# Kamen S. > Software engineer specializing in scaling and managing AI workloads Location: San Francisco Bay Area, United States Profile: https://flows.cv/kamen Entrepreneurial software engineer with experience in managing large-scale LLM workloads. Bringing a successful track record in technical and leadership roles while building complex solutions that are infinitely scalable, highly observable, and architecturally fault-tolerant. Experienced in • Agile development for iterative SDLC • Distributed processing approaches to develop scalable and fault-tolerant applications • Provisioning and managing cloud solutions for ML workloads • Data Science and Machine Learning techniques for both prediction and analysis • CICD pipelines for automation • Database management and query optimization • Big data analysis using Pandas and Numpy in Python • LLMs and deep learning predictive models utilizing state-of-the-art architectures ## Work Experience ### Staff Software Engineer @ Attentive Jan 2026 – Present ### Senior Software Engineer @ Attentive Jan 2024 – Jan 2026 Working on the ML Platform team to build out the tools and infrastructure to deploy models at scale. o Architected an organization-wide agentic platform in partnership with Product, standardizing autonomous workflows through a centralized semantic model repository, evaluation framework, shared context layer, and unified serving layer o Led a two-quarter, cross-org initiative to deliver minute-level feature streaming for online models, processing 30K+ Kafka events/sec with Spark into Iceberg (offline) and DynamoDB (online), and serving up to 1,500 features via Ray Serve at sub-200ms P99 latency o Directed a build-vs-buy decision for ML monitoring and drove adoption of Arize for large-scale feature and model drift detection, surfacing retraining signals that improved model reliability, trust, and performance o Built and hardened an ML deployment framework with a unified SDK layer across Metaflow, Ray, Spark, and Feature Store, accelerating experimentation cycles and enabling engineers to self-service model deployment o Mentored junior engineers and drove engineering excellence by defining Claude Code guidelines, leading senior+ design interviews, and shaping roadmaps through collaboration with ML and product teams ### Software Engineer @ Anyscale Jan 2023 – Jan 2024 | San Francisco Bay Area Pivotal member of the Platform team, driving the development of solutions that empower enterprises to scale their AI applications. o Spearheading the development of Anyscale's scalable inference platform with Ray, yielding 8-fold surge in usage o Scoping, designing, and engineering critical components to bring industry-leading observability, alerting, scalability, and fault-tolerance for AI model serving, all while driving down Sev0 issues and system failures to 0 o Communicating across enterprise customers, product managers, and cross-functional engineering teams to grasp customer pain points and engineer robust client-centric solutions o Designed a robust reconciliation architecture to manage cloud resource stacks that support running AI workloads ### Software Engineer @ Intel Corporation Jan 2020 – Jan 2023 | Mountain View, California, United States Worked within Programmable Solutions Group to automate and accelerate data pipelines. o Led a project to accelerate ETL jobs through introducing parallelization, yielding 7x improvement in processing time and saving 1000+ hours yearly o Conducted PLSQL performance tuning through B-tree indexes, views, partitions, and clusters within an Oracle data warehouse, reducing load time for users in consuming applications o Collaborated with sales team to reconcile legacy data using fuzzy logic and data transformations with Pandas o Leveraged Denodo to join disparate data sources and expose it to downstream users through Apigee REST services ### Big Data Engineer @ Gap Inc. Jan 2019 – Jan 2019 | San Francisco Bay Area Worked on Demand Forecasting team to support the transition from on-prem systems to the Cloud infrastructure. Worked specifically on porting over an ETL App to Spring boot/batch framework and deploying to PCF on Azure. o Led team of 3 developers to port a monolithic ETL job to the Java-powered Spring Boot/Batch framework, increasing maintainability and extensibility of production code while reducing batch processing time by 25% o Orchestrated 2-week Agile sprint cycles through Jira and maintained high velocity throughout the entire project o Designed and automated a Jenkins CI/CD pipeline using Gradle to build and deploy ETL jobs to PCF on Azure ### Co-creator/Lead Developer @ Sendit.gg Jan 2018 – Jan 2019 Sendit is a web application that aggregates live streams across the internet by genre, and provides an intuitive user interface for content browsing o Architected full-stack web application that curates live gaming, news, and sports content from the internet to provide an intuitive UI for content browsing o Defined and employed a hook model that generated virality through triggers, increasing session duration by 30% o Scaled application across 4 GCP g1 servers with Docker and Kubernetes, and distributed workload across cluster with NGINX load balancer ### Co-creator/Lead Developer @ LIT Launcher Chrome Extension Jan 2017 – Jan 2019 Lit launcher is a chrome interface that gives users a GUI friendly browser experience • Integrated API's to extract data, including weather, geo-location, quotes, and images into launcher using Javascript • Utilized LucidChart to design a user authentication flow for new and fingerprinted anonymous users ## Education ### Master's degree in Computer Science California Polytechnic State University-San Luis Obispo ### Bachelor of Science - BS in Computer Science University of Colorado Boulder ### High School Education Los Altos High School ## Contact & Social - LinkedIn: https://linkedin.com/in/kamenshah --- Source: https://flows.cv/kamen JSON Resume: https://flows.cv/kamen/resume.json Last updated: 2026-03-29