Introduction

kriti bhardwaj / AI-ML Engineer

kriti bhardwaj.

Working with data and machine learning fundamentals. Focused on understanding patterns, building models, and solving problems through hands-on practice.

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About me

Analytical structure with a creative bias.

About

Understanding data, building with intent.

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

Selected projects built through practice and experimentation.

3 selected projects
Project

Transformer Signal Studio

41% faster experiment loops

A multimodal research playground for retrieval, prompt testing, and benchmark tracing across long-context transformer pipelines.

Tech stack

PythonTransformersVector SearchFastAPI
Project

Vision QA Observatory

92% placeholder precision

A computer vision workflow for defect detection and explainable heatmaps with human-in-the-loop review for edge cases.

Tech stack

PyTorchOpenCVGrad-CAMWeights & Biases
Project

MLOps Pulse Grid

28% lower incident response time

A deployment and observability layer that tracks model drift, orchestrates retraining, and keeps inference latency visible.

Tech stack

DockerGitHub ActionsMLflowPrometheus

Tech stack

Tools and technologies I use while learning and building.

Selected node

Python
86%

Machine Learning

Model building, preprocessing, feature engineering, and learning the fundamentals with clarity.

Active
Pythonscikit-learnNumPyModel BuildingPreprocessing

Data Analysis

Cleaning data, finding patterns, and using visual exploration to support better decisions.

Active
PandasMatplotlibSeabornData VisualisationPattern Analysis

Developer Tools

Daily tools used for practice, experimentation, version control, and a clean workflow.

Active
GitGitHubVS CodeClaude CodeJupyter

Contact

Let’s build something intelligent and visually exact.

Open to collaborations, projects, and meaningful ideas.

Client and route validation are both active.