I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, AI Engineer at Netze BW.

Applying new technologies and methods in Data Science & AI is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

Most people running local AI models have no idea which ones will actually work on their hardware.

𝗹𝗹𝗺𝗳𝗶𝘁 is a small open source CLI tool that scans your system and tells you exactly which models fit your setup.

No more downloading files that turn out to be too large to run.

Here is what it does:
✅ Evaluates 150+ models from 30 providers against your CPU, GPU, and RAM specs.
✅ Returns a ranked list of models that match your hardware.
✅ Connects with Ollama and LM Studio to detect and download models directly.
✅ Supports multi GPU setups and Mixture of Experts architectures.

It's a simple quality of life tool that saves real time for developers working with local AI.

🔗 Link to repo: github(.)com/AlexsJones/llmfit


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I teach AI Engineers the concepts and tools they need to stay ahead | AI Engineer @ Netze BW

Adobe

Machine Learning Engineer II (GenAI)

Lightning AI

Making Open Source Contributions across Lightning Repositories

Lightning League Member 

LanceDB

Technical Writer

JarvisLabs.ai

Global Brand Ambassador

Weights & Biases

Engineering high quality Machine Learning Notebooks for Kaggle and writing Technical Reports.

Dev Expert

Rephrase.ai

(Acquired by Adobe)

Working in Computer Vision and Audio Processing

Deep Learning Researcher

Metadome (formerly Adloid)

Machine Learning Engineer

NVIDIA

• Developed state-of-the-art Multilingual Text Classifier using mBERT implemented with PyTorch Lightning and Hydra configuration attaining ROC-AUC Score of 0.91.

• Accelerated model training by 40% using Multi-GPU Training with Mixed Precision and converted the deep learning models to ONNX and TensorRT format for inference.

Deep Learning Intern

Indian Institute of Technology, Kanpur

Guide: Prof. Mahendra Verma

• Performed extensive Data Visualization on Covid-19 cases and obtained state-wise patterns and insights.

• Studied various Machine Learning Techniques and Explored Time Series Forecasting algorithm FBProphet and used it to forecast the active cases.

Machine Learning Intern

Network Security Group BVDU Coe Pune

- I worked with the Technical Team of the Network Security Group and was an integral part of many competitions as well as workshops that were conducted during my tenure. 
- It gave me a good exposure of the new technical trends along with team work. Working with the team played an instrumental part in shaping my career goals.

Technical Member

Hi, I am Ishan a Passionate Machine Learning Engineer who can play a guitar!

Presently I am a Machine Learning Engineer II at the Generative AI team in Adobe.

Formerly I was a Deep Learning Researcher at Rephrase AI where I worked in Computer Vision.

I have recently stepped into making Open Source Contributions and am a member of the Lightning League by Lightning AI

Previously I was a Machine Learning Engineer at Metadome AI where we built a metaverse to provide immersive experiences for the virtual world.

Deep Learning excites me and in a route to explore greater depths I worked as a Deep Learning Intern at NVIDIA where I implemented Transformer architectures in PyTorch.

Additionally I have been a part of a Project at Indian Institute of Technology, Kanpur (IIT-K) as a Machine Learning Intern where I learnt and implemented Time Series Forecasting Models such as ARIMA and FBProphet on Covid-19 dataset.

I have done various projects on Data Analytics, Machine Learning and Deep Learning.

I have secured Global Top 30 Ranks in multiple Machine Learning Hackathons including a Kaggle Silver Medal. Presently I hold the rank of a 3-X Kaggle Expert and a Champion at MachineHack.

Based on my Machine Learning Hackathon Performance I have been offered the position of a Machine Learning Dev Expert at Weights and Biases. 

Here I am responsible for engineering high quality Machine Learning Notebooks for exciting Kaggle Competitions.

I graduated in 2022 from Bharati Vidyapeeth University in B.Tech Electronics Engineering.
__

TECHNICAL SKILLS:

Languages: C, C++, Python

Frameworks: PyTorch, PyTorch Lightning, FastAI, Tensorflow, Keras, Scikit-Learn, NLTK, DateTime, Pandas, Numpy, Matplotlib, Seaborn

DataBase: SQL

Tools: LaTeX

Deployment: Streamlit
__

Further I am a Public Speaker and have been a speaker at a number of Podcasts and Events. 

I have been into Public Speaking for 6 Years and have won 30+ State/National level Speaking Competitions.

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