class AIEngineer:
def __init__(self):
self.name = "Amal S P"
self.role = "AI/ML Engineer & Data Scientist"
self.location = "π Kerala, India"
self.education = "B.Tech in Computer Science"
self.focus = ["Deep Learning", "NLP", "Computer Vision", "MLOps"]
self.current_work = "Building Production-Ready ML Solutions"
def say_hi(self):
print("Thanks for dropping by! Let's innovate together!")
me = AIEngineer()
me.say_hi()| π― Project | π Description | π» Tech Stack |
|---|---|---|
| Deepfake Detection | High-accuracy deepfake image detection system | Python, TensorFlow, CNN |
| NLP Sentiment Analyzer | Real-time sentiment analysis for social media | PyTorch, Transformers, BERT |
| ML Pipeline Automation | End-to-end MLOps pipeline with CI/CD | Docker, Kubernetes, AWS |
| Computer Vision API | Production-ready object detection API | FastAPI, YOLOv8, Redis |
πΉ AI/ML Engineering roles at top MNC companies
π Location: Kerala, India (Open to relocation)
π Specialization: Machine Learning, Deep Learning, MLOps
β¨ Interests: Generative AI, LLMs, Computer Vision, NLP
A production-ready AI-powered medical assistant chatbot that provides accurate, real-time medical information.
π― Key Features:
- π€ Powered by Groq's LLaMA 3.1 8B Instant model
- β‘ Ultra-fast response times (< 3 seconds)
- π¨ Clean, professional Gradio interface
- π Secure API key management
- π― 100% free deployment on Hugging Face Spaces
- βοΈ Educational medical information with safety disclaimers
π οΈ Tech Stack: Python | Gradio | Groq API | Hugging Face Spaces | Git
π¨βπ» Made with β€οΈ by Amal S P
Β© 2025 | AI/ML Engineer & Data Scientist | Kerala, India
"Turning data into intelligence, one model at a time"