Transformer Signal Studio
41% faster experiment loopsA multimodal research playground for retrieval, prompt testing, and benchmark tracing across long-context transformer pipelines.
Tech stack
kriti bhardwaj / AI-ML Engineer
Working with data and machine learning fundamentals. Focused on understanding patterns, building models, and solving problems through hands-on practice.
About me
About
Started with Python and gradually moved into data analysis, visualization, and machine learning fundamentals. Built a clear understanding of how data is processed, cleaned, and transformed before applying models.
Worked with tools like Pandas and NumPy for data handling, and used visualization techniques to better understand patterns and trends. Learned core machine learning concepts including feature engineering, data preprocessing, and basic model building.
Continuously practicing with different datasets to strengthen understanding and improve decision-making with data. Focused on writing clean code, understanding the logic behind algorithms, and building a solid foundation for more advanced work.
Projects
A multimodal research playground for retrieval, prompt testing, and benchmark tracing across long-context transformer pipelines.
Tech stack
A computer vision workflow for defect detection and explainable heatmaps with human-in-the-loop review for edge cases.
Tech stack
A deployment and observability layer that tracks model drift, orchestrates retraining, and keeps inference latency visible.
Tech stack
Tech stack
Selected node
Machine Learning
Model building, preprocessing, feature engineering, and learning the fundamentals with clarity.
Data Analysis
Cleaning data, finding patterns, and using visual exploration to support better decisions.
Developer Tools
Daily tools used for practice, experimentation, version control, and a clean workflow.
Contact
Open to collaborations, projects, and meaningful ideas.