About

Agam Kumar is a talented Data Science and Machine Learning enthusiast with a passion for working in an environment that fosters continuous learning and growth. He is a proficient leader with excellent soft skills and a proactive approach to taking initiative, making him a valuable asset to any team. Agam's energy and passion for his work are evident in his ability to create innovative solutions to complex problems, and his resilience as an engineer is a testament to his ability to thrive in a startup environment. Currently working as an R&D Engineer at KLC Associates Limited, Agam has experience developing disaster management models and incorporating boosting ML techniques to calibrate strength, resistance predictions, and structural reliability of high-rise buildings during an earthquake. He has also developed text-based deep-learning chatbots for architects and engineers to provide various project execution timeline information for better management. In the past, Agam has worked as a Graduate Research Assistant at National Taiwan University, where he designed a FEM simulation of a two-story subassemblage frame and conducted a parametric study optimization to understand the effect of aspect ratio and axial load on the seismic response of steel hollow box columns to increase earthquake resistance of structures by 75%. He has also worked as a System Developer Intern at National Taiwan Ocean University, where he developed a real-time Storm Water Management Model for Tucheng city in Taiwan, using Python on a WebSocket server to track and analyze drainage flow from the sewage to trigger warnings for the flood response system. Agam holds a Bachelor of Technology degree in Civil Engineering from IIT and a Master's degree in Structural Engineering from National Taiwan University. He has a diverse tech stack that includes ML, Data Science, SQL, NLP, Python, MongoDB, and Research Scientist skills. With 1.36 years of relevant experience, Agam is currently seeking new opportunities to further develop his skills and contribute to a dynamic team.