Mechanical Engineer | ML/DL Enthusiast | Researcher
Bridging the gap between classical engineering and computational intelligence to solve complex problems in materials science, manufacturing, and robotics.
I am a dedicated Mechanical Engineer and researcher with a strong focus on bridging the gap between classical engineering and computational intelligence. Graduating from MIST with a B.Sc. in Mechanical Engineering, I have cultivated expertise in Advanced Manufacturing, Material Characterization, and Machine Learning.
My work spans from developing YOLO-based computer vision systems for industrial safety and medical imaging to conducting in-depth research on the densification of tropical wood species. I am passionate about solving complex engineering problems using data-driven approaches, including finite element analysis (FEA) and deep learning algorithms.
My research portfolio includes a comprehensive thesis on wood densification and multiple conference papers on material science and meteorological forecasting.
I have led diverse projects ranging from Casting Defect Classification (99.9% accuracy) to Tailstock Tool Holder Design. My technical toolkit includes Python, SOLIDWORKS, ANSYS, and MATLAB.
View ProjectsBeyond academics, I have gained industrial experience at IFAD Autos PLC and PRAN-RFL Group, and demonstrated leadership as a Science Fair Champion and Scout Volunteer.
View Experience