Nandakishor Dakka
Atlanta, GA nandudakka@proton.me +1(404)-431-5228 nandudakka.com nandu343
Education
Georgia Institute of Technology
B.S. Computer Science - Concentration in Cybersecurity and Intelligence
GPA: 4.0/4.0
◦ Organizations: GreyHat (Cybersecurity), GTXR, S&TPC, Competitive Programming @ GT, Vertically Integrated Projects
◦ Coursework: Data Structures and Algorithms, Computer Systems I & II, Systems Design, Machine Learning
◦ Honors: FBLA Network Design/MIS National Champion, National Cyber League (Top 1%), GIAC Advisory Board, National
Cyber Scholar with Honors, University of North Georgia Cyber Excellence Scholar with Honors
Work Experience
Risk & Security Engineer Intern: Artificial Intelligence & Machine Learning
Charlotte, NC
Vanguard
May 2026 – Present
◦ Engineering and optimizing ML-driven fraud detection models using Python and TypeScript to increase the identification
of anomalous transaction patterns and decrease false-positive alerts across enterprise financial platforms.
◦ Developing automated role-creation pipelines to evaluate the integrity of Identity and Access Management (IAM) config-
urations, strengthening the principle of least privilege across cloud-native microservices and streamlining manual security
review workflows.
◦ Implementing robust Policy-as-Code (PaC) guardrails within the CI/CD pipeline, automating the detection of misconfig-
urations to ensure continuous compliance with internal security standards prior to production deployment.
Security Engineer Intern: Automation & Threat Intelligence
Norcross, GA
MGT Impact Solutions
March 2025 – May 2026
◦ Optimized modular SOAR orchestration logic within Tines using Python to automate end-to-end incident response pipelines,
reducing Mean Time to Remediate (MTTR) by 30% through event-driven automation.
◦ Designed a Detection-as-Code framework aligned with MITRE ATT&CK, authoring 15+ high-fidelity YAML rules and
implementing automated validation tests for production security monitoring.
◦ Architected a high-performance Windows Event Log forwarder in C#, optimizing SIEM ingestion for 40+ production machines
while interfacing with AWS/OCI APIs for cloud-native telemetry.
Research Experience
Software Engineer: Data Infrastructure & Cloud Computing
Grid Resilience, Outage, Weather, Emergency Response (GROWER)
Atlanta, GA
January 2026 – Present
◦ Building a high-availability nationwide database to ingest and standardize utility telemetry, optimizing schema design for
resilient power system monitoring against extreme weather events.
◦ Developing a scalable data pipeline using AWS Cloud Watch and web-scraping logic to facilitate machine learning-driven
analysis of socio-economic vulnerability during outages.
Undergraduate Malware Research Assistant
Atlanta, GA
Georgia Institute of Technology - CyFi Lab
August 2025 – March 2026
◦ Engineered robust YARA-based detection logic to hunt for AI-driven malware, successfully identifying 10+ malicious
samples within VirusTotal datasets.
◦ Performed static and dynamic analysis to reverse 5+ info-stealing samples using IDA Pro, Python, and Angr and produced
4 detailed technical reports summarizing malware behavior and IOCs.
Projects
AI CTF LLM Agent (Tools Used: Python, Lite LLM, MCP)
◦ Developed a Python-based orchestration framework to integrate the LLM with a suite of security tools (GDB, Ghidra,
etc.) sponsored by Georgia Tech’s SSLab, enabling automated program analysis and tool-use.
◦ Tested and benchmarked the agent’s performance against real-world CTF challenges in pwn (binary exploitation), web,
and reverse engineering categories: consistently 5x faster than a human.
Malware Analysis Sandbox (Tools Used: Go, Libvirt API)
◦ Built a custom malware sandbox in Go leveraging the Libvirt API for VM isolation, architecting a secure environment for
programmatically detonating and analyzing untrusted binaries.
◦ Developed a systems-level telemetry engine to monitor process lifecycle, filesystem mutations, and network socket activity
for post-detonation behavioral analysis.
AI-Enhanced Disinformation Risk & Policy Analysis
◦ Analyzed the ”arms race” between synthetic media generation and detection algorithms, identifying critical vulnerabilities in
16 U.S. infrastructure sectors.
◦ Formulated a three-pillar framework for federal intervention, including mandated algorithmic transparency for social media
platforms and the creation of an AI-Disinformation Observatory.
◦ Selected for conditional acceptance by the Journal of Science Policy & Governance (JSPG) following a competitive peer-review
process.
Skills
Certifications: GSEC, GFACT, CompTIA Security+, IT Specialist (Java, Software Development, Network Security)
Key Domains: Incident Response (IR), Threat Detection + Hunting, Reverse Engineering, Security Automation (SOAR)
Languages + Developer Tools: C++, C#, Golang, Java, JavaScript, Python, TypeScript, .NET, Linux, Git/GitHub
Security Stack: Wireshark, Nmap, Burp Suite, Nessus, Tines, Rapid7, Kali Linux