About

Akhil Kumar A. is a Senior Staff Data Scientist at Hypersonix with over 8 years of relevant experience in the finance and retail industries. He has a strong background in machine learning engineering, software engineering, and cross-functional team management. Akhil is passionate about building reliable and scalable modules to make intelligent decisions and provide industry-specific solutions. In his current role at Hypersonix, Akhil is responsible for developing and implementing data-driven solutions to solve complex business problems. He leverages his expertise in data science, deep learning, computer vision, NLP, and information retrieval to build models that improve decision-making processes. Akhil is also actively looking for passionate data scientists and software engineers to join his team. Prior to Hypersonix, Akhil worked as a Deep Learning Engineer at Icecream Labs, where he built multimodal neural information retrieval systems using siamese networks and embeddings from language models. He also designed minimal viable product delivery for over 12 projects in deep learning. At Kabbage, Inc, Akhil served as a Senior Data Scientist, leading a team of 5 across multiple divisions. He developed a seasonal credit line campaign by leveraging macro-economic factors and worked on decrypting bank transactions to estimate customer revenue, identify suspicious patterns, and reduce risk and fraud rates. Akhil holds a Bachelor of Technology degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Bombay. He is proficient in Python, Pytorch, MySQL, MongoDB, Flask, XGBoost, OpenCV, Spark, Scikit, Tensorflow, Pandas, Elastic Search, and Apache Hive. Akhil is a skilled researcher and has experience in object detection, CNN, RNN, and language models. Overall, Akhil is a talented and experienced data scientist with a proven track record of delivering impactful solutions. He is passionate about using his skills and expertise to help organizations make data-driven decisions and drive business growth.