Pavan Chandra Vundurthy

As a Computer Vision (ML) Engineer, trained and deploy neural networks for advanced real-time applications related to engineering and science on projects involving aeronautical, automotive, structural health, and oil and gas industry inspection analysis, using state-of-the-art computer vision models such as YOLO, Masked R-CNN, MobileNet, SAM and CNN methods. Led a start-up team in setting up machine learning pipelines for classifying, detecting, segmenting, and optimizing the models based on non-destructive testing of industrial assets, which were successfully deployed. Gained rigorous experience in handling large datasets using multiple tools like Fortran, C++, Python, SQL and Excel, and producing better visualized behavior. Have good exposure in frontend development using Javascript and familiar with AWS, Linux server applications, and other data science tools. Passionate about applying artificial intelligence to solving real-world problems and create value for the society.

• Zertifikat am Modul Deutsch A2/1.Semester (10/2017 - 02/2018) Technische Universitaet Bergakademie Freiberg
• Robotryst (Grand Finale at IIT Delhi) (03/2015) (International Level Championship) IIT DELHI, Zonal level participation
• Machinery Condition Monitoring (MCM) (03/2013) One Day Workshop on Structural Integrity and Machine Behaviour
• Merit Scholorship from Director General Naval Projects (DGNP) (2004 - 2005) Naval Base, Visakhapatnam

• Best Data Science Project among the class of CMS, 05/2017, In fulfillment of the best Project Criteria in Computational Materials Science Master's Program
• Highest grade point among the class of 2016 (B.E. & M.E.), 05/2011 - 08/2016, Topper of the academic coursework in all examinations (B.E. & M.E.) conducted by Andhra University in both Bachelor and Master of Engineering for the class 2011-2016.
• IELTS 7.5 (CEFR level- C1), 10/2016, Listening-8.5, Reading-7.0, Writing-6.5, Speaking-7.0

• Scholarship Award Certificate (DAAD), 10/2020 - 12/2020, Deutscher Akademischer Austauschdienst German Academic Exchange Service (DAAD), ArcelorMittel GmbH & (STIBET)
• Certificate of Excellence for Best Project in Computational Materials Science, 05/2019 - Present, Micro-Mechanical Material Modelling, TU Bergakademie Freiberg Big data visualization of large and ultra-large scale atomistic simulations (> 10 Mio atoms)

• Racetech Racing Team e.V., TU Bergakademie Freiberg, 11/2018, 02/2019, Formula student with programming in "Automation Transmission Control" using MATLAB and Simulink
• Intern at Bharat Heavy Electricals Limited, Heavy Plates and Vessels Plant, 05/2014, 06/2014, Industrial Training on "Study of Cold Box and its Fabrication at Cryogenics Production" and Automation.
• Intern at Visakhapatnam Steel Plant, Rashtriya Ispat Nigam Limited, 01/2014, Industrial Training at Engineering Shops, Foundry and Spares Management

• Thesis/Projects
• Courses/Projects
• Achievements/Tasks
• Python
• C++
• SQL