ketan@sec — bash — 80×24
➜ ~ whoami

Ketan Jain

 
# Security Researcher · AI/ML Engineer · Python Developer
# Building intelligent, secure & scalable systems
./view_projects ./contact_me
98%
fraud model accuracy
40%
less manual monitoring
60%
less manual reporting
01.

about

I'm a Security Researcher and AI/ML Engineer with hands-on experience across machine learning, cybersecurity, and Python-based application development. I build AI-powered applications, vulnerability assessment tools, subdomain enumeration engines, and data-driven solutions.

I hold a B.Tech in Computer Science Engineering (AI-ML Specialization) from Bharati Vidyapeeth Deemed University (8.14 CGPA), and I'm passionate about applying AI/ML and cybersecurity research to build systems that are intelligent, secure, and scalable.

02.

experience

Software Developer Trainee · TalentBridge Technologies Pvt. Ltd.
04/2026 – Present
Bengaluru
  • Built an Employee Attendance Analytics Dashboard using AWS S3, Amazon Athena, Pandas, and Power BI for real-time workforce insights.
  • Developed an AI-powered anomaly detection agent, reducing manual monitoring effort by 40%.
  • Built LLM-driven pipelines on AWS Bedrock for stationary behavior, activity jump detection, and product-location inconsistency analysis.
AI Intern · RWA Inc
11/2025 – 03/2026
Remote
  • Analyzed 100+ AI voice campaign interactions to optimize engagement and workflow performance.
  • Designed n8n automation pipelines for structured data generation from outreach campaigns.
  • Built Gmail AI automation workflows that reduced manual reporting effort by 60%.
Security Researcher · BloggersCon Vision Pvt. Ltd.
05/2025 – 10/2025
Pune
  • Conducted security research to identify and analyze business logic vulnerabilities across web applications.
  • Performed vulnerability assessments and manual security testing to discover security flaws based on client requirements.
  • Used Burp Suite, Nmap, and custom Python scripts to support web app security testing and automate repetitive tasks.
03.

skills

languages

PythonSQL

cybersecurity

Vulnerability AssessmentSecurity ResearchThreat AnalysisThreat IntelligenceOWASP Top 10Endpoint SecurityInformation Security

machine_learning

Supervised MLRegressionRandom ForestClassificationAI Agents

data_analytics

Power BIPandasNumPyDAXPower QueryStatistical AnalysisData Cleaning

cloud_and_tools

AWS S3Amazon AthenaAWS BedrockBurp SuiteNmapGitLinuxn8nStreamlitJupyter
04.

projects

⬢

Credit Card Fraud Detection System

Built Random Forest and XGBoost models achieving 98% accuracy using SMOTE for class balancing, deployed via a Flask API.

⬡

TrinetLayer — Secret Scanning Engine

Python security tool for trinetlayer.com automating subdomain enumeration and analyzing JavaScript assets (incl. Ghost JS) and CSV files for exposed endpoints, secrets, and vulnerabilities.

◆

Research Paper — ML for Fraud Detection

Published: Comprehensive Review of Machine Learning Techniques for Credit Card Fraud Detection.

05.

certifications

[✓] Develop GenAI Applications — Google Cloud
[✓] Python Programming — IIT Bombay Spoken Tutorial
[✓] Published research paper on ML techniques for credit card fraud detection
[✓] Completed multiple web application penetration testing & security research engagements
06.

contact

Let's build something secure.

Open to roles and collaborations in AI/ML engineering and security research. Reach out — my inbox is always open.

✉ jketan7357@gmail.com ☎ +91 73572 35126 in/ ketan-jain