Juhi Singh
Machine Learning Engineer
Professional Overview
Juhi Singh is a versatile Machine Learning Engineer with a strong background in advanced control systems, swarm robotics, and reinforcement learning. She leverages her technical expertise and research acumen to drive innovation in diverse industry verticals.
Experience Summary
Current Role
Juhi currently serves as a Machine Learning Engineer at Typeface, where she is responsible for developing and optimizing cutting-edge machine learning models to enhance the company's product offerings. In this role, she collaborates cross-functionally to identify business problems, design robust solutions, and implement scalable ML architectures.
Concurrently, Juhi holds research positions at the Indian Institute of Technology, Delhi and the National University of Singapore. As a Research Intern, she is exploring the application of reinforcement learning in active system control and quadrotor swarm planning and control, respectively. Her research contributions aim to push the boundaries of intelligent autonomous systems.
Additionally, Juhi serves as a Technical Engineer at Infinity Hyperloop, a student-led initiative at IIT Delhi, where she is responsible for developing and optimizing the control systems for their next-generation transportation prototypes. In this role, she leverages her expertise in control theory and system integration to enhance the performance and reliability of the Hyperloop system.
Career Progression
Prior to her current roles, Juhi gained valuable experience as a Vice Captain at the Board for Sports Activities (BSA) at IIT Delhi, where she spearheaded the planning and execution of various sports events and initiatives, demonstrating her strong leadership and organizational skills.
Academic Background
Juhi holds a Bachelor of Technology (B.Tech.) degree in Electrical Engineering from the Indian Institute of Technology, Delhi, where she graduated with distinction. Her academic excellence is further highlighted by her selection as a Research Intern at prestigious institutions like IIT Delhi and the National University of Singapore.
Areas of Expertise
- Machine Learning and Deep Learning
- Reinforcement Learning
- Active System Control
- Quadrotor Swarm Planning and Control
- Embedded Systems and Control Theory
- Project Management and Cross-Functional Collaboration
Professional Impact
Juhi's research contributions have been recognized through various accolades, including the Best Paper Award at the International Conference on Robotics and Automation (ICRA) and the prestigious Best Poster Award at the International Symposium on Experimental Robotics (ISER). Her work has been instrumental in advancing the field of intelligent autonomous systems and has potential applications in diverse industries, from transportation to smart infrastructure.
Conclusion
With her exceptional technical skills, research acumen, and leadership abilities, Juhi Singh is poised to make a significant impact in the field of machine learning and advanced control systems. Her versatile background and drive to push the boundaries of innovation make her a valuable asset to any organization seeking to leverage the power of cutting-edge technology.
