ACHYUT NANDURI
+1-302-***-**** ***************@*****.***
EDUCATION
University of Delaware Newark, DE May 2024
Master of Science in Cybersecurity
Coursework: Secure Software Design, Digital Forensics, Penetrate Testing and Reverse Engineering, System Hardening, Web Application Security, Applied Cryptography, Embedded Security Anna University Chennai, India May 2022
BE in Electronics and Communication
SKILLS
• Languages: C, C++, Embedded C, Python, HTML, Java script, CSS
• Design Software: Tinckercad, Packet Tracer, Proteus
• Analysis Software: Matlab, Google Colab, Autopsy, Nmap, Wireshark, IDA, Burp Suite
• OS/Framework: Linux, Raspbian, FPGA, MONGO DB, Firebase, Pandas, Bash EXPERIENCE
Regional Telecom Training Centre (RGMTTC) – BSNL Feb 2020 - Jul 2020 Internship Training program in VAC on Mobile GSM and Broadband Completed an intensive internship focused on telecommunications and network engineering. Developed comprehensive skills in CDMA, GSM, MPLS-VPN, VSAT, and VoIP systems, as well as expertise in internet and broadband service management. Acquired hands-on experience in network configuration, routing protocols, and troubleshooting, enhancing my ability to manage and optimize complex telecom networks in a professional setting. TVS Lucas Jun 2021 - Apr 2022
Trainee, Advanced Engineering, R&D
Led project development with strategic planning and innovative engineering solutions, enhancing system functionality and efficiency through advanced programming of embedded systems using Arduino technology. Collaborated effectively with cross-functional teams to integrate software solutions, optimizing project delivery timelines by 15% and meeting all technical specifications.
University of Delaware, Department of Electrical and Computer Engineering Oct 2022 - Mar 2023 Research Assistant
Engaged in a voluntary research project on cybersecurity fundamentals under the guidance of the late Dr Chase Cotton. Analysed vulnerabilities in IoT devices and supported the development of basic security strategies. Assisted in the research and drafting stages of a study on security risks in connected devices, enhancing understanding of threat assessment and security measures.
PROJECTS
Smart Sentry: Led the development of 'Smart Sentry', a gender-responsive AI safety device aimed at predicting potential domestic violence incidents. Integrated a YOLO V3 model trained on Darknet architecture, achieving 85% accuracy in weapon detection. Optimized and deployed the solution on Raspberry Pi for efficient real-time processing.
Digital Twin: Engineered a sophisticated digital twin of a crane, enabling remote control through a virtual reality interface to simulate on-site operation effectively. This innovative project integrated advanced technologies including VR, IoT, and robotics, enhancing operational efficiency by reducing response times from 5 minutes to 3 minutes and significantly decreasing operational risks for remote management tasks. VLSI Implementation and encryption in Capsule Endoscopy: Spearheaded the design and implementation of a VLSI system for secure data transmission in capsule endoscopy. Incorporated BCH encoding and Triple DES encryption, resulting in a significant enhancement of data security and a 20% improvement in transmission efficiency. Web Security Enhancement Project: Pen Testing: Conducted a comprehensive penetration test on a self-developed web application as part of a Web Security Analysis project. Over the course of several weeks, this proactive approach successfully reduced the number of detected security vulnerabilities from 20 to only 3 critical issues. Documented exploits thoroughly to ensure robust enhancements and foster a secure development environment. CERTIFICATIONS/ACHIEVEMENTS
• Executed numerous cybersecurity projects across platforms like Hack the Box, Juice Shop, Port Swigger, Try Hack Me, and DVWA, addressing key vulnerabilities including Broken Access Control, Injection, Insecure Design, Cryptographic Failures, Security Misconfiguration, SSRF, and Identification and Authentication Failures.
• Earned certifications from Cisco Network Academy, completing courses in Cybersecurity Essentials, Introduction to Cybersecurity, and Cisco Packet Tracer, achieving a 95% average score across all assessments.