class Joshi:
def __init__(self):
self.name = "Joshi"
self.role = "Aspiring ML Engineer"
self.education = "BTech CSE (Final Year)"
self.location = "Jaipur, Rajasthan 🇮🇳"
self.languages = ["Python", "C++", "SQL"]
self.interests = ["Machine Learning", "Deep Learning",
"Psychology", "Persuasion & Communication"]
self.goal = "Crack FAANG & build intelligent systems"
def say_hi(self):
print("Thanks for stopping by! Let's build something amazing together 🚀")
me = Joshi()
me.say_hi()I'm a passionate Machine Learning enthusiast and BTech CSE student who lives and breathes data, models, and algorithms. My mission is to master ML/DL from the ground up — from tensors to transformers — and land a role where I can push the boundaries of what AI can do.
When I'm not training neural networks, I'm grinding DSA in C++ for FAANG prep, exploring human psychology, or figuring out the science behind great communication and persuasion.
- 🤖 Deep Learning Curriculum — Working through CNNs, Transfer Learning & beyond with PyTorch
- 📖 Hands-On ML — Scikit-Learn, Keras & TensorFlow (3rd Ed.) — Chapter by Chapter
- ⚔️ DSA Mastery in C++ — Two Pointers · Sliding Window · String Algorithms · Dynamic Programming
- 🧪 Clustering & Unsupervised Learning — K-Means, GMMs, DBSCAN
| Domain | Topics Covered | Proficiency |
|---|---|---|
| Supervised Learning | Linear/Logistic Regression, SVMs, Decision Trees, Random Forests, Ensemble Methods | ████████░░ 80% |
| Unsupervised Learning | K-Means, GMMs, DBSCAN, Hierarchical Clustering, PCA | ███████░░░ 70% |
| Deep Learning | ANNs, CNNs, Backpropagation, Activation Functions | ██████░░░░ 60% |
| PyTorch | Tensors, Autograd, Custom Datasets, DataLoaders, Training Loops | ███████░░░ 65% |
| NLP Fundamentals | Text preprocessing, KMP, Rabin-Karp, Z-Algorithm, String Matching | ███████░░░ 70% |
| Data Wrangling | Pandas, NumPy, Feature Engineering, EDA | ████████░░ 80% |
- 🎯 Completed structured PyTorch curriculum — Tensors → CNNs → Transfer Learning roadmap
- 📚 Mastered Hands-On ML (Ch. 9) — Clustering algorithms (K-Means, GMMs, DBSCAN) with deep mathematical intuition
- ⚡ DSA Patterns Conquered — Two Pointers (incl. 3Sum, 4Sum, Cycle Detection), Sliding Window, KMP, Rabin-Karp, Z-Algorithm
- 🔍 Advanced SQL — Stored Procedures, Triggers, complex query optimization
- 🧬 Full ML Pipeline Understanding — From raw data preprocessing to model deployment concepts
- 🤝 Strong CS Foundations — Computer Architecture, Pipelining, Flynn's Taxonomy, RISC vs CISC, Formal Languages & Automata
- 🧠 I'm fascinated by the psychology of persuasion — understanding how minds work helps me think about AI differently
- 📖 I believe in brute force first — understand the naive solution deeply before optimizing
- 🎯 I'm obsessed with first-principles thinking — I don't just learn how, I learn why
- 💬 I study body language & communication because great engineers also need to be great communicators
- ☕ My debugging sessions are fueled by curiosity, not coffee
"The best model is the one that learns from its mistakes — and so do I."
⭐️ If you find my work interesting, drop a star! ⭐️