About Me_

Learner. Educator. Problem Solver. PGP/GPG key

Started coding at 16—yeah, a bit late, but I wasn’t a prodigy, just a gamer. One day, I played games; the next, I learned how to make them. C, C++—not the best, I know, but they cracked open my brain to a whole new world.

Fast forward—missed my shot at the Nationals (handball, if you’re curious), thanks to a stubborn shoulder injury. Pivoted to the next challenge—competing with some of the sharpest minds in India. Graduated in Computer Science, landed internships, earned a co-op, and worked my way into a PhD admit at NYU.

Turns out, academia wasn’t my thing. Figured it out in 18 months, switched lanes, chose cybersecurity, and wrapped up a Master's instead.

Now? Scroll through this awesome page and see where the journey’s taken me.

What i'm doing

  • design icon

    Security Research

    Not reinventing the wheel—fortifying it for the future.

  • Web development icon

    Code/Script

    Secure. Scalable. Future-proof.

  • mobile app icon

    Adjunct Professor

    Breaking down complexity, building up expertise.

  • camera icon

    Athlete

    I’ve hit the gym and stayed in shape—even when my mind wasn’t.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

.Org

Resume

Education

  1. New York University

    Masters Cybersecurity 2022 — 2024

  2. Anna University

    Bachelors Computer Science 2018 — 2022

Experience

  1. Adjunct Professor

    New York University 2023 — Present

    Summer 23:CS4CS Summer 24: CS4CS, SS-SEC Fall 24: CPath Spring 25: Cpath, SOSC Summer 25: CS4CS, Cpath, SOSC

  2. Security Researcher - XBOW

    2024 — Present

    • >Implement self-learning exploit generation models that adapt dynamically to unknown vulnerabilities.
    • >Design autonomous red teaming strategies using AI agents to perform real-time attack path analysis.
    • >Build threat intelligence pipelines for automated attack detection, response, and mitigation in AI-powered pentesting systems.

  3. Security Analyst

    The Trade Desk May 2024 — Oct 2024

    • >Developed risk-based scoring methodologies to classify third-party vendors based on their exposure to cyber threats.
    • >Collaborated with red teams to simulate vendor compromise scenarios, testing incident response protocols and security policy enforcement.

  4. Application Security Intern

    The PenTest Partners May 2023 — Aug 2023

    • >Developed custom firmware analysis techniques to identify buffer overflows, insecure cryptographic implementations, and privilege escalation risks in automotive software.
    • >Reverse-engineered ECU firmware images to identify security flaws in vehicle infotainment, telematics, and over-the-air (OTA) update systems.
    • >Designed automated static and dynamic analysis pipelines using Burp Suite, Semgrep, and SAST tools to scan for insecure application patterns.

  5. Grad Developer

    NYU HSRN Feb 2024 — May 2024

    • >Integrated container security scanning tools to detect vulnerabilities in custom SONiC images before deployment.
    • >Configured network access security using IEEE 802.1X protocol on Dell SonicWall via PacketFence.
    • >Established RADIUS authentication with PacketFence as the server ensuring network security
    • >Automated code quality checks using YAML scripts in GitLab pipeline stage with open-source code linters for Python, C++, Java

  6. Security Engineer

    Null Errors Co-op Mar 2021 — July 2022

  7. Security Analyst Intern

    Null Errors Sep 2020 — Mar 2021

Want to download my resume?

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My skills

  • Security Research & Development
    90%
  • Cybersecurity & Risk Management
    50%
  • Teaching & Technical Leadership
    99%
  • Embedded & Automotive Security
    70%
  • Application & Infrastructure Security
    80%
  • Penetration Testing & Vulnerability Management
    75%

Certifications

Cybersecurity & Risk Management

Comptia Security+ 🔗 CompTIA CySA+ 🔗 ISC2 Certified in Cybersecurity (CC) 🔗

Cloud & AI Certifications

AWS Cloud Practitioner 🔗 AWS AI Practitioner (Early Adopter) 🔗

Vulnerability Management

Qualys Certified Expert - Vulnerability Management 🔗

Operating Systems

Windows Linux (Ubuntu, RHEL, Kali, Alpine) macOS

Programming Languages

Python Java C C++ Bash JavaScript Assembly (x86, ARM)

Security & DevOps Tools

Splunk Zeek Snort Suricata Prometheus Qualys VMDR Nessus Tenable Burp Suite Metasploit Wireshark Nmap GDB Ghidra Exploit DB IDA Pro

Cloud & Infrastructure

Docker Kubernetes Terraform Jenkins ELK Stack QEMU

Automotive & Embedded Security

Uptane AUTOSAR CANalyzer CANoe

Compliance & Security Frameworks

NIST CSF ISO 27001 SOC 2 PCI-DSS CIS Controls HIPAA

Portfolio

  • Anubis Project

    Anubis

    Role: Admin & Developer

    Description: Anubis began as a distributed Learning Management System (LMS) designed to automate computing science courses at NYU, focusing on features like autograding and cloud-based Integrated Development Environments (IDEs).

    Contributions:

    Links: GitHub | Website

  • MaskMail Archive

    MaskMail

    Role: Sole Developer

    Description: MaskMail was a free email masking service designed to generate privacy-focused aliases that forwarded to users' real inboxes. It ran from 2021 to 2023, serving over 10,000+ aliases before being sunset due to increasing operational costs. The legacy archive remains publicly accessible.

    Links: Website | Legacy Archive

  • Sign Language Translator

    CNN-Based Indian Sign Language Translator

    Role: Co-Creator & Developer

    Description: Developed from scratch during undergraduate studies, this AI-powered Sign Language Translator bridges communication gaps between the deaf community and non-signers. Utilizing deep learning, computer vision, and edge AI, the system translates hand gestures into text, enabling real-time interpretation.

    Contributions:

  • Framework for Addressing IoT-Enabled Abuse in Healthcare and Smart Device Ecosystems

    Role: Research Collaborator

    Description: This project investigated the abuse of IoT-enabled healthcare and smart home devices in interpersonal scenarios. The goal was to identify vulnerabilities, propose mitigation strategies, and develop a practical framework to enhance patient and consumer safety in smart ecosystems.

    Contributions:

  • (TUF)

    Role: PhD Candidate - Research Scholar

    Description: The Update Framework (TUF) is a flexible and secure software update mechanism designed to protect against supply chain attacks. It ensures the authenticity and integrity of software updates, even in the presence of compromised keys or servers. TUF is widely used across industries, including cloud computing, package managers, and container security, to safeguard software distribution.

    Contributions:

  • Uptane

    Role: PhD Candidate - Research Scholar

    Description: Uptane is a secure over-the-air (OTA) update framework designed to protect automotive software updates from cyber threats. It extends The Update Framework (TUF) to address the unique security challenges in connected vehicles, ensuring resilience against attacks even if some update servers are compromised. Uptane is widely adopted in the automotive industry to enhance the integrity and security of vehicle software updates.

    Contributions:

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