RUDRAPATI THANMAI KUMAR

Adaptable Systems Engineer with two years of hands-on experience collaborating with clients to develop perfectly customized tools. Skilled in carefully translating customer requirements into actionable metrics. Recognized for developing functional rapport with contracted customers to drive return business.

• Completed Quiz on Digital System Design with ASM charts conducted by Holy Mary institute of technology with 100% passing score
• Completed Quiz on Internet of Things (IOT) Conducted by Audisankara Institute of Technology with 100% passing score
• Completed a National level Quiz on Research Metrics in Scientific Publications conducted by MLR Institute of Technology with a score of 87%

C, VHDL, Python (Basic's), Knowledge in designing a RF antenna using HFSS software, Designing of PCB Board, Fluency in English, Hindi, Telugu, Microsoft Word, Excel, Adobe Photoshop

• Embedded systems
• System Design Through Verilog
• Bio-Medical Engineering
• Wireless sensor Networks
• Creative and Logical Thinking

• Age: 23 Years
• Gender: Male

Given a seminar on AUTONOMOUS CARS Completed a course which is used to Design website using HTML and CSS in CCBP 4.0 Technologies Participated in college EPISTEMICON- AN ICON OF KNOWLEDGE

• Given a seminar on “AUTONOMOUS CARS”.
• Completed a course which is used to Design website using HTML and CSS in CCBP 4.0 Technologies.
• Participated in college EPISTEMICON- AN ICON OF KNOWLEDGE’

• Completed Quiz on “Digital System Design with ASM charts” conducted by Holy Mary institute of technology with 100% passing score.
• Completed Quiz on “Internet of Things (IOT)” Conducted by Audisankara Institute of Technology with 100% passing score
• Completed a National level Quiz on “Research Metrics in Scientific Publications” conducted by MLR Institute of Technology with a score of 87%.

• Completed “Basics on DC circuit analysis” from In Tech Academy’s National level online workshop.
• Designed a Prototype of Automatic detection and identification of Indian traffic signs and controlling using a convolutional neural network
• Completed “PCB Design” conducted by APSSDC.

• Project on “AUTOMATIC DETECTION AND IDENTIFICATION OF INDIAN ROAD SIGNS AND CONTROL THE  SYSTEM USING A CONVOLUTIONAL NEURAL NETWORK” 

• Detecting the traffic sign and by using the camera and identifying the sign by using different methodologies.
• Used Python language for Image Processing.
• Using CNN for the Identification of Image Captured.