Washington DC-Baltimore Area
As a Software and Product Development Engineer at Metafide, I am leveraging my expertise in backend development, cloud-native services and AI/ML to contribute to impactful technical development projects. My recent graduation with a Master’s degree in Computer Science from George Mason University has further reinforced my ability to design scalable systems and optimize workflows. My professional journey includes diverse roles in software engineering and quality assurance, where I developed backend applications, implemented CI/CD pipelines, and conducted integration for IoT devices. My educational foundation, including a Bachelor's in Electrical and Computer Engineering from Columbia University and Physics from Gettysburg College, complements my technical skills and fuels my commitment to innovation and efficiency.
-Developed and enhanced web applications in C#, focusing on backend development, patching, and performance optimization. -Managed JIRA bug fixes and backlog, ensuring smooth development cycles and timely feature releases. -Implemented and maintained CI/CD pipelines using Jenkins, optimizing workflows for efficient DevOps practices in AWS. -Designed efficient data pipelines and system architecture, streamlining data flow and system performance for scalable applications.
-Worked on the CSVR 21XX series project, designing unit/integration tests, benchmarking performances and managing regression testing on weekly build deployments in an Agile environment. - Designed and executed functional verification, performance, and thermal testing for IoT devices, including WebRTC-based two-way audio and video surveillance cameras. -Developed Python Flask APIs for data retrieval and benchmarking of IoT devices (video surveillance cameras) via REST API integration, optimizing data analysis workflows, and improving hardware stability. -Conducted hardware/software troubleshooting, regression testing, and database deployments using SQL test scripts, implementing CI/CD pipelines to reduce deployment rollback errors. -Collaborated with developers and product teams to deploy containerized applications using Docker and Kubernetes, streamlining test execution and reducing deployment failures.
-Led the software team for the UCSD SOARS (research-grade indoor wave modulator) wind tunnel project. -Designed object-oriented LabVIEW programs for PLC-based control systems, integrating PLCs via Modbus/Ethernet IP. -Developed ETL pipelines in Python for real-time sensor data processing, leveraging Pandas, NumPy, SciPy, and Matplotlib for data transformation and analytical visualization, enhancing data acquisition efficiency by 20\%. -Implemented SQLAlchemy for database integration, storing large volumes of wind tunnel test/experimental data in a MySQL database, improving data query efficiency. -Utilized AWS Redshift for large-scale telemetry data warehousing, enabling faster analysis of historical wind tunnel data.
-Designed and upgraded firmware for HVAC IoT platforms, optimizing sensor bridges, nodes, gateways, and air quality monitors. -Developed embedded C firmware for PIC microcontrollers, enhancing real-time sensor communication and remote calibration. -Conducted hardware-in-the-loop testing, network latency analysis (Wireshark), and firmware debugging using ICD Debugger and GDB. -Designed Fibox enclosures (Fusion 360) and assembled SPVU kits for HVAC monitoring while assisting clients and vendors with technical support.