About

Radhika Nikam is a highly skilled Software Engineer with 3 years of experience in Software Development, Machine Learning engineering, and research. She holds a Master's degree in Computer Science from NYU Courant and a Bachelor's degree in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani. As a Graduate Research Assistant at the RiskEcon Lab@NYU Courant, Radhika worked on Computer Vision, using zero-shot learning to detect and classify wildlife species. She built a wildlife detection and classification pipeline for camera trap images, incorporating zero-shot learning (ZSL) for wildlife species. She obtained a top-20 accuracy of 9.8% on test data with 20x more classes than the training data (SOTA on ImageNet reaches 11.7%). She used CNNs, GCNs, PyTorch, and Tensorflow for this project. Radhika has also worked as a Research Assistant at the National University of Singapore under Prof. Min-Yen Kan and Prof. Joseph Jay Williams, working on Natural Language Processing (NLP) and Reinforcement Learning using Multi-Armed Bandits. Radhika is highly skilled in programming languages such as Python, C/C++, SQL, Matlab, Scala, JavaScript, LaTeX, HTML, and CSS. She is also proficient in Machine Learning tools like PyTorch, Keras, Tensorflow, scikit-learn, OpenCV, NLTK, spaCy, and pandas. She has experience working with technologies like Docker, Kubernetes, GCP, AWS, Unix/Linux, MySQL, Spark, Django, Tableau, and Git. Currently, Radhika is working as a Software Engineer at WePay. She has previously worked as a Research Engineer at Numerati® Partners LLC. She has presented her work as a panelist and poster at the Jan 2020 InsurTech Alliance Expo co-hosted by Numerati® Partners. Overall, Radhika has 3.95 years of relevant experience in the field of Software Engineering and Research. She is a highly skilled professional with a strong passion for Machine Learning, Computer Vision, and Natural Language Processing.