Sanket K.

We want to make Privacy policies and Terms & Conditions for digital products accessible and easily comprehensible to the public. Data is the currency for a majority of e-commerce, we wish to play a pivotal role in data literacy - getting people to understand their data exposure and take charge of their digital footprint. Technical Stack: AWS Bedrock, AWS Lambda, Apache Kafka, Opensearch, DynamoDb, MySQL, Springboot, Dart & Flutter.

Team Lead. Building 12 factor compliant ML Applications at scale.

Technical Lead for AI Link - ML application suite web service for automobile manufacturing plants (Jaguar, LandRover) Java (AWS IOT SDK, Mqtt, Iot Core, Sagemaker) Responsible for developing AI Delivery platform for SBD Digital Accelerator. Developed end-end AI Insights delivery platform comprising of REST API, CRUD DB Storage, Kafka Messaging, Protobuf library and Apache Storm topologies. Java, Springboot, MapReduce. All components hosted on AWS with auto scaling and high availability.

Developed a simulator for the Mars Science Laboratory - Curiosity with technical help from NASA Jet Propulsion Laboratory. A multi-threaded Java application complete with its own kernel and sensor simulators. Achieved high fidelity with actual Mars Rover for High Gain Antenna, Apxs Spectrometer, DAN Sensor, REMS weather sensor, 6 on board cameras, spacecraft clock and position sensor. Actively seeking code reviews and code contributions. NASA provides the SPICE toolkit used to compute space mission geometry and helps sync the space craft clock time for all the sensors onboard. http://github.com/mo3pheus/MarsRover.git

Part of Sears search team tasked with improving Search Engine relevance using Machine Learning. Develop ML solutions for Apache Lucene based search platform Solr.

Responsible for analyzing user fitness and device data for Garmin Connect users to make activity predictions and/or provide timely notifications to help users meet their fitness goals. Garmin Connect deals with massive data accumulation every day and the analytics team is focused on analyzing this data in order to further device usability.

Worked on Garmins next gen avionics suite G2000. Developed several features through 4 major software release cycles. Intimately involved through out the software development process from contributing to the System Description Document to helping answer customer problem reports. Example features include Standby Flight plan, UI Vertical Nav, Temperature Compensation, Upgrading nav utilities for Polar Navigation.

Predictive Model Software, Data Mining Successfully supervised development of three software projects dealing with Data Mining and Statistical Machine Learning. Successfully managed requirements collection, software design, resource management, predicting timelines and project schedules, infrastructure setup, testing and deployment.Developed in COLD FUSION/JAVA, SQL. Deployed on Tomcat web server.

Intimately involved in identifying real time production issues to figure out and implement practical solutions without compromising on design principles. Received appreciation for fast insightful diagnosis and resolution.

Bachelors in Computer Engineering