Mike Laderman Email & Phone Number

Cambridge, Massachusetts, US

Building the platform that Security Engineers & Analysts use to automatically detect and mitigate bad actors from abusing HubSpot's Product. Use cases include detecting bot/impersonator signups, email spam/phish, payments fraud, and much more!

Cambridge, Massachusetts, US

Technical Lead of the Reporting as a Service Backend (RaaS), an internal product platform team in the Reporting Group.Our team built and owned a Reporting API that powered custom reporting experiences for thousands of customers, as well as dozens of handcrafted reporting experiences owned by application teams at HubSpot. Our work let teams deliver a.

Cambridge, Massachusetts, US

• Overhauled HubSpot's API rate limiting system to do global rate limiting by product tier across 100+ microservices for its entire ecosystem of integrators

Cambridge, Massachusetts, US

• Developer Experience Backend TeamThe DevEx Backend team's mission is to provide external developers with the tools they need for a first-class experience building on top of HubSpot's platform, as well as tools for our.
• Improved Webhook Subscription daily delivery rate from <75% to over 98%, mainly through improving our retry algorithm, and better identifying when a customer's downstream service is impaired.
• Built an External API Call Metrics pipeline to provide critical business insights into how external developers use HubSpot's APIs. Parses multiple TB of logs daily to identify external calls. Utilizes Kafka and Amazon.
• Active contributor providing feedback on HubSpot's API style guide, which helps HubSpot's dev teams standardize their public APIs in order to give a consistent experience to consumers of HubSpot's APIs.Salesforce.
• Overhauled cron based polling infrastructure that detects changes in Salesforce objects to be a much more scalable distributed and threaded polling implementation. Greatly reduced average time to detect changes in.
• Built out Multiple Pipeline sync, which enabled Salesforce customers to seamlessly map their complex Business Processes 1:1 to HubSpot's Pipelines while still successfully syncing Salesforce Opportunities to HubSpot.

Boston, Massachusetts, US

• Created robust integration and unit test runners as part of our CI system for services written in both Python and NodeJS. Trained team on integration and unit testing best practices.
• Built lightweight data warehouse to improve reporting speed, quality, and flexibility for reporting used by internal stake holders and Fortune 500 customers.Key Technologies:Python, Flask, NodeJS, Express, PostgreSQL.

Boston, Massachusetts, US

• Led team of senior engineers to design and build a scalable social network data ingestion and analysis tool that to date has analyzed hundreds of gigabytes of social content. Built in Python using Kafka and PostgreSQL.
• Wrote Python library, Gregor, that standardized usage of Kafka across multiple services by implementing a set of Producer and Consumer mix-ins with Avro support. Vastly improved development speed and quality.
• Implemented web event tracking and analytics capabilities using Snowplow and Redshift. Provided product team with insights into product usage that were used to prioritize development and optimize key funnelsKey.

Cambridge, Massachusetts, US

• My engineering responsibilities were mainly split between two areas at CustomMade: analytics infrastructure/research and web development.A few highlights:
• Overhauled legacy messaging system into a scalable and modern gmail-esque inbox and project management tool for thousands of makers. Heavily utilized Elasticsearch.
• Engineered company's initial data warehouse infrastructure that tracked and stored millions of web events in MongoDB.
• Founding member of an internal innovation team that holds weekly meetings to introduce and promote ideation/innovation techniques to the rest of the company.
• Pioneered internal R&D on personalization, recommendation, categorization, and search improvements. My toolset mainly consists of Pandas, Numpy, NLTK, and Scikit Learn.Key Technologies:Python, Django, Celery.

• TechStars Boston 2012. Early stage startup that focused on provider-patient communication solutions using predicative analytics and SMS survey technology.
• Worked on team that developed SMS monitoring system for patient health that could scale to millions of users
• Built entire administrative tool for non technical stakeholders to easily build responsive SMS surveys.
• Wrote scalable web scrapping tool to extract millions of forum posts from healthcare forums as a baseline for our analytics tool
• Collaborated with cofounders to plan product and marketing strategies.Key Technologies:Python, Flask, MongoDB, Javscript, JQuery, knockout.js, Git, and Twilio API.

Tech Stars Boston program that teaches budding entrepreneurs how to fit into and build successful startups.

Washington, DC, US

• Performed data analysis for Fortune 500 companies, law firms and government regulatory bodies
• Analyzed competitive effects of half a billion dollar integrated healthcare merger
• Wrote scripts in Python and VBA to improve efficiency of a team of nine Research Associates
• Performed quality control checks on economist reports for court proceedings

Boston, Massachusetts, US

• Higher Education Consulting Firm located in Boston.
• Performed regression analysis on student retention and performance using SPSS
• Generated and designed both tables and graphs using SPSS and Excel for multiple projects
• Cleaned data, wrote syntax, and created variables in SPSS
• Produced client presentations on a variety of topics—including student retention, campus visit assessments and best regions for targeted marketing—using Power Point.

• Cambridge-based think tank concerning the use, regulation, and taxation of land.
• Conducted 10 weeks of research finding instances of payments-in-lieu-of-taxes between Non-Profits and local municipalities
• Redesigned and populated mega-table for use in the PILOTS Policy Focus Report
• Studied and reported on current methods of hedonic pricing models for mass appraisal
• Researched and critiqued advanced statistical methods for mass appraisal

• A Dozen Trees was a startup that aimed to help small- and medium-sized businesses give smarter, and better communicate the impact of their donations to their customers.
• Managed a team of four analysts
• Reduced turnaround time of generating a model by 50%
• Restructured modeling department through the introduction of standardized models and procedures

• Constructed socio-economic models to report impact of charitable donations for clients
• Researched several alternative methods of measuring social returns on investment
• Successfully created an online database to improve the efficiency of communication between Non-Profit Management and Impact Modeling teams

• Manufacturer of private label and branded personal care products.
• Reported to Senior VP of Marketing
• Conducted primary and secondary research to identify potential markets for eight private label products
• Assisted Director of Graphics Services with adverse event reporting compliance
• Researched and proposed environmentally friendly alternatives for packaging design

Ba, Economics, Classical Studies

Education record