Nithya S.

Key Skills

Software

Don't disclose

Roboflow

Top Subject Matter

Data science training

machine learning pipelines

Python Domain Expertise

Top Data Types

Document

Text

Image

Top Task Types

Data Collection

Segmentation

Classification

Entity (NER) Classification

Freelancer Overview

AI Security Consultant - DefenAI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Roboflow, and CleverHans. Education includes ISO/IEC 42001:2023 Lead Auditor, N/A and Accelerated Industry-Centric Training Pathway (AITP), NTUC Learning Hub. AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

AI Security Consultant - DefenAI

TextSegmentationClassification

Delivered AI security consulting for adversarial machine learning testing, LLM vulnerability assessments, and secure model deployment for client engagements. Applied threat modeling and security testing methodologies to identify, document, and mitigate AI-specific attack vectors across production ML pipelines. Provided AI governance and compliance guidance aligned to ISO/IEC 42001, translating technical findings into actionable risk and mitigation strategies. • Conduct adversarial ML testing (evasion, poisoning, extraction) and LLM security checks (prompt injection, jailbreak analysis). • Operationalize AI and cybersecurity testing labs using CleverHans, IBM ART, and FuzzyAI for robustness benchmarking. • Implement MITRE ATLAS and OWASP LLM Top 10 threat-modeling frameworks in consulting deliverables. • Produce AI risk assessments, technical documentation, and governance artifacts for compliant deployment.

2025 - Present

Artificial Intelligence Security Consultant — DefenAI (Apr 2025–Present)

Provided AI security consulting that included adversarial machine learning testing and LLM vulnerability assessment with practical guidance for secure model deployment. Applied MITRE ATLAS and OWASP LLM Top 10 frameworks to identify and document AI-specific attack vectors across client ML pipelines. Integrated adversarial ML tools to benchmark robustness and integrity while supporting governance and compliance alignment deliverables. • Ran adversarial ML and LLM vulnerability assessments (prompt injection, jailbreak analysis) • Applied threat-modeling frameworks to document and mitigate attack vectors • Operationalized AI and cybersecurity testing labs using CleverHans, IBM ART, and FuzzyAI • Produced AI governance and compliance documentation aligned to ISO/IEC 42001

2025 - Present

Adjunct Faculty – AI Security & Responsible AI — Lithan Academy (Aug 2025–Present)

RoboflowDocument

Designed and delivered specialized programs in AI security, adversarial machine learning, AI model governance, and responsible AI for working professionals. Facilitated hands-on labs to help learners validate governance practices and evaluate robustness in computer-vision workflows. Built curriculum using real-world LLM security and threat-modeling case studies to prepare learners for AI governance and security roles. • Delivered advanced AI and cybersecurity cohorts to 200+ professionals • Integrated case studies on LLM security, AI threat modeling, and secure deployment • Facilitated labs on AI governance validation and dataset management • Mentored learners transitioning into AI security careers

2025 - Present

Data Science Trainer — Datamites (Aug 2024–Jan 2025)

Don't disclose

Designed and delivered applied data science and machine learning training programs with hands-on, project-based learning that emphasized practical ML pipeline fundamentals. Supported learners’ development of Python-based analytics workflows aligned to industry competency needs for job readiness. Acted as an instructional coach to strengthen applied proficiency leading into industry placement. • Trained learners on Python programming and ML pipeline fundamentals • Used structured learning pathways and technical documentation for consistent delivery • Mentored learners through hands-on, project-based practice • Supported career-transitioning learners toward industry placement

2024 - 2025

Assistant Professor, Department of Information Technology — Kumaraguru College of Technology (Mar 2023–Jul 2024)

Don't discloseData Collection

Delivered undergraduate curriculum in information technology, machine learning, and cybersecurity fundamentals while integrating industry practices to improve employability. Led institution-wide faculty development programs that strengthened teaching and pedagogical capacity across peers. Coordinated with partner programs to enhance cloud and security educator competency. • Taught ML and cybersecurity fundamentals with updated industry-aligned content • Ran a 12-day faculty development program focused on leadership and clarity • Delivered an 8-day faculty development program on Juniper Network Cloud and automated educator training • Collaborated across departments to align technical curriculum with workforce needs

2023 - 2024

Education

Work History