Eytan Brodsky

• Owned and led development on Rust backend codebase for Downstream's custom content management system.
• Redesigned backend architecture to allow for distributed operation of API containers in AWS ECS.
• Designed and implemented key security features for a comprehensive security assessment of the CMS.
• Revamped CI/CD architecture, version control workflows and technical documentation across the front-end and back-end.
• Spearheaded adoption of observability infrastructure through New Relic OTEL tracing, significantly improving response and error resolution times.
• Optimized MongoDB data model and query design, resulting in 30% lower execution times for high-volume endpoints.
• Leveraged Kafka to build a resilient event-driven architecture, effectively decoupling services and enabling seamless scalability for high-throughput operations.
• Coordinated cloud infrastructure deployments and version upgrades across multiple client environments.
• Mentored junior engineers in Rust development and testing patterns, cultivating on-the-job learning.

• Delivered custom software solutions for clients, specializing in backend development and cloud infrastructure.
• Architected and implemented scalable web applications in Python, Go and Rust, hosted mainly on AWS.
• Optimized existing systems and databases to improve performance, reduce costs, and enhance reliability.
• Provided technical consulting on cloud optimization strategies, infrastructure modernization and development practices.
• Advised clients throughout full project lifecycle from initial consultation through deployment.

• Led development of an Intel Capital startup product for managing and optimizing cloud resources in Rust.
• Developed a declarative language similar to Terraform, enabling users to enforce cost constraints and governance rules across cloud environments.
• Collaborated directly with enterprise clients to identify operational challenges and prioritize feature development.
• Orchestrated monthly product releases, presenting new capabilities to investors and stakeholders.
• Delivered measurable cost reductions for Intel's internal AWS operations and external client deployments.
• Authored technical blog posts, user documentation, and developer guides to drive product adoption.
• Managed hybrid infrastructure across on-prem and AWS environments for development and production systems.

• Facilitated weekly office hours, offering help to students and answering questions.
• Managed 12 student teams, each having 3-6 members.
• Resolved conflicts between teams and clients and facilitated collaboration.
• Oversaw weekly meetings with groups and clients, evaluating progress and grading work.

• Built and showcased computer vision demos in Python and C++ for industrial IoT applications.
• Built a neural network performance analysis tool, providing decision-driving datapoints and metrics.
• Worked on lower-level optimizations and tests in C++ for the neural network optimizer, identifying and removing performance bottlenecks.
• Developed PoCs and contributed to several papers on 802.11ax and time-sensitive networking at Intel Labs.

• Maintained several thousand servers in one of Intel's main data centers.
• Collaborated with server vendors to solve hardware issues and minimize downtime.
• Configured BIOS, network and hardware settings and performed standard maintenance on data center hardware.
• Streamlined data center operations with Python and Bash scripts for the team.

Crypto Exchange API

• A Rust project that interacts with the Coinbase and Kraken crypto exchanges.
• Provides a Rust API to interact with the exchanges' REST API and websocket endpoints.
• Provides a declarative language for monitoring specific coin pairs and defining triggers and actions based on real-time market data.
• Implemented micro-optimizations to improve hot-path efficiency and minimize latency.

DNS Resolver

• Implemented a recursive DNS resolver in Rust.
• Followed the specifications in RFC 1035 to interact with DNS servers.
• Added a packet information visualization tool similar to hexdump to more easily see information contained in each DNS packet.

Convex Optimization Heuristic for Priority and Time Constrained Packet Scheduling

• Implemented a MATLAB simulation of a single hop star network to simulate packet switching between virtual machines with a unique scheduling technique to improve efficiency with high and low priority workloads.