ML/AI architecture and cloud operations. Large scale data aggregation and analysis of social activities, conversations, connections, and general online behavioral patterns, leveraging AWS’s RedShift data lake. ● Built data aggregation ETL pipelines from LinkedIn, Facebook, and Twitter. ● Worked closely with ML engineers and data analysts to wrap their work into cloud services. ● Influenced core architecture for the mobile app.

1 year contract for a “market and credit risk analysis” startup. Worked with the founder, financial analysts, and development to move the proprietary desktop application into the cloud. ● Managed development to rewrite Risk Analysis algorithms implemented in C# into Python and C. Used Pandas, NumPy, SQLAlchemy. ● Translated desktop application screens to wireframes and managed the client facing application build. ● Utilized containerization package client facing apps and backend services. ● Setup ETL pipelines for data collection, preprocessing and enrichment. Used AWS Step Functions, AirFlow for job management and orchestration. ● Used CloudFormation, Terraform, CircleCI, custom Python scripts for CI/CD.

Design and implement custom cloud solutions while working closely with product managers and engineers. Setup automated build & deploy pipelines for client facing applications. Data aggregation pipeline design and implementation. Use AWS for all cloud deployments. ● Use AWS Elastic Kubernetes Service, Docker Swarm for cloud services orchestration. ● Secure AWS cloud environments with VPC & Flow Logs, Security Groups, EC2 Key Pairs, IAM Roles, CloudTrail, encrypted EBS volumes. ● Adopt Docker to package applications and worker scripts. ● Use AWS ECS Fargate to run any number of worker processes for data aggregation and processing jobs. ● Use Ansible, CloudFormation, Terraform, GitLab to automate cloud provisioning.

System architecture, database design, automated cloud deployment to the cloud. Development of data migration tools, and large scale analysis of US College and High School student data. ● Used AWS S3 for static object storage, RDS PostgreSQL as the primary database. ● Developed a note taking web tool used by 10M high school and college students in the US. Used CouchDB document storage as the primary database. Used AWS and Cloudant for services.

Contractor for Fashion and Pharmaceutical companies. Cloud architecture, automation, cloud security, networking. Web application development. ● Use SalesForce to design and build custom CRM solutions. ● Help clients architect and implement custom solutions on AWS and GCP. ● Use React/Angular to build client facing web applications. ● CloudFormation to version control infrastructure as code and provisioning. ● Docker for code packaging, Kubernetes for orchestration. ● Heavily utilize AWS for service deployment, and GCP for data analysis, and AI tools.

Forex/trading platform development. Financial data pipes architecture and automated application deployment, data backup, and data recovery procedures.

System includes company data aggregation, financial analysis, “high level” Machine Learning modeling of financial investment risk management, and a custom built web based UI for easy browsing and communication with other team members.

ASP, VB.NET, C#, MSSQL.

Data piping and ETL tool development for aggregation and analysis. Demandware integrations with internal and external systems. Custom ecommerce solutions.