About

Ankit Yadav is a highly skilled Research Engineer, ML Consultant, and Data Scientist with over 8 years of experience in the field. He is proficient in software development and has extensive knowledge of AI, particularly in Deep Learning, Time Series, Abnormal Detection, NLP, Vision, Clustering, Forecasting, and Optimization using tools like TensorFlow, Pytorch, sklearn, and pandas. Ankit has experience in Distributed Learning with large scale, low latency, high availability, and high resiliency. He is familiar with Microsoft Azure, AWS, and open-source tools. Ankit has a strong background in AI, Cloud, Data Center, and Wireless Network, and he is currently working on Deep Learning Research in NLP, Self-Supervised Learning & RL. He builds and maintains internal data science/AI tools, data pipelines, and applications. Ankit has worked on various technologies, including DL/ML/RL using TensorFlow, Keras, PyTorch, Theano, H2O, Dopamine, Edward, Horovod, Tensorpack, Open MPI, CUDA, KubeFlow, AirFlow, Metaflow, and Python - Adanet, TPOT, SHAP, Swagger, Flask, and Numpy. He also has experience in databases like MySQL and MongoDB, deployment tools like EC2, AWS, Docker, GCP, servers like Apache Kafka, Kubernetes, and tools like Jupyter, Zeppelin, and microservices. Ankit has taken up various roles, including Research Engineer, Lead Data Scientist, and Problem Solver. He has worked on NLP subdomains of Semantic text similarity, Question Answering, Text Classification & Machine Translation, Named Entity Recognition & Text Summarization, and Vision: Semantic Segmentation, Instance Segmentation, Object Detection & Tracking, Image & Video Classification. As a Lead Data Scientist, he has processed large unstructured datasets and designed large scale AI production pipelines, designed Real-Time End-to-End Machine Learning pipelines for Insurance & Life Science use cases, managed Deep Learning experiments for efficient use of resources, and optimized processes. As a Problem Solver, Ankit has worked on a varying list of ever-changing Data engineering needs and contributed to open-source tools. Ankit has worked with logically as a Senior Data Scientist and with Saama as a Senior Data Scientist, where he worked on Life Science/Clinical Trial Processes, P&C Insurance, Straight Through Processing, Assign Primary Adjuster, Claim Segmentation, Predict Sub