As a Senior Software Engineer at Foundation Robotics Labs, I lead the design, development, and deployment of critical software components powering our robotic fleet management ecosystem. Key responsibilities and accomplishments include:

· Architected and developed the robotic fleet management ecosystem from scratch, designing scalable software components that improved operational efficiency, usability, and system reliability.

• Designed and launched a real-time web application with an integrated Inverse Kinematics (IK) streaming engine, bridging ROS2 with modern front-end interfaces to enable precise robot movement control.

• Built robust APIs and communication pipelines for real-time telemetry, actuator health, and robot data synchronization, ensuring seamless integration across fleet applications, back-end services, and hardware.

• Designed and deployed AWS EKS clusters from the ground up to power a cloud-native VR teleoperation platform, enabling secure and scalable real-time robot control.

• Optimized the teleoperation pipeline on EKS Cluster for low-latency streaming (sub-30ms), ensuring responsive and reliable VR-based robot control.

• Created telemetry and health monitoring applications using React, TypeScript, and D3.js, delivering real-time visualization, fault detection, and predictive maintenance insights.

• Led testing and validation efforts for scalability, reliability, and usability, while producing comprehensive technical documentation to streamline onboarding and accelerate future development.

• Mentored junior engineers and collaborated cross-functionally with robotics, hardware, and design teams to align on system architecture, accelerate delivery, and ensure seamless integration.

· Developed the user interface for FordPro Upfit Integration System (UIS), deployed across Super Duty, F-150 Police Responder, Transit Custom and Police Interceptor Utility models in the US.

• Improved FordPro UIS tool UI performance by 38% through local database caching for CAN (Controller Area Network) signals, reducing latency and improving responsiveness.

• Integrated drawflow.js into FordPro UIS to enhance canvas interaction and deliver a more intuitive user experience.

• Built and tested MSI packages for FordPro UIS, ensuring seamless vehicle integration and performance using remote TDK.

• Proactively monitored logs and resolved issues, preventing critical failures and improving stability.

• Collaborated with cross-functional teams to align requirements, improve system usability, and meet customer needs.

• Created and maintained technical documentation for clarity and stakeholder alignment.

• Mentored junior engineers, accelerating their professional growth and improving team productivity.

· Developed and deployed front-end applications for Rivian’s Fleet Management into production (using Typescript, React).

· Built user interface for client-facing (Amazon) front-end applications in Rivian’s Fleet Vehicles.

· Enhanced the unit-test coverage of the existing code base from 40%-50% to 85%-95% using Jest (React testing lib).

· Wrote GraphQL queries for fetching real-time data from the backend services.

· Built UI widgets for a client-facing (Amazon) front-end application.

· Collaborated closely with the design, product, and backend teams to successfully deploy applications to production.

· Engaged in bug bash sessions actively to assist in resolving critical bugs prior to production deployment.

· Actively participated in design discussions for projects, providing value-adding UI/UX enhancement ideas to enrich the overall user experience.

· Collaborated with Cisco’s DNAC Assurance UI Team to develop custom features for existing dashboards.

· Enhanced the existing dashboards by building customer’s most requested ‘Export Feature’ using React.js and CSS Flexbox.

· Enabled customers to efficiently share the data from the dashboards.

· Generated a print-friendly view of network and router data from various dashboards via the export feature.

· Conducted thorough examinations of the existing codebase to identify potential bugs and promptly resolved them to mitigate conflicts and ensure smooth functionality.

· Conducted A/B testing to identify bugs and UI improvements (using Google Optimize).

· Worked on enhancing the user experience for Pizza Hut's customers across their web and mobile applications.

· Collaborated with clients to gather and define requirements, establish scopes, and manage project milestones effectively.

· Collected data from customers using the web/mobile application via eye movement tracking glass.

· Analyzed the data gathered through eye movement recordings to identify problematic areas, leveraging eye-tracking technology to record fixation points and duration of user gaze on specific elements.

· Led a team of 8 undergraduates, offering design direction through mid-to-high fidelity concepts and prototypes derived from user research feedback.

· Recruited and screened participants for usability testing experiments to ensure diverse and representative feedback.

· Conducted user research using a wide variety of qualitative and quantitative research methods, both in-person and remote.

· Managed a database of reliable user research participants and maintained a centralized UX resource library to provide team members with visibility into the research process and findings.

· Developed a new UI prototype for the web and mobile application using Axure RP, leveraging the collected data to inform design decisions and enhancements.

· Significantly enhanced the performance of the web and mobile applications by reducing the overall time taken to place an order by 13%.