$ cat model_summary.txt
Model: Himanshu Yadav
Degree: M.Tech, Data Analytics
Objective: minimize(ignorance) subject to time_constraints
Status: active
$ tail -f checkpoints.log
[ckpt] first line of code -> curiosity initialized
[ckpt] DSA grind started -> pattern recognition improving
[ckpt] ML fundamentals learned -> gradient pointing downhill
[ckpt] built with FastAPI/Flask -> backend layer added
[ckpt] NLP / LLMs started -> attention weights shifting
[ckpt] M.Tech, Data Analytics -> batch size: real-world problems
$ python model.py --summary
Input Layer → Curiosity, DSA practice
Hidden Layer 1 → Python, C++
Hidden Layer 2 → PyTorch, TensorFlow
Hidden Layer 3 → FastAPI, React
Regularization → Docker, Git
Output Layer → Working software
Loss Function → distance(current_skill, next_problem)
$ cat hyperparameters.yaml
currently_exploring:
- machine_learning_and_deep_learning_fundamentals
- natural_language_processing_and_llms
- python_backend_frameworks: [fastapi, flask]
- leetcode_and_algorithms
open_to:
- collaborations
- internships
- knowledge_exchange
> model.predict(next_5_years)
Output: still computing — check back after the next commit