# Dhairya Parikh > SWE @ TMEIC | EX-Booz allen hamilton| GRA @ CCI (5G Security R&D) | Azure AI Certified | Ex-ISRO Location: San Francisco, California, United States Profile: https://flows.cv/dhairyaparikh Software Engineer specializing in secure, high-performance systems, with experience across cybersecurity, distributed systems, and applied machine learning. I recently completed advanced research in 5G/O-RAN security at Virginia Tech’s Commonwealth Cyber Initiative, where I developed reinforcement–learning–driven fuzzing frameworks, designed Radio Resource Control (RRC) encoders, and explored large protocol state spaces to identify vulnerabilities in next-generation wireless networks. Currently, I work at TMEIC, designing and deploying production-grade backend systems for mission-critical automation. My work includes building PKI-based security testing platforms, automating X.509 certificate lifecycle validation, and operating scalable services with strong CI/CD, observability, and reliability guarantees. I enjoy solving challenging engineering problems in security-critical systems, conducting large-scale experimentation, and utilizing ML-driven analysis. I’m interested in roles that span Software Engineering, Cybersecurity, and AI Systems. Core Skills Languages: Python, C/C++, JavaScript, TypeScript, SQL Backend & Systems: Distributed Systems, Linux, APIs, Data Modeling, Flask, FastAPI Security: PKI, X.509 Certificates, Secure Communications, Active Directory, Authlite, Tenable Nessus Infrastructure: Docker, CI/CD, GitHub Actions, Jenkins, AWS (EC2, S3, Lambda) ML & Research: Reinforcement Learning (Q-Learning, PPO, A2C, DQN), Experimentation Pipelines, Time-Series Modeling (LSTM) Networking: 5G, O-RAN, RRC Protocols, Fuzzing & Adversarial Testing ## Work Experience ### Software Engineer @ TMEIC Jan 2025 – Present | Roanoke, Virginia, United States Develop and commission object-oriented C++ software for large-scale, safety-critical industrial automation systems. Design, test, and optimize software to meet performance, reliability, and contractual requirements. Troubleshoot and resolve complex application and system-level issues, improving efficiency and uptime. Collaborate cross-functionally to deliver software improvements, performance tuning, and system optimization. ### Graduate Research Assistant @ Booz Allen Hamilton Jan 2024 – Jan 2025 | Arlington, Virginia, United States As part of my research at Virginia Tech’s Commonwealth Cyber Initiative, I focused on developing and testing 5G Radio Resource Control (RRC) protocols and applying reinforcement learning (RL) techniques to enhance security in Open Radio Access Networks (ORAN). Key Responsibilities & Contributions: Developed RRC message encoders/decoders using ASN.1 schemas for efficient 5G communication and validation. Designed and implemented fuzzing frameworks powered by RL to identify vulnerabilities and improve ORAN system resilience. Conducted in-depth testing of RRC message structures (setup, re-establishment, completion requests). Leveraged tools such as 5G Replay and OpenAirInterface to simulate real-world 5G network scenarios and evaluate performance. Explored RL-based approaches for intelligent fuzzing strategies, benchmarking against traditional fuzzing methods. ### Software Engineer Intern @ TMEIC Jan 2024 – Jan 2024 | Roanoke, Virginia, United States I am actively involved in designing and implementing a Public Key Infrastructure (PKI) system using EJBCA and OpenSSL for secure OPC UA server-client communication. My work focuses on building a robust Certificate Authority (CA) management system to oversee the lifecycle of certificates, including issuance, and revocation (CRLs), ensuring secure authentication across multiple systems. ### Researcher @ Space Applications Centre, ISRO Jan 2023 – Jan 2023 | Ahmedabad, Gujarat, India Worked on the project named Automated Harness System. Implemented the project using Raspberry Pi 3b and using various multiplexers/demultiplexers to implement the system to reduce the manpower needed to achieve it. ### Web Development Intern @ Bodhlab Jan 2021 – Jan 2022 My role was to handle the frontend of the website using React JS and the manage the repo using Bit Bucket. ### Intern @ Electrofly Jan 2021 – Jan 2021 Made a smart parking system using Arduino UNO and performed various circuit simulations using proteus. ## Education ### Master of Science - MS in Computer Engineering Virginia Tech ### Bachelor of Technology - BTech in Electronics and Communications Engineering Birla Vishvakarma Mahavidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/dhairya-parikh-133aba1a7 - Portfolio: https://portfolio-ruby-zeta-13.vercel.app/ --- Source: https://flows.cv/dhairyaparikh JSON Resume: https://flows.cv/dhairyaparikh/resume.json Last updated: 2026-04-11