Alan Bergsneider

Spearheaded product QA efforts in CI across all areas of the stack (Python, Django, TypeScript, React), building an API and integrating tools including Cypress, Rainforest, and Locust to perform unit, integration, smoke, functional, and load testing.

Built a full-stack app allowing Amazon teams to test communication delivery to Selling Partners via email, text, mobile app push, and homepage cards. Integrated debug tools into app to reduce support tickets cut to team.

Built API for Humana consumers to access pharmacy data from cloud datastores within 2-4 seconds. Created web app enabling associates to report work-from-home status & respond to surveys to deliver mental health metrics.

Attained working experience with HTML, CSS, Sass, Vue.Js, and Figma through company bootcamps. Applied relevant skills to deliver front-end code pertaining to milestones for the company website’s development.

A top down exploration of how networks operate. Covers video streaming, content distribution networks, cloud computing, transport layer protocols, routers & forwarding, and ethernet & the link layer. Also state-of-the-art topics such as datacenter, software-defined, and programmable networks.

Covers lexical scanning, parsing, abstract syntax trees, semantic analysis, intermediate code generation, optimization, and code generation. Built a working compiler for the Decaf language (a subset of the C++ and Java programming languages).

Revisits the calculus, statistics, and linear algebra underpinning modern artificial intelligence. Introduces tensorflow, keras, and deep learning for various problems (classification, regression, optimization, image classification, time-series) using a variety of architectures (basic neural nets, convolutional neural nets, recurrent neural nets).

Covers topics such as processes and threads, concurrency and synchronization, CPU scheduling, virtual memory management, communication in distributed systems, secondary-storage management, and file systems.

Learn state of the art techniques for modeling language with deep learning, leverage transfer learning to solve NLP problems, and gain experience interpreting research papers as convAI evolves. Built a specialized chat-bot with custom models, check it out below!

Considers the questions: How can you get a patch accepted in a large software project? Can we be confident that your code is correct? What can be automated, and what is best done manually? How can we measure software qualities? How can we avoid problems early?

A holistic course of modern web systems and technologies, covering front end and back end. Build an Instagram clone in the first half of the semester, and a multi-threaded Google clone in the second.

An introduction to Computer Science theory. Design & analysis of algorithms, computability and complexity, randomness in computation, applications of computational hardness to cryptography.

Derives a basic understanding of how computers execute programs. Learn the hardware building blocks which form the functional units of a computer.

Build simulators for an assembler, linker, pipelined datapath processor, and data/memory cache simulator. Also build assembly programs to perform multiplication & combinations.

Presents a number of fundamental techniques to solve common programming problems. Considers time and space complexity in designing solutions to problems.

Computer science fundamentals, with programming in C++. Build an image processing program, a game of Euchre, a web backend, and a machine learning algorithm.

Introduction to the mathematical foundations of computer science. Topics covered include: logic and proofs, sets and functions, algorithms and complexity, mathematical induction, counting, permutations and combinations, relations and partial orderings, graphs and connectivity.