Tejasvi Parupudi

Tejasvi Parupudi, Ph.D., is a seasoned scientist with 9 years of experience spanning across Engineering, Data Analytics, Manufacturing, and Research Methodology.

His technical competencies include PCB design, MEMS, IoT, AFM, DSP, Analog and Digital signals, Embedded Systems, and Electronics Manufacturing.

With a strong foundation in Data Analytics, Tejasvi excels in Statistics, Machine Learning, Artificial Intelligence, Predictive Analysis, and Data Mining.

He is proficient in various programming languages such as Embedded C, Python (Numpy, Scipy, Pandas, Scikit-Learn), MATLAB, and OpenCV, and tools like IBM SPSS and OriginLab.

In terms of research and design skills, Tejasvi has expertise in Biomedical Research, E-CAD and M-CAD design, grant writing, manuscript writing, and hypothesis testing.

His interpersonal skills shine through in teaching, mentoring, and collaboration with engineers and clinicians.

Tejasvi's professional endeavors include innovating and designing electronic circuits, sensor systems, and interfaces, coupled with extensive experience in design review, verification and validation, and continuous risk assessment.

He has a solid background in electronics assembly process development, process improvement, cost reduction, and quality enhancement backed by meticulous technical documentation.

Tejasvi Parupudi pursued his Doctor of Philosophy (Ph.D.) in Electrical Engineering / Medical Device Engineering at Purdue University and holds a Master's in Technology and a Bachelor of Engineering from prestigious institutes.

Currently, he serves as a Staff Research Associate at The University of Texas at Dallas. For professional inquiries, Tejasvi can be contacted at tejasviparupudi@gmail.com.