################%%%%%%%%%%%%%##**+====+**#@@@@ tsimur@readme ----------------------------------------
##########%####%%%%%%%%%%%%%%##**+====+**#@@@@ OS: ................. PyTorch 2.x / TensorFlow (Linux)
########%%%%%%%%%%%%#*+++#%%%%##**+===+**#@@@@ Host: ................ FlyRank (Machine Learning Intern)
#######%%%%%%%%%%%%*-...:=+*%%##**+===+**#@@@@ Kernel: ............... B.Eng. Artificial Intelligence
===++++**#%%%%%%%%+..:..::-+*#%##*++==+**#@@@@ (Poznań University of Technology)
:::::-----*%%%%%%+.......:.-*+*##*++==+**#@@@@ IDE: ................... Jupyter, VS Code, Google Colab
......:::-*%%%%%*.......::::++=##*+===+**#@@@@ Shell: .................. python3 -m venv .ml-lifecycle
.........-*%%%%%-.. ..::-==+++=+#*+===+**%@@@@
::....:::-*%%%%*....-=++#%%%@%*+##+++=+**%@@@@ Languages.Programming: .. Python, SQL, R (basic)
:::.:::::-*%%%%*.:--=*##%%@@@@@***+++=+**%@@@@ Languages.Real: ......... English (B2-C1), Belarusian
...:::::::*%%@%*:-===+###%@@@@@%#*+++=+**%@@@@
-:--::::::*%%@%#--===+###%%@@@@@#*+++=+**%@@@@ DL/ML: ................... PyTorch, TensorFlow, Scikit-learn,
:::::::::-*%@@@%-===+*####%@@@@@#*+++=+**%@@@@ Transformers, LLMs, NLP, RAG,
..:::::::-*%%@@@=+=---=*#**++#@@#*+++=+**%@@@@ Fine-Tuning (LoRA / QLoRA)
..:::::::-*%@@@#=+-:::.-#%+-=*@@%*+++=+**%@@@@ Interpretability: ........ TransformerLens, SAE Lens,
::::::::::*%@@%--+-:-=-:*@*+*%@@#*+++=+**%@@@@ Sparse Autoencoders, Neuronpedia
:--:::::::*@@@%--+=+**=-*@@%%@@@%**++=+**%@@@@ MLOps: .................... Docker, Kubernetes, MLflow,
::::::::::*@@@@+:+=+**=-*@@@@@@%%*+++=+**%@@@@ Optuna, FastAPI, Model Registry
::----==++#@@@@#-==+**--*@@#%@@@#*+++=+**%@@@@ Data: ...................... Pandas, NumPy, PostgreSQL,
******#%%%%%@@@@+===*+::=#%##@@@#**++=+**%@@@% Supabase (pgvector)
###%%%%%%%%@@@@@@*--+=-=*%@%*%@%#**++=***%@@@%
%%%%@@@%@%@@@@@@@%=-+-:-=*###@@%##*+++***%@@@@ Research: ................... Causal analysis of SAE
%%%%%%%%%%%%%%%%%%=-==--+*%@%@%%##*+++**#%@@@@ hallucination features, Gemma-2-2B
@%%%%+::--------===---=+*#%@@@%%##*+++***%@@@@ Writing: ..................... "RoPE Demystified" @ Medium
@@@%%+....::::---==---=+#%@@@@%%%#*+++***%@%*@
@@@@@+....:::----==----=+*#%@%+====+++***%@@+# Contact ------------------------------------------------
@@@%%*....:::----==-----=*%@@%:::--=+=***%@@@* Email: ......................... timurbardiyan@gmail.com
%%%#*=....:::----==----=*%@@@@+=---*%#***%@@@@ Medium: ......................... medium.com/@timurbardiyan
#####+....::-:..----==-=+#@@@@@+==-+%%#**%@@@@ GitHub: .......................... github.com/NeuralAlchemist-ai
====+=....::.. .---==+=+*#@@@@@=====+#***%@@@@
====+-....... .===+**+*#%@@@%-==:=+****%@@@@ GitHub Stats ---------------------------------------------
==+++=-=:.... :=*++#**#%@@@+-==::=-+**@@@@@ Focus: ............................ DL / ML Engineering
++++*+-:..........:+*+#%##%@@*--==-::--=*%@@@% Status: ............................ Open to opportunities
****+:..............=+#@%#%@+--===-:.:--=+@@@@
***=.......::.........:=+=-:::---=-:.::--=*@@@
#**. .....:::..............::::--==:.:::--+%@@
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#=. ..:.::::...::.:..:::::::.--:-:-:.:.::-+%@
#- ......::.:.:.::.::..-:.:::.-::----::.::-=#%
deep_learning/ 
Neural Networks, Transformers, LLMs, NLP, RAG, Fine-Tuning (LoRA/QLoRA), Feature Engineering, Hyperparameter Tuning, Model Evaluation
interpretability/
TransformerLens, SAE Lens, Sparse Autoencoders, Causal Intervention / Ablation Analysis, Neuronpedia
mlops_deployment/ 
MLflow, Optuna, Model Registry, Automated Evaluation Pipelines, REST APIs
data_infra/
Pandas, NumPy, PostgreSQL, Supabase (Vector DB), Matplotlib, Streamlit
Open to ML/DL engineering opportunities — always happy to talk transformers, interpretability, or MLOps.