ABOUT ME

Raya Rohith Yadav
Cybersecurity | Developer | Tech Enthusiast

Email:
rohithyadavraya@gmail.com

Located at:
Edinburgh, United Kingdom

Resume:



Hello! I'm Rohith.

Cyber Security graduate with experience across security operations, threat analysis, and automated detection workflows.

I work with Python-based automation alongside SIEM and XDR platforms to enrich alerts, improve visibility, and support effective incident response across cloud and hybrid environments.

I bring a strong engineering foundation from my undergraduate degree in Electronics and Communication Engineering, with hands-on experience in network protocols, embedded systems, and wireless communication technologies. This background strengthens my ability to analyse security issues at both the network and infrastructure level.

My academic and practical work spans privacy, usable security, and machine learning–driven traffic analysis, including an MSc dissertation on website fingerprinting attacks against the Tor Browser. I also have experience exploring security considerations around machine learning and large language models, including data exposure risks, misuse scenarios, and control design.

My interests include cloud security, security analytics, governance and controls, LLM and machine learning security, and human-centred security, where I focus on designing controls that are both effective and usable.



EDUCATION

  • Master's Degree

    The University of Edinburgh, Edinburgh, United Kingdom
    Cyber Security, Privacy and Trust
    Grade: 2:1

  • Bachelor's Degree

    Anna University, Chennai, India
    Electronics and Communication Engineering
    CGPA - 8.35

  • Board of Intermediate Education

    Narayana Junior College, Vijayawada, India
    MPC
    Percentage - 91.1%

  • Board of Secondary Education

    Alpha Public School, Prakasam, India
    Percentage - 97%



EXPERIENCE

  • Cyber Security Intern – Web & API

    Hacktify Cyber Security (Remote)

    • Built a cybersecurity intelligence platform using OSINT tools like Shodan, Nmap, and MITRE ATT&CK for automated threat mapping and risk evaluation.
    • Developed AI-driven classification pipelines and proactive alerting systems for faster detection and response.
    • Exposure: Threat Intelligence, OSINT, MITRE ATT&CK, Shodan, Python.

  • Cyber Security Intern – ML & AI

    AICTE – IBM (Remote)

    • Created a machine learning anomaly detection system for suspicious network traffic, integrating Scikit-learn, TensorFlow, and Zeek.
    • Automated threat alerting and reporting using Python scripts and Power BI dashboards.
    • Exposure: Machine Learning, Threat Detection, Zeek, TensorFlow, Power BI, Network Security.

  • IoT Intern

    BSNL (Bharat Sanchar Nigam Limited), Chennai

    • Improved BSNL’s real-time data transmission using MQTT and LoRaWAN with Raspberry Pi and Arduino platforms.
    • Utilized AWS IoT Core for secure cloud integration and performed traffic analysis via Wireshark.
    • Exposure: IoT, MQTT, LoRaWAN, AWS IoT Core, Wireshark.

  • Embedded IoT Trainee

    National Small Scale Industries, Chennai

    • Worked on embedded IoT projects using ARM Cortex-M microcontrollers and ESP8266/ESP32 modules.
    • Hands-on with Keil uVision, sensor interfacing, and real-time embedded coding using Arduino IDE.
    • Exposure: Embedded Systems, ARM Cortex-M, Keil IDE, ESP32, Sensor Integration.



PROJECTS

An Empirical Assessment of Wireless Communication Technology Issues in the Smart Home | Research Paper | ICACITE 2023

Duration: May 2023
Project overview: Published a detailed empirical analysis on wireless communication issues in smart home environments, focusing on security, signal interference, and protocol performance.
Exposure: Wireless Communication, Protocol Analysis, Smart Home Technology, Network Security

A Comparative Study of Ad-Hoc Networks for Hybrid Protocol Development | Research Paper | ICONSTEM 2024

Duration: April 2024
Project overview: Explored and compared multiple ad-hoc network protocols to support the development of a robust hybrid routing strategy for improved connectivity and security in decentralized environments.
Exposure: Ad-Hoc Networks, Routing Protocols, Wireless Communication, Hybrid Protocol Design

AI-Driven Malware Detection & Threat Analysis System | AICTE - IBM

Duration: Jan 2025 – Mar 2025
Project overview: Built a machine learning-based anomaly detection system using TensorFlow and Scikit-learn on Wireshark and Zeek network traffic. Real-time threat alerts and security dashboards were automated using Python and Power BI.
Exposure: ML, TensorFlow, Scikit-learn, Power BI, Wireshark, Zeek, Threat Detection

Automated OSINT-Based Cyber Threat Detection Platform | Hacktify Cyber Security

Duration: Feb 2025 – Mar 2025
Project overview: Built a cybersecurity intelligence platform that automated threat reconnaissance, vulnerability scanning, and risk classification using Shodan, Nmap, and the MITRE ATT&CK framework. Designed AI-based threat scoring and alerting mechanisms with real-time intelligence integration.
Exposure: OSINT, MITRE ATT&CK, Nmap, Shodan, Threat Intelligence, Python, Automation

Role-Based Dashboard SPA | Full-Stack Web Application

Duration: Mar 2025
Project overview: Developed a Single Page Application (SPA) using Angular and Node.js with dynamic dashboards for Admin and General users. Designed RESTful APIs and role-based access logic for CRUD operations and secure session handling.
Exposure: Angular, Node.js, MongoDB, TypeScript, API Integration

Web Phishing Detection Using Machine Learning | IBM Cloud Deployment

Duration: Jan 2022 – Apr 2022
Project overview: Created a Flask-based phishing detection system that classified suspicious URLs using Scikit-learn models. Frontend built in HTML/CSS; deployed on IBM Watson Studio with secure cloud storage integration.
Exposure: ML, Flask, HTML/CSS, IBM Watson Studio, Phishing Detection

Sports Analysis & Recommendation System | University of Edinburgh

Duration: Jan 2024 – Apr 2024
Project overview: Built a backend system to recommend physiotherapy/training plans based on user inputs. Used Flask, Django, MongoDB, and Jenkins CI/CD pipelines in an Agile team with UI/UX and data analysis components.
Exposure: Flask, Django, MongoDB, Jenkins, Agile, CI/CD

University of Edinburgh Student Portal | UI/UX Design & Usability Testing

Duration: Jan 2024 – Apr 2024
Project overview: Designed a course login portal with high accessibility and mobile responsiveness. Built wireframes, prototypes, and interactive elements in Figma and conducted usability testing with students to refine interaction design and visual hierarchy.
Exposure: Figma, UI/UX Design, Usability Testing, Wireframing, Prototyping, Accessibility (WCAG)

Ethereum Smart Contract Game | Blockchain Application

Duration: Sep 2023 – Dec 2023
Project overview: Developed a secure two-player game smart contract in Solidity on Remix IDE. Implemented hash-based commitments, access controls, and anti-cheat logic to ensure fair gameplay and secure fund withdrawal.
Exposure: Solidity, Remix IDE, Blockchain, Smart Contracts, Ethereum

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SKILLS

Cybersecurity & Threat Detection
Incident Management
Vulnerability Assessment
OSINT & Threat Intelligence
SIEM (Splunk)
MITRE ATT&CK Framework
Wireshark
Burp Suite
Nmap
Kali Linux
Secure Coding Practices
IAM (Identity & Access Management)
ISO 27001
Full Stack Development
Frontend: Angular, React, Next.js, Tailwind CSS
Backend: Flask, Django, Node.js
Database: MongoDB, PostgreSQL, MySQL
CI/CD: Jenkins, GitLab
REST APIs
Tools & Platforms
Git
VS Code
Power BI
IBM Watson Studio
AWS IoT Core
Figma
Python
JavaScript / TypeScript
HTML / CSS
SQL
C
Solidity
Bash


ACHIEVEMENTS

  • Got research paper published in May 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
  • Got research paper published in April 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM).
  • Class Representative – Rajalakshmi Engineering College: Represented 60+ students for 4 years, organized a Cisco-led cryptography workshop, co-led a national symposium (2,000+ participants), published IEEE papers, and served as MC for technical and official events including a session with the Cognizant Asia Zone Co-chair.
  • Team Lead – Smart India Hackathon (ARSENICS): Secured runner-up position at university level for a wearable obstacle detection system for visually impaired prosthetic limb users.
  • Runner-Up – Techgium Hackathon by L&T: Recognized for AI-driven aerospace maintenance forecasting project at a national-level challenge hosted by L&T.
  • Runner-Up – IPC (Intra-Department Project Competition): Awarded for innovative embedded prototyping and technical design within ECE department.
  • DEL Laptop Access Initiative: Contributed to an eco-friendly, affordable laptop project aimed at promoting online learning through a student-led club initiative.
  • Chief Editor – ElComm Magazine 2022: Led the editorial strategy, content selection, and design for the department magazine featuring tech insights, articles, and interviews.
  • Master of Ceremonies – College Events: Regularly hosted department-level technical symposiums and university events, introducing speakers and coordinating event flow.


CERTIFICATES



Mastercard certification

IBM certification

Tata SOC Analyst

MITRE ATT&CK

The Edinburgh Award

Certified in Cybersecurity (CC)


CODING PROFILES



TryHackMe:
Soc/Red team

University Rank-1

Leetcode


CONTACT ME

Raya Rohith Yadav
Cybersecurity Student

Email:
rohithyadavraya@gmail.com
Location:
Edinburgh, United Kingdom
Resume: