Shyam S.

Cybersecurity Analyst in Contract Review, Compliance, and Legal Research

N/A, India

Key Skills

Software

Don't disclose

Top Subject Matter

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

No task types listed

Freelancer Overview

Fraud & Risk Engineering Analyst in Contract Review, Compliance, and Legal Research. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Claude Code. Education includes Bachelor of Technology, SRM Institute of Science and Technology (2028) and Associate Degree, Nullbytes Academy (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Automated Fraud Detection & Abuse Prevention Scanner — AI code evaluation for fraud tooling (Dec 2025–Present)

Built and evaluated an automated fraud detection and abuse-prevention scanner that performs behavioral analysis and pattern matching on signals indicating fraud and trust & safety risks. Generated structured JSON fraud risk reports with severity classifications by assessing missing controls, payment anomalies, transaction patterns, CORS-related suspicious behaviors, and data exposure risks. Evaluated AI-generated fraud detection code using Claude Code and validated edge cases, false positives/negatives, and automated system failure modes. • Engineered a Node.js-based fraud detection tool for abuse patterns and trust & safety risks • Produced Critical/High/Medium severity JSON risk reports aligned to industry standards • Assessed AI-generated code in Claude Code to surface edge cases and failure modes • Deployed in production-like environments for fraud prevention testing and trust & safety evaluation

2025 - Present

SupplyAI — risk scoring & transaction monitoring platform development and AI output evaluation (Mar 2026–Apr 2026)

Don't disclose

Developed a machine-learning-based risk scoring and real-time transaction monitoring platform to predict fraud risk using predictive analytics. Evaluated AI model outputs to measure fraud-prevention effectiveness and identify potential system weaknesses. Applied fraud engineering evaluation practices to improve risk scoring accuracy for transaction monitoring use cases. • Implemented real-time fraud risk prediction and transaction monitoring features • Assessed AI model outputs against fraud prevention objectives • Identified weaknesses in model-driven risk scoring and monitoring workflows • Used evaluation-driven iteration to improve detection effectiveness

2026 - 2026

Fraud & Risk Engineering Analyst — evaluation and validation of AI-assisted fraud prevention systems (Oasis Infobyte, Dec 2025–Jan 2026)

Don't disclose

Evaluated AI-generated implementations for fraud detection and risk scoring by reviewing model outputs, edge cases, and failure modes in automated fraud prevention tooling. Assessed transaction monitoring and abuse-prevention behaviors to identify fraud patterns, anomalies, and trust & safety risks and produced severity-rated risk assessment reports. Used frontier AI coding agents to analyze and validate code quality and defensive effectiveness in realistic fraud engineering scenarios. • Reviewed 25+ security vulnerabilities for fraud/abuse potential and prioritized remediation strategies • Conducted threat analysis and risk modeling to identify likely fraud scenarios and reduce the fraud surface • Developed and analyzed fraud detection rules and risk scoring algorithms using Python and JavaScript • Applied engineering judgment to validate edge cases and failure modes in model-generated code

2025 - 2026

Yes, I have experience participating in AI training and evaluation activities, including assessing model responses, foll

Yes, I have experience participating in AI training and evaluation activities, including assessing model responses, following guidelines, identifying quality and safety issues, and providing structured feedback. I am familiar with annotation standards and maintaining consistency and accuracy.

Not specified

Education

SRM Institute of Science and Technology

Bachelor of Technology, Electronics and Communication Engineering

Bachelor of Technology

2024 - 2028

Nullbytes Academy

Associate Degree, Ethical Hacking

Associate Degree

2025 - 2025

Work History

N/A

Risk Scoring & Transaction Monitoring Engineer (Project)

N/A

2026 - 2026

N/A

Fraud Detection Systems Developer (Project)

N/A

2025 - 2026