Puneet Bajaj is a software engineer with expertise in full stack development and digital solutions. He has experience working across various domains, including AI integration, secure communication platforms, and interactive digital experiences. Puneet has collaborated on impactful projects such as Melos (Candace) and CiperLink, building innovative, user-centered solutions.
In 2024, Puneet joined Georgia State University as a Research Assistant, where he leads the development of an interactive digital human project in collaboration with the AI lab. This work involves integrating advanced technologies like computer vision, AI-driven emotion detection, and Unreal Engine to create digital humans capable of responding naturally to user interactions. Puneet manages a team of research assistants, overseeing project direction and development strategies.
Puneet's technical portfolio also includes the development of CareerSwipe, an AI-driven recruiting platform recognized by the University's Associate Dean of Computer Science. His expertise in designing AI-powered systems and cloud-based architecture has been instrumental in enhancing user experiences and improving the efficiency of digital platforms.
Earlier in his career, Puneet was the Lead Makerspace Assistant at EXLAB, Georgia State University’s innovative lab space. In this role, he managed 3D printing systems, conducted equipment training sessions for students, and optimized lab processes, significantly increasing printing efficiency.
Throughout his journey, Puneet has gained experience in various technologies, including TypeScript, JavaScript, Python, Dart, Swift, and C++. He has also built strong proficiencies in cloud computing, holding an AWS Cloud Practitioner certification, and has contributed to the development of mobile and web applications with frameworks like React, Next.js, and Flutter.
Currently based in Atlanta, Georgia, Puneet is driven to innovate, lead, and create solutions that integrate modern technologies to solve complex problems.
Starting December 2024
TBD
September 2024 - Present
Leading a team of 6 to develop digital-humans, achieving human-like communication with real-time emotion responsiveness. Optimized ML algorithms in Python, enhancing response speed by 30% for real-time, emotion-based interactions. Conducting Department of Defense funded research at CHAI Center ($10M Grant), advancing digital-human capabilities. Built computer vision and voice analysis models in Python & C++ enabling responses to user emotions with 500ms latency.
February 2024 - May 2024
Developed a Flutter-based emotion detection for mobile devices, completing the project 4x faster than the expected timeline. Utilized TensorFlow Lite to develop mobile-optimized machine learning models, improving computational efficiency by 25%. Collaborated with a cross-functional team of 4 people to rapidly deploy ML solutions on mobile and embedded platforms.
August 2022 - May 2024
Managed 3D printing systems and conducted training sessions for students on advanced equipment. Optimized lab processes, increasing printing efficiency by up to four times, and led a team across two campus maker spaces.
Valid Until October 2027
Certified Solutions Architect with a focus on building and deploying cloud-based architectures using AWS services.
Valid Until October 2027
Certified cloud developer with a focus on building and deploying cloud-based architectures using IaC.