Work
Experience
Two internships, two different engineering problems — from secure embedded firmware bridging hardware and the cloud, to a published contribution in wireless systems research. Real work, building toward a full-time role.
Apr 2026 – Jul 2026
IoT Software Engineering Intern
C
FreeRTOS
MQTT
AWS IoT Core
- arrow_right_alt Architected the firmware for a Quectel EC800G cellular module using dedicated, independent threads for sending and receiving data, establishing a secure 4G LTE connection to AWS IoT Core.
- arrow_right_alt Implemented TLS 1.2 encryption with SNI-based routing, provisioning and authenticating AWS X.509 certificates directly on the device's flash memory for verified, secure cloud communication.
- arrow_right_alt Engineered a full-duplex MQTT client with guaranteed message delivery and careful memory buffering, preventing data overflow while parsing cloud commands in real time.
- arrow_right_alt Diagnosed and resolved hardware-level control-flow and network packet failures between the embedded device and AWS servers, ensuring reliable end-to-end connectivity.
C
FreeRTOS
MQTT
AWS IoT Core
Nov 2025 – Apr 2026
Student Research Intern
Python
TensorFlow
NVIDIA Sionna
Machine Learning
- arrow_right_alt Designed a hybrid wireless receiver combining a pretrained neural network with a classical detection algorithm, achieving a measurable performance gain over the existing baseline without retraining either model.
- arrow_right_alt Derived the optimal weighting between both detection methods through statistical analysis, validating the result with strong statistical confidence across thousands of simulated test cases.
- arrow_right_alt Outperformed a larger, previous-generation neural network approach while using significantly fewer parameters and zero additional training time.
- arrow_right_alt Documented the complete methodology and results in a published IEEE conference paper.
Python
TensorFlow
NVIDIA Sionna
Machine Learning