NYU grad student with 3 years in network security and technical support, skilled in quickly adapting and simplifying complex concepts proven by GPA 3.9. Willing to relocate anywhere. Certified Ethical Hacker with a score of 89% and active participation in NYU's cybersecurity club and national events top 3 rank in CTF competitions. Written over 10000 lines of secure code in Python and C++; trained multiple machine learning models with above 97% accuracy.

• New York University Tandon School of Engineering, New York, NY

  Master's of Science in Computer Engineering; G.P.A: 3.9/4

• Manipal University Jaipur, Jaipur, Rajasthan, India

  Bachelor's of Technology in Computer Science; G.P.A: 3.2/4

• Network Security Graduate Assistant, New York University, NY, USA

  09/2023 - 01/2024
  Collaborating with course instructor (Prof. Danny Huang) to plan and execute classroom activities and assessments for a class of 250 students for the subject Network security.

• Tier 2 Network Support Analyst, AlgoSec, USA Team

  12/2020 - 08/2022
  Resolved 200+ network issues based on firewalls, switches, routers from all leading networking brands with AlgoSec Network Security Management Suite, for customers in the USA. Awarded "most closed cases of the year" award.

• Tier 1 Network Support Analyst, AlgoSec, Europe Team

  08/2020 - 12/2020
  Customized existing lab firewalls and network devices to best practices for compliance protocols like ISO27001, PCIDSS, etc. Reduced attack surface by 40%. Troubleshooted network threat modelling tools to ensure accurate results. Increased device report accuracy to 100% for customers where results were skewed. Achieved promotion to Tier 2 in 4 months.

• Network Support Intern, AlgoSec, Europe Team

  02/2020 - 08/2020
  Completed the required training in three months and began to shadow other technical support engineers. Started working on production technical cases in three months.

• Deep Learning Malware Analysis, New York University, NY, USA

  08/2023 - 12/2023
  Trained and compared multiple state-of-the-art image classification models on images created from malware binaries and non-malware binaries. Achieved 97% accuracy. Earned the grade 'A-'.

• Scan-Chain attack on Hardware AES, New York University, NY, USA

  03/2023 - 03/2023
  Wrote a Python program to successfully implement a scan chain attack on a hardware device implementing AES-128 bit encryption. Secured the highest grade 'A'.

• Hardware Trojan, New York University, NY, USA

  03/2023 - 03/2023
  Programmed an STM32 device in C++ to access data from EEPROM, then programmed a Chip Whisperer Nano to act as a hardware Trojan to detect data access requests and manipulate data transfer. Obtained the highest grade "A".

• Breath sensor for infants to detect SIDS, New York University, NY, USA

  09/2022 - 12/2022
  Engineered and deployed a system of sensors that effectively monitored breathing patterns and rates in infants, detecting the chance of sudden infant death syndrome (SIDS) with an accuracy of 98%. Procured the second highest grade 'A-'.

• Silent Mode: Disabling All Devices, New York University, NY, USA

  01/2023 - 05/2023
  Programmed an ESP32 board and Raspberry Pi Zero W to broadcast de-authentication packets for the selected AP and to create a custom network tunnel to control traffic flow. Highest grade 'A'.

• Satellite Object Detection, New York University, NY, USA

  01/2023 - 05/2023
  Developed a deep learning model based on U-Net which successfully classified pixels as buildings or non-buildings. Second highest score 'A-'.

• Deep Learning
• Image Classification
• Python Programming
• C++ Programming
• Embedded Systems
• Hardware Security
• ESP32 Development
• Raspberry Pi Development
• Sensor Engineering
• Network Security
• Technical Support
• Network Troubleshooting
• Firewalls and Switches
• Compliance Protocols
• Threat Modelling

Catch the hecker hampter or he will heck you

5 seconds remaining