# David Shvimer > Software Engineer — AI & Data Platforms | Agents, Spark, ML Ops, Event Driven Systems Location: Miami, Florida, United States Profile: https://flows.cv/davidshvimer Staff engineer specializing in AI and data platforms. I build and scale systems that enable research and production. Event driven pipelines processing millions of events to LLM agents that support sales teams in real time. At Salesloft, I’ve led many efforts: Spark + Delta Lake pipelines, Databricks and MLflow retraining systems, and company-wide LLM infrastructure integrating OpenAI and Gemini with enterprise observability. I enjoy solving hard distributed-systems problems, building tools that empower others, and bridging AI, data, and product teams. Core skills: Python, Spark, Kafka, Delta Lake, MLflow, Databricks, Elixir, Ruby, Kubernetes, Postgres, LLMs, Agents, RAG, Observability, Datadog. ## Work Experience ### Senior Software Engineer @ NVIDIA Jan 2026 – Present ### Staff Software Engineer @ Salesloft Jan 2021 – Jan 2026 AI Platform + LLM Infrastructure - Shipped 3 production LLM agents (context aware chat, account research agent, SDR coaching agent) using RAG, tools, safety layers, and session/state management. Currently, all 3 are core product differentiators and highlighted in 2025 sales cycles. - Own the company wide LLM proxy (LiteLLM), and observability tool (Langfuse) including authentication, cost tracking, observability, and alerting that caught and prevented multiple 5-figure cost spikes. - Implemented agent evaluation framework (LLM as judge, synthetic data regression tests, and golden dataset testing). Now required steps for major agent updates. ML Ops - Owned end-to-end ML operations: Delta Lake + Spark data platform, BERT/tree-model training pipelines, MLflow registry, feature store patterns, and batch/real-time inference on Kubernetes. - Automated dataset creation, model retraining, drift monitoring, and deployment workflows using Spark, Databricks, MLflow, and Kubernetes. Distributed and Event Driven Systems - Scaled Kafka pipelines for millions of emails/day, powering sentiment analysis, signature extraction, and OOO detection. - Designed high-throughput, event-driven services processing tens of millions of events/day for real-time deal + buyer models. - Enforced strict multi-tenancy across all data + ML systems Cross-team & Org Leadership - Uniquely bridging AI research, data engineering, backend, platform, unblocking cross-team initiatives. - Drove architecture for AI features used by the entire company. - Mentored engineers on Spark, distributed systems, and ML workflows, and Agents. ### Software Engineer @ CAIS Jan 2020 – Jan 2021 Participated in efforts to decompose and modernize a legacy Java monolith into Elixir and Kotlin microservices, improving system scalability, maintainability, and developer velocity. Implemented Snowflake data lakes and ETL pipelines, enabling reliable analytics and data sharing across teams. Established SOC 2–aligned processes and automation to secure highly sensitive financial customer data and ensure compliance across production systems. ### Backend Engineer @ Papa Jan 2019 – Jan 2020 Developed and maintained backend services in Elixir, improving reliability and scalability of the core platform. Stabilized inherited codebase from an external dev shop, raising test coverage from 10% to 70%, significantly reducing defects and production risk. Designed and operated a high-availability telehealth service using Twilio Voice and Video, supporting thousands of calls daily for patients and providers. Partnered with CIO to achieve HITRUST compliance readiness, implementing processes to secure sensitive healthcare data. Facilitated weekly engineering design sessions to level up collaborative system design skills across the team. Mentored new hires to accelerate onboarding and improve team productivity. Leveraged Looker (BI tool) for ad-hoc reporting and dashboard development to support data-driven decision making. ### Product Developer @ Trim Agency | mobile | social | web | Jan 2015 – Jan 2019 Consulted directly with clients to define technical requirements and align engineering solutions with business goals. Collaborated in cross-functional teams (marketing, product, design) to deliver digital products from concept to launch. Built and shipped full-stack applications across platforms: Web (Angular), iOS (Swift), and Android (Java). Developed backend services for diverse product types — including marketplaces, social platforms, and lead generation tools — using Node.js, Ruby on Rails, and Heroku. ### Lead Mobile Developer @ Argonomo, LLC. Jan 2018 – Jan 2019 | Remote Contracted to design and build a B2B marketplace using React Native (mobile) and Ruby on Rails (backend). Operated as a self-directed developer and client liaison, managing the full project lifecycle from architecture through delivery. Partnered directly with client stakeholders to demo progress, prioritize features, and advise on best practices for launching and scaling a mobile application. ## Education ### Bachelor of Engineering (B.E.) in Computer Engineering Florida Atlantic University Jan 2015 – Jan 2019 ### Front End Development Certificate in Front End Web Development General Assembly Jan 2015 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/dshvimer --- Source: https://flows.cv/davidshvimer JSON Resume: https://flows.cv/davidshvimer/resume.json Last updated: 2026-03-22