Skip to content
View Jithsaavvy's full-sized avatar
18 followers · 11 following

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Block or report Jithsaavvy

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Jithsaavvy/README.md

Hi 👋, I'm Jithin Sasikumar from Germany

Master's student in Autonomous Systems [ML/DL] & developer. Experienced in deep learning, speech technologies, NLP and MLOps.

jithsaavvy

  • 🔭 I am really passionate about programming, Machine Learning, Deep Learning, ASR, NLP and software development.

  • 🔭 I’m currently working on MLOps, Deep learning, Automatic Speech Recognition and Language modeling.

  • 🔭 I'm always keen on amalgamating research, development, and deployment (obsessed with deploying models into production).

  • 👨‍💻 All of my projects are available @ https://github.com/Jithsaavvy?tab=repositories

  • 📫 Reach me @ [email protected]

  • 📄 Know about my experiences @ https://www.linkedin.com/in/jithin-sasikumar/

Interests:

ASR | MLOps | NLP | Automated CI/CD for end-to-end ML Pipelines | Conversational AI | Deep Neural Networks (RNN, LSTM, CNN, End to End models, Attention models, Acoustic models) | Federated Learning

Skills:

  • Languages: Python | Groovy | Java (Intermediate) | HTML | CSS | YAML | C++ | SQL
  • ML/DL Frameworks: Tensorflow | Tensorflow Serving | Tensorflow Federated | Keras | Scikit-learn | Pytorch (Intermediate)
  • Cloud Technologies: AWS (Amazon S3, Amazon SageMaker, Amazon ECR, Amazon EC2) | Heroku
  • Container Orchestration: Kubernetes
  • Data Warehouse: Snowflake
  • Tools: Docker | MLflow | Poetry | Flask | Hydra | JFrog | Pytest | Jupyter Notebooks
  • CI/CD Tools & Version Control: Git | GitHub | GitHub Actions | GitLab | GitLab CI/CD
  • Workflow Orchestration: Apache Airflow
  • Build Automation: Gradle
  • Operating Systems: Linux | Windows

Connect with me:

jithin-sasikumar

Pinned Loading

  1. Sentiment-analysis-from-MLOps-paradigm Sentiment-analysis-from-MLOps-paradigm Public

    This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transition…

    Python 11 4

  2. Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline Deploying-an-end-to-end-keyword-spotting-model-into-cloud-server-by-integrating-CI-CD-pipeline Public

    The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building mode…

    PureBasic 14 6

  3. Serving-federated-trained-models-using-tensorflow-serving-and-docker Serving-federated-trained-models-using-tensorflow-serving-and-docker Public

    This project is an amalgamation of research (federated training and comparison with normal training), development (data preprocessing, model training etc.) and deployment (model serving). It create…

    Python 3

  4. Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project Public

    This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a…

    Jupyter Notebook 24 5

  5. Expandable-image-classification-system-using-Places365-Convnet-and-One-vs-All-Classifier- Expandable-image-classification-system-using-Places365-Convnet-and-One-vs-All-Classifier- Public

    This research mini-project trains an expandable image classification system for place categorization which solves the closet-set limitation of convnets. The state-of-the-art Places365 convnet is tr…

    Python 1

  6. iBot---A-Conversational-and-Interactive-AI-Bot__Bachelor-Thesis__ iBot---A-Conversational-and-Interactive-AI-Bot__Bachelor-Thesis__ Public

    I developed "Intelligent Bot [iBot]" which is a programmed application that performs an automated task in a conversational format using supervised learning [ML Paradigm] and Natural Language Proces…

    C# 1