML Applications in Radiation Therapy, and Yale School of Medicine

• Developed Generative AI application with automated ingestion, transformation, and querying of operational data using AWS S3, Lambda, Glue, Athena, and OpenSearch

• Built a Retrieval-Augmented Generation (RAG) architecture integrating AWS Bedrock to support natural language queries across structured and unstructured enterprise data

• Designed a secure, containerized CI/CD infrastructure using Docker, Amazon ECS Fargate, CodePipeline, and CloudWatch for reliable deployment, monitoring, and access control

• [Recieved Full-Time Return Offer] & 4x AWS Certified: Solutions Architect + ML Engineer Associate, AI + Cloud Practioner

NASA Publication in IEEE WiSEE

My Intern Exit Presentation

• Conducted Antenna Data Science research on Wi-Fi signal propagation for pressurized spacecraft; used ISS signal surveys from Astrobee, NASA's autonomous free-flying robot

• First Author NASA publication in IEEE International Conference; research used for future missions such as the Artemis program, Lunar Gateway, Orbital Reef; publication is first in the field; received $1.5k award from the NASA Rhode Island Space Grant

• Spearheaded Python/Bash/Flux scripts for real-time KPI network monitoring of Lunar Wi-Fi and 3GPP (4G LTE) field testing; fixed issues related to GPS tracking, TCP/UDP/RSSI, GUI systems, and iperf on LattePanda SBCs

• Developed visualization software using InfluxDB, Grafana, and Docker; wrote YAML file to auto-configure JSON dashboards as provisioning text files for version control; wrote design docs & presented to Division Chief - [Received Return Offer to any NASA Space Center]