Jaiganesh Anandan

AI/Cybersecurity Researcher & Developer

Albany, US.

About

Highly accomplished AI and Cybersecurity professional with a strong research background and practical expertise in developing advanced multimodal AI models, securing enterprise applications, and conducting in-depth vulnerability assessments. Proven ability to innovate at the intersection of AI and security, evidenced by significant publications and hands-on experience in intrusion detection, penetration testing, and system hardening. Eager to leverage a unique blend of machine learning, data science, and robust cybersecurity skills to drive impactful research and development in cutting-edge environments.

Work

Accenture Solutions Pvt. Ltd.

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Application Development Associate / Analyst – Maximo Developer

Chennai, India, India

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Summary

Spearheaded the development and security of enterprise-scale applications and automation workflows for large operational deployments, integrating advanced security practices and database solutions within Agile frameworks.

Highlights

Engineered and secured enterprise applications and automation workflows with Java, Python/Jython, and IBM Maximo, optimizing operational deployments for asset, work order, and inventory management.

Implemented robust encryption and access control mechanisms within application workflows, ensuring compliance with audit requirements and protecting sensitive data.

Designed and deployed critical system customizations, including UI enhancements, validations, business rules, and BIRT reporting pipelines, to enable KPI tracking, enhance asset performance monitoring, and ensure maintenance compliance.

Optimized data retrieval and processing by integrating enterprise applications with Oracle databases, developing complex SQL queries and procedures for cross-functional Agile teams.

Education

University at Albany, SUNY

Albany, USA, United States of America
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MS Digital Forensics and Cybersecurity - Cyber Operations Grade: 4.0 GPA

SRM Valliammai Engineering College

Chennai, India, India
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BE Computer Science and Engineering Grade: 3.37 GPA

Awards

4th Place - Hackfest CTF 2025

University at Albany, SUNY

Achieved 4th place in a competitive Capture The Flag event, demonstrating advanced practical skills in penetration testing, vulnerability analysis, and incident response.

Dean's Merit Award Recipient

University at Albany, SUNY

Recognized for outstanding academic achievement in the Master of Science program.

Top 4% - TryHackMe (OMNI Rank)

TryHackMe

Achieved OMNI rank by completing over 100 cybersecurity labs and CTFs, showcasing hands-on expertise in exploitation, enumeration, and red/blue teaming, with continuous learning in advanced offensive and defensive topics.

Event Organizer

Computer Society of India

Organized events for the Computer Society of India during undergraduate studies.

Publications

Explainable Depression Detection: A DSM-5-Aligned Multimodal Framework

IEEE Transactions on Affective Computing (manuscript in preparation)

Co-authored a manuscript detailing an explainable multimodal framework for depression detection, designed for submission to IEEE Transactions on Affective Computing.

Synthetic Attack Dataset Generation With ID2T for AI-Based Intrusion Detection in Industrial V21 Network

IEEE Open Journal of Vehicular Technology

Co-authored a publication on generating synthetic attack datasets for AI-based intrusion detection in industrial networks, contributing to enhanced security protocols.

Certificates

CompTIA Security+ (SY0-701)

CompTIA

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft

Advent of Cyber 2024

TryHackMe

Skills

Security Tools

Wireshark, Snort, Git, IDA Pro, Autopsy, Burp Suite, Binwalk, Nmap, Security Onion, ELK stack, Metasploit, Splunk, Ghidra.

Security Domains

Network Security, Cryptography, Application Security, Incident Response, Penetration Testing, Malware Analysis, Risk Mitigation, System Hardening, Vulnerability Assessment, Exploitation.

Systems, Platforms & Frameworks

Python, Java, Bash, PowerShell, Linux, Windows, Kali Linux, NIST CSF, MITRE ATT&CK, ISO 27001, OWASP Top 10, CIA Triad, Cyber Kill Chain, Azure, Docker, VMware, VirtualBox, IBM Maximo.

Machine Learning & Deep Learning

PyTorch, Scikit-learn, XGBoost, CatBoost, BERT, LSTM, GRU, MLP, Transformers.

ML Concepts & Methods

Classification, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Model Tuning, Systematic Evaluation.

Data Science & Statistical Analysis

Pandas, NumPy, Data Preprocessing, Statistical Modeling, Model Evaluation, Data Exploration & Visualization, Jupyter Notebooks, SQL.

Programming Languages

Java, Python, Jython, Bash, PowerShell, SQL.

Projects

AI-Powered Mental Health Detection System

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Summary

Developing a multimodal AI framework for depression and PTSD detection using audio, video, and text features. Conducting systematic feature extraction, feature selection, model tuning, and evaluation to study reliability and robustness in early-stage mental health assessment using PyTorch, XGBoost, CatBoost and Scikit-learn.

AI-Based Network Intrusion Detection System / Dataset Toolkit

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Summary

Proposed and evaluated a synthetic attack dataset generation pipeline using the ID2T toolkit, validating dataset fidelity and effectiveness through an AI-powered intrusion detection pipeline on PCAP-derived features. Conducted feature engineering, anomaly detection, and performance evaluation using Scikit-learn classifiers to demonstrate applicability for IDS research.

Formal Specification Generation from Unit Tests

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Summary

Developed an automated research pipeline using large language models and Lean 4 to generate formal specifications from unit tests, achieving 100% verification across 354 test cases through iterative refinement and correctness validation.

SCADA Security – Raspberry Pi Remote Car Project

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Summary

Built a remote-controlled car using Raspberry Pi and implemented system and network hardening with real-time monitoring to study security controls in industrial control system environments.

Reverse Engineering IoT Camera Firmware

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Summary

Performed binary analysis of IoT firmware; proposed encryption and security enhancements.

Critical Vulnerability Assessment & Exploitation - Penetration Testing

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Summary

Identified and exploited critical vulnerabilities (CVEs) in 10 web applications using Burp Suite, Nmap, and Metasploit, demonstrating Remote Code Execution, Command Injection, and Privilege Escalation.