Krishna Purohit Email & Phone Number

Washington Dc

Fairfax, Virginia, United States

- Conceived and designed a secure software architecture for "Legitima" to combat counterfeiting through serialized tokenization using Django, HTML/CSS, JavaScript, Python, PostgreSQL- Implemented a multi-layered cyber defense system to generate unique hashed tokens for products, acting as digital passports accessible via IP-holder and cyber defense agency websites- Incorporated token lifecycle tracking, product authentication, and manufacturer information within the digital product passport to increase counterfeiting difficulty- Deployed the application on AWS EC2 instance using an AWS RDS database, with data encryption at rest and in transit via nginx and gunicorn.- Crafted a model of colloboration for intellectual property holders and cyber defense agencies for an official public-private partnership model to manage token distribution and verification

Fairfax, Virginia, United States

• Designed and taught a 1-credit course, CS395, on Full-Stack Web Development offered to CS students.• Developed and graded programming assignments, projects, and quizzes teaching students key skills in creating dynamic, responsive web applications.• Introduced students to fundamental web development technologies and concepts, such as HTML5, CSS3,JavaScript, Python, Node.js, Django, SQL, SQLite, etc.

• Reduced cloud costs across multiple tenants by an average of 22% monthly by implementing aws-nuke onoutdated sandboxes, optimizing resource utilization, and decommissioning unused tenants.• Authored automated scripts using Bash to streamline cloud operations and maintenance tasks.• Updated and maintained SonarQube and Concourse tools to ensure code quality, security, and continuousintegration and delivery while documenting processes and outcomes to stakeholders using Git, Jira, and Confluence• Cooperated with senior developers to migrate legacy on-premises systems to AWS cloud platform using various services and tools.• Designed custom AWS Config Rules with Lambda functions in Python to auto-remediate non-compliantresources using infrastructure as code (IaC) using CloudFormation.

Fairfax, Virginia, United States

• Implemented Segment Anything (SAM) AI model to detect and map off-shore wind farms using Azure cloud computing resources and Juypter Notebooks.• Employed Microsoft’s Planetary Computer API to input and train AI with real-time satellite data fromSentinel-1 using Azure blob storage.• Delivered final results to a panel of industry leaders from Microsoft and NASA while working towards contributing to Microsoft’s Global Renewables Dataset