Chris S. Email & Phone Number

Arlington, Ma, Us

Washington, District Of Columbia, Us

Arlington, Massachusetts, Us

Founding Maker Consulting has allowed me to focus on the most fulfilling aspects of my career - strategy and mentorship - so that I can truly see my impact.- Presented to startup clients to direct their data analytics and machine learning infrastructure roadmaps reducing wasted effort and improving time to value.

Bedford, Massachusetts, Us

In the past few years, I have undertaken serious exploration of image registration which transitioned into building a spatial data pipeline that we use to deliver our first personalized recommendations to customers. I am now officially the “inventor” I always wanted to be as a kid. Now I train and mentor others in my company in spatial analytics and manage a team of contractors and interns to continue building a reliable and scalable data science platform which provides value from a product’s inception to its release.- Led construction of an MLOps platform to train and deploy ML models and to track experiments and data using SageMaker, StepFunctions, and Docker containers.- Influenced roadmap and decision making for DevOps efforts to streamline incident response with PagerDuty, optimize CI/CD in CodePipeline, and enable vulnerability scanning in ECS.- Documented architectures, tutorials, operations guides, onboarding guides, conventions, and best practices- Triaged and debugged complex issues in distributed production systems based on metrics, logs, and data

Bedford, Massachusetts, Us

Within just a few months at iRobot, I am confident in my skills in building cloud-native software and data pipelines. Together, with my team, we are pushing the boundaries of Amazon Web Services to deliver the best experience on the market for our customers. This experience means protecting user's privacy and cleaner homes. The iRobot team has connected me with fantastic minds to help me advance my career in AI. Today, I work with AWS tools like Athena, Glue, EMR, and a host of others to provide a platform for our data scientists and the rest of the organization including researchers in deep learning and reinforcement learning.- Designed and developed the foundational infrastructure to analyze robotic mapping behavior with - Python, Postgres, Lambda, Kinesis, Spark, Athena, and Mode Analytics.- Modeled complex, unstructured and semi-structured spatial data to enable ingestion and analysis of billions of robot maps and multiple customer-facing features.- Implemented a petabyte-scale spatial data lake using S3, Glue, Parquet, and Iceberg.- Orchestrated designers, mobile developers, and roboticists. Successfully drove a major feature product to market, leading to reorganization of the company modeling our initiative.- Developed ingestion pipelines capable of optimizing 8PB+ raw data (S3/NoSQL/Dynamo) by over 1000%- Built near-real time streaming pipelines capable of handling up to 200MB/s or 16TB/day using Kinesis, Firehose, and Spark Streaming (Glue Streaming)- Cataloged tables in Glue Data Catalog containing over 1000 Tables enabling discovery (Stemma), quality (Monte Carlo), and security (LakeFormation)- Supported analytics activities for over 300 employees scanning 100PB/mo at $0.64 median lifetime cost per dashboard over tens of thousands of dashboards- Analyzed nearly 20M users worth of data generated by IOT devices and mobile and eCommerce activity

Mclean, Va, Us

After one year with Booz Allen, I am proud to have grown and been able to mentor others. I have helped shape the infrastructure and software practices with our clients. Today, we are striving toward advanced analytics and machine learning by building the big data infrastructure for the future.- Reported cost comparison analysis of migration to AWS with a focus on big data- Delivered presentations about architecture and best practices to senior leaders- Directed technology decisions for a team of 40+ engineers, testers, and analysts

Mclean, Va, Us

Joining Booz Allen has given me a chance to use my BPM skills and deeply ingrained DevOps mentality to optimize critical operations for our nation's health. Drawing from personal history motivates me even further on these projects and gives me extra meaning.- Modernized on-premise infrastructure with Docker in a highly restrictive environment- Advised senior technical leaders adoption of service oriented architecture using Docker and Java Spring Boot- Enforced code quality and safe release practices with CICD techniques and tools

Even in a short time at Excella, I learned much about public sector consulting. Exposure to Salesforce taught me so much about case management which supplemented my BPM skills. Working at Excella helped prompt me to pursue my biggest tech dreams, working with AI.

Raleigh, Nc, Us

Red Hat taught me so much about software development, consulting, and leadership. I learned the importance of automated software testing, administered and automated a testbed with hundreds of VMs, worked with batch ETL jobs, and automated business processes and transactions. I worked with health care companies, major financial institutions, and engineering firms in Positive Train Control. I used Python, C++, Ruby, and Java and major frameworks from each. So grateful for my experience at Red Hat!- Upgraded critical software at a major financial firm to secure license and services revenue- Presented solutions architectures to non-technical senior business leaders and developer teams- Coached 8+ junior teammates on messaging and ETL architectures, testing, and automation- Developed tests and features with Spring, Java, jBPM, C++, Cucumber, Ruby, and Red Hat Enterprise Linux