Hi, my name is

Halish Richard J

AI Automation Engineer building intelligent systems.

AI Security Automation Engineer • GenAI & LLM Specialist • Cloud Security Expert

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01.

About Me

I'm Halish Richard J, an AI Automation Engineer with end-to-end experience across web development, machine learning, GenAI, and cybersecurity.

Skilled in building practical, production-ready AI solutions using cloud platforms, modern LLM pipelines, and secure engineering practices. Passionate about AI red teaming, adversarial testing, and designing resilient automation workflows that strengthen real-world systems.

Currently working as an AI Security Automation Engineer at Threat Genie, building AI-driven SOC automation workflows that streamline cloud security operations across GitHub, AWS, and GCP environments.

CGPA 7.1
B.E Computer Science (2021-2025)
Parisutham Institute of Technology and Science
Top 10
Google Cloud Gen AI Exchange Hackathon 2025
Finalist Nationwide
Best Paper
AI-Driven Applicant Tracking (2024)
Dhanalakshmi College of Engineering
02.

Professional Experience

AI Security Automation Engineer
June 2025 – Present
Threat Genie
  • ▹Designed AI-driven SOC automation workflows that streamline cloud security operations across GitHub, AWS, and GCP environments
  • ▹Built multi-agent threat-detection pipelines using CrewAI and FastMCP SDK to autonomously correlate logs, flag anomalies, and trigger incident responses
  • ▹Automated security alert triage, incident enrichment, and cross-platform intelligence gathering using custom integrations with GitHub, AWS CloudTrail, GuardDuty, and GCP Security Command Center APIs
  • ▹Implemented RAG-based playbooks that support real-time decision-making for SOC analysts, reducing manual investigation time
CrewAIFastMCP SDKRAGPythonDockerAWSGCPLLM Ops
Development Intern
April 2025 – June 2025
Cybernerds Solutions Pvt. Ltd.
  • ▹Developed a scalable autonomous cybersecurity lab platform that dynamically provisions isolated Docker containers for each user session
  • ▹Engineered automated environment creation workflows using Python scripts and Nginx routing to securely spin up lab instances at scale
  • ▹Implemented role-based and token-based access control, ensuring secure user access to lab environments without cross-container interference
  • ▹Built a lightweight React interface enabling users to launch, monitor, and interact with their isolated lab systems seamlessly
DockerPythonLinuxNginxReactDjango
Research Intern
May 2024 – July 2024
NIT Trichy
  • ▹Researched and developed transformer-based models for sentiment and genre classification using large subtitle datasets
  • ▹Built a complete NLP pipeline including text preprocessing, tokenization, cleaning, and dataset balancing
  • ▹Improved classifier accuracy by iteratively optimizing model architecture, training loops, learning-rate schedules, and evaluation metrics
  • ▹Documented findings and contributed to internal research discussions on LLM-based multilingual text analysis
TransformersPyTorchScikit-learnPythonNLP
Intern
June 2023 – July 2023
CAP Digisoft Solutions Pvt. Ltd.
  • ▹Developed an end-to-end ML pipeline for email spam detection using Scikit-learn, from data preprocessing and feature engineering to model training and validation
  • ▹Built NLP-based feature extraction workflows (TF-IDF, token cleaning, stemming) for high-quality signal from noisy datasets
  • ▹Tuned model parameters using cross-validation to significantly improve precision and recall for spam classification
PythonScikit-learnNLPML
03.

Featured Projects

GEN Q – AI-Based Exam Question Paper Generator
Built a configurable AI system that generates exam-ready questions aligned with syllabus inputs. Delivered a functional demo with secure workflow automation and reproducible output using Azure OpenAI and Azure Functions.
Azure OpenAIPythonFlaskAzure Functions
AI Proctoring System
Developed a real-time proctoring platform capable of identity verification, multi-stream monitoring, and anomaly detection. Final year project using React.js, Python, Azure ML, OpenCV, Face Recognition, and WebRTC.
React.jsPythonAzure MLOpenCVFace RecognitionWebRTC
AI-Powered Governance – Citizen Service Delivery Automation
Designed an AI-assisted system that automates government request workflows, improves citizen query routing, and enables faster service delivery using Google Gemini, Vertex AI, BigQuery, and Firebase.
Google GeminiVertex AIBigQueryFirebase
04.

Skills & Achievements

Languages
PythonJavaScriptNode.jsTypeScript
Frameworks & Tools
AngularJSFirebaseFastAPIDockerGitFigma
AI/ML
NLPComputer VisionLLMsAzure AICrewAIMCP SDKSpeechBrainLangChain
Cloud & DevOps
AzureFirebaseLinux (Ubuntu Server)Docker
Soft Skills
Analytical ThinkingProblem SolvingCollaborationAgile Learning
Technical Achievements & Certifications

Awards & Recognition

  • ▹Best Paper Award (2024) — Dhanalakshmi College of Engineering, Chennai for AI-Driven Applicant Tracking & Interview Automation
  • ▹MSME Hackathon 2024 Finalist — Presented HireWise, an AI-powered HR automation platform
  • ▹StartupTN Design Thinking Honor (2024) — Recognized for entrepreneurial innovation and product design

Certifications

  • ▹Microsoft Technology Associate (MTA) – Introduction to Programming Using Python (June 2022)
  • ▹SWAYAM CEC – Data Structures (March 2023)
  • ▹NPTEL – Ethical Hacking (November 2023)

Research Publications

  • ▹AI-Driven Applicant Tracking and Interview Automation Using Cognitive Services — National Conference on Advanced Functional Materials Using Artificial Intelligence, Dhanalakshmi College of Engineering (November 2024)
05.

Get In Touch

I'm currently open to new opportunities and interesting projects. Whether you have a question or just want to say hi, I'll try my best to get back to you!

Email

halishrichard5@gmail.com | halishrichard@redwindow.tech

Location

Pudhupattinam, Thanjavur

Tamil Nadu, India - 613006

Portfolio

halish.redwindow.tech
LinkedInGitHub

Designed & Built by Halish Richard J

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