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    Amir Kavousian

    Amir Kavousian (He/Him)

    Hands-on engineering leader with over 12 years of experience delivering in SaaS, Enterprise Software, Cybersecurity, FinTech, Fraud Detection, Blockchain / Cryptocurrency, Real Estate, ML, DevOps.

    CTO San Francisco Stanford University '14
    amirkavousian.com
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    Experience
    Altitude Networks
    Altitude Networks
    CTO 2018 - 2022 (almost 4 years)
    - Co-founded Altitude Networks, world’s first cloud-native Data Loss Prevention (DLP) solution. Acquired by CoinList.
    - Hired and trained a team of 30 engineers, managers,... more & leaders, in a hybrid model in local & international locations.
    - Raised $14M funding from leading VCs, including Felicis Ventures, Accomplice, Slack Fund, and Rain Capital.
    - Worked directly with customers through sales, onboarding, and relationship management. Customers included MGM Studios, DNC, Amplitude, Astranis. Revenue bookings exceeded $1M.
    - Write the first iteration of the entire application backend, including Python codebase, API integration, data layer.
    - Developed an authentication and authorization workflow for logging in / out of the web app, including social login (Google, Microsoft), SAML (Okta), OpenID.
    - Developed an authorization service for granting API access, using AWS Cognito, Lambda.
    - Built a large-scale ingestion pipeline from scratch, using Python, MySQL, DynamoDB, S3, Redshift.
    - Wrote a client to post messages to Slack for internal monitoring purposes.
    - Deployed and published a Slack App for external users, on Slack Marketplace.
    - Published the web application on Google Marketplace, worked with Google through the review and verification process.
    - Developed Alembic and SQLAlchemy codebase to manage SQL database schemas and interactions via Python.
    - Built a fully automated deployment pipeline via Github Actions, Terraform, AWS Step Functions.
    - Wrote a service to send daily automated emails to customers with a summary of the app insights and key actions.
    Capital One
    Capital One
    Manager, Data Science 2018 (about 1 month)
    - Led the execution and delivery of a cloud-native credit card fraud detection system.

    - Grew the team of data scientists and engineers from 5 to 10.

    - Saved... more the company $50M/year by reducing operational workload by 30% with an ML model for fraud detection.

    - Reduced the deployment cycle from 6+ months to less than 1 day by implementing a modern CICD pipeline.

    - Wrote an ML application (Random Forests) to identify fraudulent credit card applications, the first fully serverless application in Capital One’s history.

    - Developed CloudFormation codebase to deploy application infrastructure (Lambda, S3, ECS, RDS, SQS) into AWS.

    - Wrote an application to provide actionable insights for A/B testing (sample size, when to stop the experiment, etc.).

    - Built a deep learning model based on TensorFlow for digital marketing and product targeting purposes.

    - Developed a speech recognition and sentiment analysis tool to automatically rate customer calls, using NLP modules in Python.

    - Developed a POC for a text suggestion application using LSTM.
    Founder
     
    Employee
    Capital One, Altitude Networks
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Education
     
    About
    Achievements

    Hands-on engineering leader with over 12 years of experience delivering projects in SaaS, Enterprise Software, Cybersecurity, FinTech, Fraud Detection, Web3, DevSecOps, Machine Learning, Energy, Clean Tech, Real Estate, and Construction. Extensive production expertise in Python, SQL, DynamoDB, API Gateway, Lambda, ECS Fargate, SQS, Terraform, CloudFormation, GCP, Serverless, Go, React, TypeScript, SOC2 Type 2.

    Describe the most impressive thing you've done.
    Skills
    CTO Entrepreneurship Security Management Fraud Analytics Strategy Operations Marketing Publications Services Algorithms Engineering Python Machine Learning Data Science Python Machine Learning SQL AWS Serverless Leadership TypeScript React.js PostgreSQL
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