Aashay Wadkar

Aashay Wadkar

INI Teaching Assistant - Cyber Risk Modeling @ Carnegie Mellon University's Information Networking Institute

About

I have always been fascinated by the intersection of technology and security, how we can harness innovation while keeping our digital lives safe. My journey began at the National Institute of Technology in Goa where I built a solid foundation in computer science. This led me to Persistent Systems as a software engineer specializing in blockchain technology, a role that allowed me to dive deep into developing secure Ethereum smart contracts. During my time at Persistent Systems, I had the opportunity to lead research on HashiCorp Vault for secure storage of private keys. This initiative not only enhanced private key management for over 13 clients within just two months but also involved delivering live training sessions that empowered teams with crucial knowledge about cybersecurity practices. One of my proudest moments was engineering Ethereum smart contracts that improved product security for more than 50,000 users. By integrating these solutions into legacy Web 2.0 systems, I contributed to creating a more secure environment through immutability and non-repudiation, key principles in today’s digital landscape. Currently pursuing my Master’s degree in Information Security at Carnegie Mellon University has further fueled my passion for this field. I'm excited about exploring new technologies like Account Abstraction and The Graph Protocol while sharing insights through CTO-wide sessions I've spearheaded. Outside of work and studies, I enjoy engaging with communities focused on tech education, whether it's mentoring aspiring developers or participating in hackathons where we brainstorm innovative solutions together. If you’re interested in discussing security trends or exploring collaboration opportunities within information security, feel free to reach out via email (awadkar@andrew.cmu.edu)! Skills: - Threat Modeling and Risk Assessment - Network System Design and Implementation - Secure Coding - System Programming in C - CTFs - Binary, Crypto and Web Exploitation

Country

United States

City

Mountain View

Industry

Information Technology & Services

Skill

Software Development, Software Development Life Cycle (SDLC), Docker , Git, Nginx, HashiCorp Vault, Polygon, Iden3 SSI, The Graph Protocol, Secure Coding, Client Demonstrations and Meetings, Training Sessions, Operating Systems, Data Structures, Databases, Compilers, Cryptography, System Programming, Kernel API, Information Security

Experience

Carnegie Mellon University's Information Networking Institute

INI Teaching Assistant - Cyber Risk Modeling

Carnegie Mellon University's Information Networking Institute

LinkedIn
2025-8 - 2025-12 · 5 mos

Mountain View, California, United States

Carnegie Mellon University's Information Networking Institute

INI Student Ambassador

Carnegie Mellon University's Information Networking Institute

LinkedIn
2025-1 - 2025-12 · 1 yr

Pittsburgh, Pennsylvania, United States

PLUS Tutoring

Math Tutor

PLUS Tutoring

LinkedIn
2025-1 - 2025-12 · 1 yr

Pittsburgh, PA

As part of CMU Human Computer Interaction's programs, this on-campus remote opportunity allowed me to tutor smart mind and support them in their journey to become stars of the next generation.

Palo Alto Networks

Intern - Software Engineer

Palo Alto Networks

LinkedIn
2025-6 - 2025-8 · 3 mos

Santa Clara, California, United States

• Gained hands-on expertise with NGFW and Panorama across large-scale cloud deployments with 100+ instances, HA clusters, and VMSS auto-scaling, simulating enterprise-grade security infrastructures • Built and productionized VMSS FW delicensing workflow in Panorama’s Azure Plugin (Python); now in QA testing and rollout stage, projected to eliminate manual effort and improve lifecycle response time by 180x for 10+ enterprise customers • Implemented AI agent telemetry system in GCP for Prisma AIRS (SCM), collecting invocation metrics and visualizing misconfigurations, latency bottlenecks, and idle resources using generative AI dashboards for SecOps teams • Built a threat-driven AI Agentic pipeline for honeypot orchestration, integrating attacker IoC feedback to redeploy deception assets dynamically across GCP for PANW Global Hackathon 2025 • Simulated enterprise network breach in red-team CTF; performed recon, privilege escalation, and SQLi to compromise databases, discovering 37/41 vulnerabilities through coordinated exploitation and lateral movement tactics

Persistent Systems

Senior Software Engineer - Blockchain Research and Development

Persistent Systems

LinkedIn
2023-9 - 2024-3 · 7 mos

Goa, India

• Spearheaded research on HashiCorp Vault on secure storage and usage of private keys, delivered live client training sessions • HashiCorp research achieved enhancement of private key management for 13 + clients within a two-month period through multiple training sessions, contributing to increased security, business and client satisfaction • Automation of object-oriented data transfer across EVM blockchains by implementing a generic handler using ChainBridge protocol, attaining synchronization and reducing inter-blockchain latency by 80% • Adhered to established SDLC timelines throughout development phases with 95% timely deliverables • Directed process for deploying web services in dockerized Nginx servers with SSL/TLS configurations. Reduced setup times to instantaneous deployment using make commands, utilized by 20+ POC

Persistent Systems

Software Engineer - Blockchain Research and Development

Persistent Systems

LinkedIn
2021-8 - 2023-8 · 2 yrs 1 mo

Goa

• Engineered Ethereum Smart Contracts to represent cryptocurrency-based equity within a legacy Web 2.0 system, enhancing product security for over 50,000 users through immutability and non-repudiation while addressing Web3.0 vulnerabilities

Vehant Technologies

Software Development Intern

Vehant Technologies

LinkedIn
2020-7 - 2020-12 · 6 mos

Delhi, India

• Developed a System Monitoring Utility for Unix in C++, surveilling CPU, RAM, process, disk, and network usage using kernel APIs • Parsed proc and sys file systems, developed formulas to compute usage statistics in human-readable format, leading to hands-on understanding of the operating system’s internal workings

Education

Carnegie Mellon University

Carnegie Mellon University

LinkedIn

Information security

2024-8 - 2025-12 · 1 yr 5 mos

Coursework : Introduction to Computer Systems, Hacking and Offensive Security, Computer Networks (SCS), Security in Network Systems, Introduction to Software Reverse Engineering, Host-based Forensics

National Institute of Technology, Goa

National Institute of Technology, Goa

LinkedIn

Computer Science and Engineering

2017-8 - 2021-12 · 4 yrs 5 mos

Bachelor's Degree Project - The journey of the Criminal Justice System of India towards Blockchain with Cryptography • Constructed a two-tier hybrid blockchain model for India's Criminal Justice system, centered around a case object represented through various case document transactions. • Researched the legal system, with consultations from lawyers to ensure the model requires no changes in laws enforced by the Indian Penal Code & Indian Evidence Act. • Implemented a new Proof of Authority consensus algorithm, ARA-PoA, which ensures deterministic pseudo-random winner declaration. • Proposed model introduces decentralization, removing single point of failure problem, increases transparency between the victim/accused and case files because of multi-signature scheme, and improves traceability and accountability as transactions require digital signatures. Also, the model ensures the immutability of the cases through hash functions, which is one of the major concerns of the current model.

Aashay Wadkar's Contact Information

Email

******@***.com

Phone

(**) *** ****

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