Expertise

Serena is a software engineer with a strong academic foundation in computer science and a passion for embedded systems, machine learning, and scalable software solutions. She has contributed to a wide range of projects, from firmware development and IoT diagnostics to machine learning research and open-source contributions. Serena is known for her ability to lead teams, optimize performance, and deliver impactful solutions across diverse domains. Her focus is on C/C++/C# development, embedded systems, and intelligent automation.

TelePro Experience

Serena’s responsibilities include developing software and operator user interfaces for Laundry systems, optimizing diagnostic tools, and control system enhancements. She has played a key role in improving system performance and reducing production time through automation and simulation.

Prior Experience

Serena’s experience before joining TelePro included:

• Developed embedded software and diagnostics tools at IDEX Corporation, simulating machinery commands and reducing production time by 33% through automation.
• Contributed to intrusion detection systems and virtualization techniques at Tata Institute of Fundamental Research, enhancing system scalability and performance.
• Conducted machine learning research at ONGC, improving model accuracy through adaptive feature fusion.
• Designed robotic systems and simulation software as part of the Agnel Robotics Club, achieving top rankings in national competitions.
• Published research on reinforcement learning algorithms for pathfinding on Raspberry Pi at IEEE SCEECS 2022.
• Led C++ instruction and mentoring as a Teaching Assistant at the University of Illinois Urbana-Champaign, supporting over 30 students in object-oriented programming and data structures.

Education

Master of Computer Science (MCS) – University of Illinois Urbana-Champaign, Urbana, IL

Bachelor of Engineering in Computer Science – Fr. C. Rodrigues Institute of Technology, University of Mumbai, Mumbai, India