Charan Rithwik Kilari

Detail-driven Mechanical Engineer skilled in designing, testing, and improving mechanical systems. Background includes experience in CAD software for 3D modeling and simulation tasks. Strengths include strong analytical skills, problem-solving ability, team collaboration, and project management. Previous roles demonstrate impact through improved system efficiencies and successful project completions on time and within budget. Flexible hard worker ready to learn and contribute to team success.

• Received Certification of Merit from Ramanujan Mathematics Academy Mathematics Library & Museum
• National Programming on Technology Enhanced Learning (NPTEL) Certification in Rapid Manufacturing from Indian Institute of Technology Roorkee (IITR)
• National Programming on Technology Enhanced Learning (NPTEL) Certification in Internet Of Things from Indian Institute of Technology Roorkee (IITR)
• Certification on CNC Machining and Welding from 'RVR&JC' through APSSDC-Siemens.

Analysis on Glass and Carbon Fiber Reinforced Sandwiched Composites for Automotive Applications

In my recent project, I developed a robust system for detecting cracks in railway tracks using infrared (IR) sensors and radio frequency (RF) waves. The project involved designing and implementing a detection mechanism that integrates IR sensors to identify surface anomalies and RF waves to assess structural integrity. I was responsible for selecting and calibrating the appropriate sensors, designing the data acquisition system, and developing algorithms to process and analyze the sensor data. This approach allowed for real-time monitoring of track conditions and significantly improved the accuracy and reliability of crack detection compared to traditional methods.

The successful deployment of this system not only demonstrated its effectiveness in early crack detection but also provided actionable insights for predictive maintenance, thereby enhancing railway safety and operational efficiency. My role included the end-to-end development of the project, from initial concept and prototype testing to data analysis and final reporting. The project underscored my ability to apply interdisciplinary techniques in a practical setting and reinforced my skills in sensor technology, data processing, and system integration.