class NibirBiswas:
def __init__(self):
self.name = "Nibir Biswas"
self.role = "AI / ML Engineer"
self.location = "India 🇮🇳"
self.os = "Linux 🐧" # non-negotiable
self.learning = ["PyTorch", "Deep Learning", "MLOps", "LLMs"]
self.passion = ["Computer Vision", "Neural Nets from Scratch", "Open Source"]
self.fun_fact = "I debug neural nets faster than I debug my sleep schedule 😅"
def currently(self):
return {
"building" : "ML tools that actually solve real problems",
"studying" : "The math behind every layer — no black boxes",
"mantra" : "Understand it. Build it. Break it. Rebuild it better.",
}
def __str__(self):
return "Turning data into decisions, one epoch at a time. 🚀"
me = NibirBiswas()
print(me)
🧠 Deep Learning Theory ████████████░░░░░░░░ 60% — diving into the math
🔥 PyTorch ███████░░░░░░░░░░░░░ 35% — hands-on every day
🏗️ MLOps & Pipelines ████░░░░░░░░░░░░░░░░ 20% — infra for real models
🤗 HuggingFace / LLMs ██░░░░░░░░░░░░░░░░░░ 10% — on the horizon
🐳 Docker / Containers ███████████░░░░░░░░░ 55% — getting comfortable
🐧 Linux is my home — I don't just use it, I live in it.
🔬 I build frameworks before I use them —
micro-tensorexists because understanding beats importing.
🌙 Best debugging happens at midnight — when the logs finally start making sense.
📖 I read papers for fun — arxiv.org is my social media.
☕ Fuel: Coffee → Code → Train → Evaluate → Repeat.
"The best model is the one you understand completely."