About

Medhaja H L is a highly skilled Software Engineer with a specialization in Machine Learning and MLOps. With a Bachelor's degree in Computer Science and Engineering and a minor specialization in Big Data and Machine Learning, Medhaja is passionate about connecting cutting-edge research to real-world applications. She is experienced in developing and deploying various ML models based on CNN, LSTM, Auto Encoders, YOLO, Transfer Learning, and Differential Privacy. Medhaja has worked with a range of tools and frameworks, including Scikit-Learn, Numpy, Pandas, Keras, openCV, AWSSageMaker, Flask, Tensorflow, PyTorch, and Postman. She is skilled in Python and SQL, Agile software development, and Jira. Currently working as an Analyst at exl, Medhaja has created an NLP QA model as a tool for Model Validation, which reduced the turnaround time by a factor of 25x. She has also created a comprehensive financial model for forecasting P&L, Revenue, Expenses, and more. Previously, Medhaja worked as a Software Engineer, Machine Learning at Harman, where she utilized python to implement unsupervised machine learning techniques for time series anomaly detection on TeraBytes of unstructured data, which reduced total process time by 90%. She also worked on end-to-end implementation of Anomaly Detection using Deep Generative models (Generative adversarial network, LSTM based Auto Encoder) for real-time data (Semi-supervised Technique). As a Machine Learning Engineer Intern at Visint Health Care, Medhaja utilized computer vision techniques to locate blood vessels and classify them in relation to other elements in a patient's retinal image. She also created datasets for image classification and diabetic retinopathy prediction using TensorFlow and developed a graphical user interface (GUI) to make the software more accessible. Medhaja's technical expertise includes ML, Software Engineering, Python, Keras, Deep Learning, SQL, Data Science, Research Science, Tensorflow, Scikit, NLP, OpenCV, AWS, CNN, Big Data, Pandas, Flask, Pytorch, Adversarial Networks, Computer Vision, SVM, AI, Docker, Javascript, Neural Networks, Search, GCP, Mobile, and Web. Medhaja is open to full-time roles as a Software Engineer, Software Developer, Machine Learning Engineer, Quantitative Developer, Data Scientist, MLOps Engineer, and