# Elisabeth Gross > Lead Software Engineer | AI Infrastructure & Agentic Systems | 0→1 Product Builder | LLMs, LangChain, AWS Location: Brooklyn, New York, United States Profile: https://flows.cv/elisabethgross I’m a Staff-level Fullstack Engineer with 8+ years of experience building scalable systems across AI, data, and product infrastructure - primarily in early-stage and fast-paced environments. At Luxury Presence, I independently designed, shipped, and scaled a production-grade, agentic SEO automation platform using LangChain, OpenAI, AWS Step Functions, and NestJS. What began as a solo project became a core product powering content for 20,000+ websites - and a new Client Marketing Automation team formed around its success. As a founding engineer at Coderbyte, I helped architect the code challenge engine and built an educational YouTube channel that grew to 26,000+ subscribers. My background combines deep technical ownership with a passion for mentorship, developer experience, and clear communication. I thrive in ambiguous spaces where new systems need to be imagined and delivered. I am most excited about AI infrastructure, orchestration, and products that help humans work smarter. ## Work Experience ### Senior Software Engineer 4 – Team Lead @ Luxury Presence Jan 2024 – Present • Took ownership of an ambiguous product vision to automate SEO with generative AI, independently architecting and delivering a full-stack, production-grade platform from conception to launch. • Built an LLM-powered agentic system using LangChain, LangGraph, OpenAI APIs, NestJS, and Postgres, supporting autonomous workflows for page scraping, content diffing, keyword generation, markdown creation, and page content optimization. • Developed tooling that enabled product managers and subject matter experts to co-own prompt engineering and debugging workflows, bridging the gap between technical and domain expertise. • Started as the sole engineer on the project, and built and mentored a team of 5 that evolved into the company’s dedicated Client Marketing Automation group. • Shipped the core system that now powers SEO recommendations and AI-generated content across 30,000+ client websites, transforming a manual service into an intelligent, scalable product. ### Software Engineer @ Coderbyte Jan 2023 – Jan 2024 • Brought on in a full-time, time-bound capacity to fill a critical engineering gap during a transitional hiring phase. • Played a key role as the second engineer, shaping the architecture, roadmap, and engineering culture of Coderbyte’s developer upskilling and technical interview platform. • Led development of core product features including the coding challenge engine, test case validation framework, and real-time code execution infrastructure across multiple languages. • Collaborated closely with product and marketing to translate user feedback into new capabilities - helping expand Coderbyte from a question bank into a full-stack developer training platform. ### Software Engineer @ Coderbyte Jan 2019 – Jan 2024 • Created and scaled Coderbyte’s YouTube channel, growing it to 28,000+ subscribers through high-quality videos teaching software engineering, interview prep, and CS fundamentals. • Acted as a community facilitator and technical mentor, regularly engaging with users, reviewing submissions, and guiding engineers through common patterns and anti-patterns in real-time feedback sessions. ### Software Engineer Level 3 @ Nova Credit Jan 2022 – Jan 2023 | New York, United States • Architected and led development of a high-throughput ETL data pipeline that normalized heterogeneous international credit bureau data into a unified schema, enabling accurate, real-time financial insights. • Spearheaded the global credit integration strategy, launching connectivity with Experian (USA), TransUnion (South Africa), Círculo de Crédito (Mexico), and Credit Bureau Singapore, extending the platform reach across multiple geographies. • Built the Credit Map Studio, a self-serve developer platform that empowered engineers across teams to build, validate, and deploy credit data transformations with automated testing and schema evolution tracking. • Partnered with Data Science to co-develop Nova’s flagship Global Credit Score product - an ML-informed creditworthiness model used by Fortune 500 banks to underwrite loans for immigrants with no domestic history. ### Software Engineer Level 3 @ ActZero.ai Jan 2020 – Jan 2022 • Designed and implemented microservice-based systems using AWS Lambda, API Gateway, and DynamoDB, adhering to a fully serverless architecture to support high-volume, low-latency cybersecurity workflows. • Launched and productionized ML-driven threat detection algorithms, integrating model inference into real-time Lambda pipelines scanning customer endpoints in real time for anomalous behavior. • Developed internal tooling to support model rollout, confidence threshold tuning, and post-deployment alert review, bridging ML outputs with incident response workflows. • Migrated a legacy monolithic frontend to a modern React + GraphQL stack hosted on AWS Amplify, reducing annual platform maintenance costs by ~$100K. • Spearheaded development of a customer-facing portal displaying scan results, threat signatures, and remediation recommendations, increasing customer engagement and transparency. ### Software Engineer @ Moz Jan 2018 – Jan 2020 • Led the re-architecture and migration of Moz’s billing infrastructure from a monolithic Zuora-based system to a modern, in-house solution built on Stripe APIs - reducing operational overhead and saving the company over $1 million annually. • Designed and implemented billing workflows including subscriptions, invoices, proration, dunning, and reconciliation, ensuring accurate, auditable revenue tracking across global customer accounts. • Built and maintained internal admin dashboards to support finance team workflows and customer support ticket resolution. • Founded and led Moz’s internal mentorship program for women engineers, creating a structured pairing and learning initiative that improved retention and engagement across the org. ### Software Engineer @ Test Innovators Jan 2016 – Jan 2018 | Greater Seattle Area • Designed and launched the “Grit Score,” a performance feedback system analyzing engagement signals across the test prep platform to drive personalized insights. • Developed a standardized test content integration tool using Redux, enabling outsourced content uploads and custom test generation-contributed to $100K+ in revenue within the first month. • Led the frontend migration from AngularJS to React, improving developer efficiency and UI consistency across the product suite. • Architected and deployed core AWS infrastructure (EC2, RDS, Auto Scaling, IAM, CloudFormation), enabling the company’s transition from a single-server setup to a modern, scalable platform. ### Teaching Fellow @ Fullstack Academy Jan 2016 – Jan 2016 ### Content Marketing & Community Manager @ Feedback Loop Jan 2015 – Jan 2016 • Research, design and development for two micro-sites generating a total of 130+ leads • Managed weekly podcast, "This is Product Management", with 6,000 weekly listeners • Authored articles about topics such as product management, rapid prototyping, and user research • Compiled multiple reports and ebooks such as "Data-Driven Product Management" and "The Guide to Prototyping & User Research Solutions" • Began self-taught journey into software engineering through close collaboration with product and engineering teams. ## Education ### Biology in General Yeshiva University Jan 2012 – Jan 2016 ### Software development Grace Hopper Academy ## Contact & Social - LinkedIn: https://linkedin.com/in/elisabeth-gross-b2602433 --- Source: https://flows.cv/elisabethgross JSON Resume: https://flows.cv/elisabethgross/resume.json Last updated: 2026-03-22