Aryan Saini

AI/ML Engineer & Open-Source Contributor

India

About Me

Open-source contributor with experience building LLM pipelines, time-series forecasting models, and applied deep learning projects.

View my full resume

Open Source Contributions

Selected work across time-series and ML tooling

sktime

Core Developer

Contributed advanced forecasters and transformers (Hurst Exponent, RBF Neural Network Forecaster, MAPA) to strengthen classical.

Time-Series

Forecasting

Sklearn

PyTorch Forecasting

Maintainer

Led a major refactor introducing LightningDataModule for scalable dataset pipelines, reducing coupling and enabling faster onboarding for contributors. Also, added the test framework for testing new models. And added models like xLSTMTime

PyTorch

Lightning

Time-Series

Forecasting

pykalman

Collaborator

Worked on maintenance and CI/CD improvements; helped stabilize the v0.10.0 release and enhance documentation for active users.

Kalman Filters

PyTorch Tabular

Maintainer

Worked on maintenance and CI/CD improvements; Added new features and fixed bugs to enhance usability for tabular data modeling.

PyTorch

Lightning

Tabular Data

Featured Projects

Some of my recent work and contributions

xLSTMTime – Time-Series Forecasting

Implemented the xLSTMTime architecture combining sLSTM and mLSTM with exponential gating and enhanced memory for long-term multivariate forecasting. Benchmarked on electricity demand and traffic datasets with 5–10% lower MSE/MAE than standard LSTM baselines and outperforming transformers on select horizons.

PyTorch

sktime

Time Series

LightningDataModule

Attention

Tversky-Layer Implementation

Implementation based on 'Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity'. Provides a Tversky-based layer for controllable similarity learning in deep models.

Deep Learning

Similarity

PyTorch

Anime Face Generation (DCGAN)

DCGAN trained to synthesize realistic anime faces. Generator/discriminator trained adversarially; results show crisp features and stable training with tuned learning rates and regularization.

GAN

DCGAN

Computer Vision

PyTorch

Image Caption Generator

End‑to‑end pipeline on Flickr8k using VGG16 for feature extraction and an LSTM decoder with attention to produce context‑aware captions. Achieved BLEU‑1/2/3/4: 0.4851 / 0.3028 / 0.2084 / 0.1013.

TensorFlow

Keras

VGG16

LSTM

Attention

NLP