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Machine Learning Engineer | Deep Learning Enthusiast | Open-Source Contributor
I'm a contributor to TensorZero and the Eclipse Platform , working with Rust, Java, and backend inference logic.
I specialize in machine learning pipelines , end-to-end ML projects , and deep learning .
I actively use DAGsHub + MLflow for experiment tracking and best-model selection.
Currently learning: Deep Learning , Transformers , Generative AI , LLMs , and Agentic AI .
Databases I work with: PostgreSQL , MongoDB .
Reach me at: [email protected]
Python, Java, Rust, C++, SQL,
NumPy, Pandas, Scikit-Learn, PyTorch, langchain,
FastAPI
MLflow, DAGsHub
Git, GitHub Actions
End-to-end pipelines (config/artifact-based pipelines)
NLP (TF-IDF, Bag of Words, vectorizers, Word2Vec)
Neural networks (ReLU/sigmoid/softmax, backprop from scratch)
Model selection + reproducibility using MLOps
Artificial Neural Nets (Feed-forward networks)
Convolutional Neural Networks (CNN for image processing)
RNNs (Recurrent Neural Networks)
Variants of RNN
LSTM (using "cell" for long-term memory)
GRU RNNs
Encoder-Decoder theory
Transformer Architecture
Computer Vision (CNNs, ViTs, segmentation)Generative AI
Langchain (in progress)
diffusion models,
VAEs
LLMs
transformers ✅
attention ✅
inference paths
Agentic AI (tool-using models, planning, multi-agent systems)
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