class JishnuPG:
def __init__(self):
self.name = "Jishnu P G"
self.location = "Palakkad, Kerala, India"
self.education = "BCA Final Year @ Yuvakshetra Institute of Management Studies"
self.next = "Pursuing MCA"
self.passion = ["Building AI projects", "Full Stack Development", "Open Source"]
self.interests = ["Artificial Intelligence", "Machine Learning", "GenAI", "DevOps"]
self.hobbies = ["Gaming", "Movies", "Exploring new tech"]
self.open_to = "Fresher roles"
self.goal = "Ship real-world software. Get hired. Keep learning."
def say_hi(self):
print("Thanks for stopping by! Let's build something great. 🚀")
me = JishnuPG()
me.say_hi()Built as my major project — a hybrid AI + physics system for appliance-level energy prediction, modelled on Kerala-specific household data
| Layer | Technology |
|---|---|
| ML Model | Deep Neural Network — TensorFlow / Keras |
| Data Engineering | Monte Carlo simulation · 12,000 synthetic households |
| Backend | FastAPI · Parallel processing · Anomaly detection |
| Frontend | React + Next.js |
| Database | PostgreSQL · Automated model retraining pipeline |
Academic — Learned in Class
These are languages and subjects I have formally studied and practised.
Project Experience — Used While Building
These are frameworks and tools I picked up hands-on while building real projects.
Tools & Environment
| Certificate | Issuer | Year |
|---|---|---|
| 5-Day AI Agents Intensive | Google via Kaggle | 2025 |
| Gemini Certified Educator | Google for Education | 2025 |
| Generative AI Mastermind | Outskill | 2025 |
| Python Training | IIT Bombay — Spoken Tutorial | 2024 |
| Generative AI with Google Cloud | Google for Developers | 2023 |
| Android with Compose | Google for Developers | 2023 |
| Career Essentials in Generative AI | Microsoft & LinkedIn | 2023 |
