class SwagatPrasadNanda:
def __init__(self):
self.role = "AI Automation Engineer"
self.org = "CSIR – IMMT (Council of Scientific & Industrial Research)"
self.location = "Bhubaneswar, India 🇮🇳"
self.mission = "Bridging the gap between deep learning research and industrial automation"
self.contact = "swagatprasad3344@gmail.com"
@property
def current_work(self):
return [
"Designing deep learning pipelines for industrial equipment automation",
"Computer vision systems for real-time process monitoring",
"LLM integration for intelligent decision-support in SCADA environments",
"Deploying production-grade ML models on edge and cloud infrastructure",
]
@property
def interests(self):
return {
"technical" : ["Neural Architecture Search", "Multimodal AI", "Model Compression", "MLOps"],
"domains" : ["Industrial AI", "Computer Vision", "Generative Models", "Robotics"],
"personal" : ["Exploring abandoned places 🏚️", "Tinkering with hardware", "Open-source"],
}
def __repr__(self):
return "AI Engineer building systems that don't just predict — they act."
| Domain | Focus |
|---|---|
| 🔬 Computer Vision | Object detection, segmentation, anomaly detection in industrial settings |
| 🤖 Industrial AI | Predictive maintenance, process optimization, sensor fusion |
| 🧠 LLM Engineering | RAG pipelines, agentic workflows, tool-use, fine-tuning |
| ⚡ Edge AI | Model compression, quantization, TensorRT, deployment on embedded hardware |
| 📊 Time-Series ML | Signal processing, LSTM/Transformer models on industrial sensor data |
| 🔁 MLOps | Experiment tracking, model versioning, CI/CD for ML pipelines |
Projects section being updated — watch this space 👀
"The real voyage of discovery consists not in seeking new landscapes,
but in having new eyes." — Marcel Proust
Applied to AI: it's not about more data. It's about smarter models.