Avik Basu Email & Phone Number

Sunnyvale, Ca, Us

Mountain View, California, Us

- Leading and developing open source AIOps platform to perform progressive delivery and automated rollbacks- Develop models for multivariate time series anomaly detection

Mountain View, California, Us

• Create and build Deep Learning models on massive Operational Time Series data• Detect anomalies quickly and efficiently to reduce the MTTD during an outage• Improve developer experience by performing causal analysis on operational incidents

Santa Clara, California, Us

• Enhance and upgrade the existing autonomous information block module to incorporate a reinforcement learning based resolution strategy, where each block tries to adapt to each franchise’s needs• Improved the inference ability of the Order and Order Product information blocks using a softmax regression model to better narrow down to the right order and product given the limited information provided by the shopper

Santa Clara, California, Us

• Designed, captured and optimized state transition graphs to analyze shopper’s conversational flow paths in order to improve dialog management and decision making• Designed and developed product knowledge graphs (in neo4j) comprising of each franchise’s product catalog and features• Spearheaded and implemented the consultative buying platform for Linc, enabling shoppers to find and select their right choice of products• Headed and implemented an autonomous information block module consisting of several blocks, each of which having the ability to understand, infer and survey information

Seattle, Wa, Us

• Created and designed APIs for seller services payment platform using micro-services architecture on the AWS stack• Enhance the existing anomaly detection system to identify Fraudulent third party sellers• Selected and volunteered as a Teaching Assistant in the Amazon's internal Machine Learning University

Chicago, Illinois, Us

• Processed and enhanced raw 3D vehicle models and their annotations data in order to train and validate them.• Created methods and visualizations for vehicle landmark alignment and damage detection analysis.• Modified QA methods for correctly detecting errors and inconsistencies in the machine learning workflow.• Optimized the way the trained data was stored in the system using an HDF5 approach. • Enhanced the Machine Learning pipeline to make the learning system more robust.

Los Angeles, Ca, Us

• Developed a system to detect trends in economics of innovation over time using Topic Modelling analysis and Machine Learning. • Collected and analyzed massive datasets (using USC High-Performance Computing Cluster) of academic research documents based on their content in order to reveal changes in their underlying structures over time

• Created scripts to unify different types of data from Kinect to a single Point Cloud• Researched and developed methods for transforming point cloud orientation of complex 3D objects• Implemented and added custom PCL methods and functions for greater optimization and efficiency

San Francisco, California, Us

• Created robust machine learning models for tagging and classifying micro-level images, involving advanced feature engineering and computer vision techniques.• Developed a data architecture pipeline on AWS encapsulating the core learning algorithms.• Set up a REST-ful API with Oauth2 authentication, deployed on AWS Elastic Beanstalk server with RDS MySQL backend and S3 storage

Mumbai, Maharashtra, In

• Enhanced a Rule-Based Machine Translation system that was aimed at translating law documents from English to Hindi with high accuracy. • Worked on statistical phrase based post-editing, parts of speech tagging, post-edit capture, and data visualization.

Master Of Science (M.S.), Computer Science

Bachelor Of Technology (B.Tech.), Computer Science And Engineering

Higher Secondary School, Science