Akshay Kumar Email & Phone Number

Atlanta, Georgia, Us

Atlanta, Georgia, Us

Atlanta, Georgia, Us

Atlanta, Georgia, Us

* Participate in the technical effort by delivering NLP, Computer Vision, and Time-series implementations, producing clean and scalable code with Deep Learning, Object Detection, and BigQuery. * Leveraged various transformer models such as Roberta, XLNet, DistilBERT, and ALBERT for text classification.* Collaborate within a multidisciplinary team, including Store Inventory Management, Retail Demand Forecasting, and Data Engineering teams, maintaining close communication and asking calibrated questions to remove bottlenecks and reach alignment.* Gather technical requirements by extracting architectural significance and solution designs leveraging the most appropriate technology stack.* Deliver technical presentations to the team on new designs, features, and development plans. Maintained a high engagement in meetings, asking calibrated questions to reach alignment and optimize for delivery.* Maintain close communication with team members about current builds and coordinate efforts toward maintaining and updating code.* Keep up-to-date knowledge of AI & Machine Learning technologies and best practices, and monitor industry & competitive trends.Key Achievements:* Designed and implemented a Deep Learning Inventory Management application capable of reducing product misplacement and lost items.* Delivered an application capable of identifying lookalike images, leveraging Deep Learning and locality-sensitive hashing to identify customers most likely to click on an Ad.* Completed a Time Series project using Greykite and Neural Prophet to predict future demand and sales of Home Depot store items, using historical data and related information.* Improved character recognition from images in the OCR pipeline by 20%, leveraging various image enhancement techniques.

Austin, Texas, Us

* Contributed to the software development lifecycle by designing, implementing, testing, and maintaining tools, infrastructure, and Machine Learning models, delivering Continuous Improvement for optimal efficiency, productivity, and quality. * Developed scalable applications to be used by large-scale data processing and distributed systems.* Engineered new features for Data Science platforms in various classical and Deep Learning frameworks.* Applied Multi-Class Text Classification Models with RNN and LSTM, leveraging customer data to understand pain points and improve products. * Led customers and ISVs to troubleshoot data science solutions in data wrangling, data access, and training models and helped to put them into production. * Liaised with cross-functional teams, including OCI Compute, Database, and Networking teams. * Reached an understanding of various points of view and priorities and communicated effectively to drive progress within aggressive time constraints.* Wrote and maintained clean code, comments, and documentation to ensure optimal legibility and productivity.* Proactively sought performance improvement opportunities with a well-defined profiling approach to isolate and clear bottlenecks.Key Achievements:* Received the Oracle Best Employee Award for the year 2020 among a team of 42 people. Awarded the title of Oracle Software Innovator for completing Web server logs extraction & Insights project in October 2018.* Created a data pipeline and performed ETL operations by integrating PySpark with Apache Kafka and AWS Redshift.* Built recommender systems using a wide variety of Market Basket analysis with the implementation of various rules, Content-Based filtering algorithms, further utilizing different Model-Based and Memory-based collaborative filtering techniques. * Developed an application to retrieve virtual machine information and log data during outages to minimize downtime. As a result, saved $27m.

Master Of Science - Ms, Artificial Intelligence

Bachelor Of Engineering (Be), Computer Science