online
~$ ./home ~$ whoami ~$ ls projects/ ~$ cat career.log ~$ tail articles ~$ netstat
govindhasamy@opspilot:~$ run ./portfolio_init.sh
  ██████╗  ██████╗ ██╗   ██╗██╗███╗   ██╗██████╗ ██╗  ██╗
 ██╔════╝ ██╔═══██╗██║   ██║██║████╗  ██║██╔══██╗██║  ██║
 ██║  ███╗██║   ██║██║   ██║██║██╔██╗ ██║██║  ██║███████║
 ██║   ██║██║   ██║╚██╗ ██╔╝██║██║╚██╗██║██║  ██║██╔══██║
 ╚██████╔╝╚██████╔╝ ╚████╔╝ ██║██║ ╚████║██████╔╝██║  ██║
  ╚═════╝  ╚═════╝   ╚═══╝  ╚═╝╚═╝  ╚═══╝╚═════╝ ╚═╝  ╚═╝

GOVINDHASAMY K

AI Engineer · Builder · Automator

PythonApplied MLAgentic AI AutomationNLPLocal-First AI Data PipelinesPrivacy-Aware
govindhasamy@opspilot:~$whoami --verbose
// output
2
active roles
10+
repos
1M+
tweets
4
certs
identity.json
name:"Govindhasamy K"
role:"AI Engineer"
location:"Tiruchirappalli, TN 🇮🇳"
education:"B.Tech AI & DS @ IGCE"
grad:2026
available:true ✓
motto:"Build first. Learn deeply."
skills.sh --list
Python
Scikit-learn
Pandas / NumPy
NLP / NLTK
OpenCV
Agentic AI
LLM Integration
Automation
Data Pipelines
Git / GitHub
Local-First AI
Prompt Eng.
govindhasamy@opspilot:~$ls -la ./projects/
// project_directory
~/projects/opspilot/
OpsPilot
⚙ IN PROGRESS

A local-first automation agent handling repetitive tasks without cloud dependency. Combines rule-based logic with LLM-driven decision making for intelligent execution.

→ Outcome: Privacy-aware agent with modular task pipeline demonstrating local-first AI principles.
PythonLLMsLocal-FirstAgent Design
⌥ view source →
~/projects/sentiment/
Twitter Sentiment Engine
✓ DONE

End-to-end NLP pipeline processing 1M+ tweets with custom tokenization, stemming, and lemmatization. Focused on preprocessing quality over model complexity.

→ Outcome: Scalable pipeline handling 1M+ records with reusable modular architecture.
PythonNLTKPandasScikit-learn
⌥ view source →
~/projects/gemini-bot/
Gemini Chatbot
✓ DONE

Conversational AI using Google Gemini API with context-aware multi-turn dialogue and clean prompt engineering patterns.

→ Outcome: Functional LLM chatbot with proper conversation state management.
PythonGemini APILLMPrompt Eng.
⌥ view source →
~/projects/cv-lab/
OpenCV Training Lab
✓ DONE

Computer vision experiments covering image processing, object detection, and visual AI using OpenCV.

→ Outcome: Practical CV skills through real-time image processing and detection pipelines.
PythonOpenCVComputer Vision
⌥ view source →
govindhasamy@opspilot:~$cat /var/log/career_history.log
// career_history.log
[PROCESS_RUNNING] PID: 001
AI Agent Engineer
@ ThinkLoop™
OCT 2025 → PRESENT
Kothagiri · On-site
  • Designing and deploying local-first AI agents for productivity automation
  • Engineering modular pipelines combining rule-based and LLM-driven logic
  • Iterating on agent architecture to improve task accuracy and reliability
[PROCESS_RUNNING] PID: 002
AI Intern
@ Kiwistron
NOV 2025 → PRESENT
Tiruchirappalli · Hybrid
  • Applying ML techniques to real-world data preprocessing and feature engineering
  • Building Python automation scripts for internal workflow optimization
  • Contributing to AI-assisted tooling for productivity improvements
[PROCESS_RUNNING] PID: 003
Tech Consultant
@ Greenvill Associates
MAR 2025 → PRESENT
Remote
  • Providing technical consulting on AI/ML integration for business workflows
  • Advising on automation opportunities and implementation strategies
[PROCESS_COMPLETED] PID: 004
AI/ML Intern
@ Edunet Foundation (AICTE)
FEB – MAR 2025
Remote
  • Completed structured AI/ML curriculum including deep learning and Mojo programming
  • Built applied ML projects demonstrating data analysis and model building skills
govindhasamy@opspilot:~$tail -f /var/log/articles
// system_logs
[COMING SOON]
[INFO] 2026-Q1 · MEDIUM
Architecture of OpsPilot: Building Local-First OS Agents
Deep dive into designing privacy-aware automation agents that run entirely on your machine — no cloud, no leaks.
[COMING SOON]
[INFO] 2026-Q1 · MEDIUM
Optimizing Python for Large Datasets: The 1M Tweet Challenge
How I built a preprocessing pipeline handling 1M+ records — memory, chunking, and speed tips.
[COMING SOON]
[INFO] 2026-Q2 · MEDIUM
NLP Fundamentals: Tokenization & Lemmatization Explained
A beginner-friendly breakdown of text preprocessing — written for builders, not theorists.
govindhasamy@opspilot:~$netstat -active --connections
// network_status
send_message.sh