Anjali Ladwa
@anjaliladwa
Machine Learning Engineer at Quantiphi
Bangalore, India
Anjali Ladwa is an experienced Machine Learning Engineer skilled in Deep Learning, Computer Vision, and NLP. She has practical experience implementing ML solutions using Google Cloud Platform services like Vertex AI and Kubeflow. Her expertise includes developing models for image classification and text summarization, achieving high accuracy rates in various projects.
Experience
Machine Learning Engineer
Quantiphi
Implemented the conversion of datasets to TFRecords, which significantly enhanced the performance of the image classification model, and used the TFData API to build input data pipelines. Applied the same strategy for class imbalance, raising the model's validation accuracy to 99.6%. Worked on Google Cloud Platform's services like Vertex AI AutoML, Workbench and pipelines (using Kubeflow in TensorFlow and Pytorch lighting) to deliver ML solutions.
Machine Learning Engineer- Intern
Quantiphi
Functioned on projects where data augmentation and weights handling techniques were developed, which increased model performance by about 12%. Developed a project, News summarizer using various NLP methods like Abstractive and Extractive summarization. Used Flask framework to deploy the model on the local host.
Python Engineer- Intern
Elite Techno Groups
Worked on Breast Cancer Detection Problem Statement, utilizing data wrangling techniques to ensure accurate and reliable data analysis. Employed Pandas to execute Extract-Transform-Load (ETL) processes, cleaning and transforming the dataset to make it more effective for developing an ML model. Successfully attained an accuracy rate of 92%.
Education
Acharya Institute of technology
BE
Siddaganga Independent PU College
Intermediate
Licenses & Certifications
Machine Learning Training Certification
Internshala
GCP- Associate Cloud Engineer
GCP- Professional Machine Learning Engineer