RSS RoboReps Workshop Paper

• Conducting RL/NLP/CV research in the Intelligent Robot Lab under Prof. George Konidaris, focusing on Robot Learning and 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

• Sixth Author Paper in RSS Workshop on Learned Robot Representations (RoboReps)

Publication at 3 NeurIPS Workshops

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

• Developed CAST, a novel ML framework for causal survival forests to model time-varying treatment effects across medical interventions

• First Author at 3 NeurIPS Workshops: AI for Science, Uncovering Causality in Science, and Learning from Time-Series for Health

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

• Developed C++ modules for XR cranial neurosurgical navigation, enhancing real-time alignment between imaging data and patient anatomy

• Optimized control loops of Zeta’s robotics platform, reducing latency and improving stability and responsiveness during image-guided procedures

• Built focused ultrasound algorithms to enable transcranial targeting through patient-specific skull models, using reverse-time propagation and GPU-accelerated k-Wave simulations

• 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 WiSEE | 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]