class DeepteshRout:
def __init__(self):
self.name = "Deeptesh Rout"
self.university = "ITER, Siksha 'O' Anusandhan University"
self.degree = "B.Tech Computer Science Engineering (2023–2027)"
self.cgpa = 9.23
self.location = "Bhubaneswar, Odisha, India 🇮🇳"
self.focus = ["Machine Learning", "Full Stack Development",
"Android Development", "Open Source"]
self.interests = ["Neural Networks", "Statistical Modeling",
"General Relativity", "Violin 🎻", "Reading 📚"]
self.currently = "Exploring deep learning architectures & building production ML systems"
self.open_to = ["Internships", "Research Collaborations",
"Open Source Programs", "Hackathons"]
def motto(self):
return "Build with precision. Learn with curiosity. Ship with purpose."
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Kaggle Competition | ML Engineering End-to-end churn prediction system with 42 engineered features, multi-seed stratified cross-validation, and an optimized LightGBM–CatBoost ensemble achieving competitive ROC AUC. Stack: |
Systems Programming | Game Dev Class-based 2D shooter with procedurally generated audio, five adaptive enemy AI modes, a heuristic adaptation system, combo scoring, particle effects, and wave progression. Stack: |
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Backend Engineering | Go Multi-tenant SaaS backend built with Go and PostgreSQL — featuring auth, role-based access control, and clean REST API design. Stack: |
ML Research | Audio Processing Deep learning pipeline for bird species classification from audio using mel-spectrogram feature extraction and CNN-based inference. Stack: |
I'm actively looking for:
🎯 Internships — ML Engineering, Full Stack, Research
🔬 Research Collaborations — Neural Networks, Statistical Modeling, NLP
🌍 Open Source Programs — GSSoC, GSoC, and similar initiatives
🏆 Hackathons — AI/ML, Full Stack, Systems
If you're building something interesting, let's talk.
"The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise." — Edsger W. Dijkstra