Valentin Petrov
GenOps & AI Visionary
Building next-generation infrastructure for AI systems with modern DevOps practices and cutting-edge technologies.
Performance at Enterprise Scale
Delivering tangible business outcomes through innovative GenOps and AI solutions.
40%+
Cloud Cost Reduction
Optimized cloud spend by over 40% through advanced resource scheduling, autoscaling, and strategic instance selection.
1.2M+
Inferences/Day
Orchestrated a high-throughput architecture for processing millions of daily LLM inference jobs.
60M+
Active Users
Engineered platforms to reliably serve over 60 million active users for a leading global payments provider.
15+
Enterprise Projects
Led the end-to-end delivery of complex AI infrastructure projects for Fortune 500 clients.
100%
System Uptime
Guaranteed 100% service availability by architecting a resilient, multi-region infrastructure with automated failover and progressive canary deployments.
● Proven ROI for Fortune 500 companies and enterprise clients ●
Valentin Petrov
GenOps Engineer & AI Infrastructure Specialist
GenOps Engineering for the AI Frontier.
Dedicated GenOps and AI Infrastructure Engineer with extensive experience building and optimizing cloud-native systems for artificial intelligence applications. Specializing in deploying and scaling LLMs, vision models, and other AI systems while maintaining best practices for security and cost optimization.
My expertise is continuously sharpened by a deep commitment to frontier R&D. I thrive on the edge of innovation, systematically exploring, testing, and hardening emerging technologies—from novel inference servers to multi-agent frameworks—long before they become mainstream. This proactive exploration is how I transform cutting-edge theory into the reliable, scalable, and cost-effective infrastructure that powers the future.
I bring together the worlds of DevOps and AI Engineering to create robust, production-ready infrastructures that power next-generation AI applications. My expertise spans multi-cloud environments, GitOps workflows, containerization, and infrastructure as code.
How I Think Differently
Beyond today's sprint: Engineering for long-term value and scalability.
Strategic Foresight
Strategic Foresight
I focus on architecting systems that are not just effective today but are scalable and adaptable for future demands. This involves anticipating technological shifts and business growth to build resilient, longlasting infrastructure.
- Future-proof architectural planning
- Emphasis on scalability & adaptability
Proactive Resilience
Proactive Resilience
I believe in building systems that are resilient by design. My focus is on proactive engineering—creating architectures that can gracefully handle failures, recover automatically, and provide early warnings, fostering a more stable operational environment.
- Chaos engineering & resilience testing
- Meaningful, proactive observability
Business-Driven Engineering
Business-Driven Engineering
With an MBA in Innovation & Finance, I approach technical challenges with a strong understanding of business objectives. I prioritize solutions that are not only technologically sound but also financially viable, ensuring engineering efforts deliver tangible ROI.
- MBA in Innovation & Finance
- ROI-focused architectural decisions
Frontier R&D Mindset
Frontier R&D Mindset
In the rapidly evolving landscape of AI and DevOps, I dedicate significant time to researching and experimenting with bleeding-edge technologies, acting as an an early adopter to understand their potential and limitations long before they become mainstream.
- De-risking new technologies for enterprise use
- Translating theory into production-ready solutions
My GenOps Framework
A deep-dive into the specialized skills I apply to build production-grade AI and cloud-native systems.
AI Infrastructure
AI Infrastructure
Designing and managing scalable, high-performance infrastructure for training and deploying AI models.
- LLM & Vision Model Serving
- Distributed Training Clusters (GPU)
- MLOps & AIOps Pipelines
- Data Orchestration (ETL)
Cloud Engineering
Cloud Engineering
Architecting secure, resilient, and cost-effective cloud solutions on major platforms like AWS, GCP, and Azure.
- Multi-Cloud & Hybrid Strategies
- Infrastructure as Code (IaC)
- Serverless Computing & Microservices
- Network Security & Compliance
DevOps & GitOps
DevOps & GitOps
Automating software delivery pipelines and infrastructure management using modern DevOps principles.
- CI/CD Pipeline Automation
- Containerization (Docker, Kubernetes)
- Observability & Monitoring
- Configuration Management
Career & Technology Trajectory
Explore my professional journey as a DevOps engineer and my parallel evolution in the field of AI.
Senior DataOps Engineer
SolarEdge
10/2025 - Present
- Orchestrate mission-critical data workflows, managing high-throughput event streaming from a global fleet of over 3 million IoT devices.
- Architect and maintain a highly customized Kafka ecosystem, implementing custom compression algorithms and performance tuning to handle massive data ingress.
- Lead the strategic integration of advanced AI and automation into DataOps pipelines to streamline data processing and unlock new analytical capabilities.
- Execute end-to-end upgrades of all monitoring and DataOps systems, enhancing system observability, reliability, and ensuring enterprise-grade performance at scale.
Senior DevOps Engineer
Delasport
02/2025 - 10/2025
- Pioneered the integration of AI-driven workflows into core DevOps processes, significantly accelerating development cycles and automating complex tasks.
- Implemented and championed enterprise-grade tools like Sourcegraph, leveraging its multi-repo search and AI capabilities to enhance developer productivity.
- Orchestrated complex whitelabel platform integrations and automation pipelines, ensuring rapid, reliable delivery for a diverse portfolio of international clients.
- Drove organizational transformation by establishing and enforcing modern DevOps and GitOps best practices, contributing to a more resilient and efficient engineering culture.
Senior DevOps Engineer
Trading 212
07/2024 - 02/2025
- Architected and deployed hybrid Kubernetes platforms across AWS (EKS) and on-premise data centers, ensuring seamless workload portability.
- Engineered a custom-built, high-fidelity cost monitoring system from the ground up, utilizing Python and AWS Lambda to aggregate metrics from Elasticsearch and Prometheus.
- Delivered an expert-level Grafana dashboard with advanced data transformations, providing cost analysis that surpassed the accuracy of commercial tools like Kubecost.
- Spearheaded the strategic migration of all EKS clusters to on-premise, refactoring the entire observability stack (ELK, Prometheus) for enhanced performance and data sovereignty.
Senior DevOps Engineer
Nexo
06/2023 - 07/2024
- Engineered and optimized high-availability AWS environments, leveraging Amazon EKS for container orchestration and RDS/Aurora for database management.
- Architected scalable CI/CD pipelines with commissioned GitOps to automate deployment workflows and enhance developer velocity.
- Managed Infrastructure as Code (IaC) using Terraform and Helm, ensuring reproducible, secure, and scalable cloud infrastructure.
- Deployed and maintained a comprehensive observability stack including Prometheus, Grafana, Datalog, and ELK.
- Integrated Strimzi Kafka and AWS MSK to build resilient, high-throughput data streaming services for microservice architectures.
DevOps Engineer
PaySafe
09/2018 - 06/2023
- Spearheaded the modernization of the CI/CD stack (Ant, Gradle, Bitbucket, Bamboo, Ansible) to streamline the software delivery lifecycle.
- Automated critical development and operations workflows, significantly boosting team efficiency and reducing manual errors.
- Contributed to infrastructure design and OS configuration, implementing best practices for security and performance.
- Managed Akamai and F5 configurations, and was responsible for disaster recovery (DR) planning and execution.
SysOps Engineer
Gaming Innovation Group
02/2018 - 08/2018
- Architected and maintained high-performance monitoring systems using Prometheus, Grafana, and Datadog.
- Developed automated cloud deployments with Ansible and Jinja Templating across Azure, DigitalOcean, and Oracle Cloud.
- Managed the full lifecycle of microservice container applications (Docker, Kubernetes, DC/OS).
- Maintained development environments, including DC/OS and various database clusters to support engineering teams.
DevOps Engineer
PaySafe
01/2017 - 02/2018
- Developed idempotent development environments using OpenStack, OpenShift, Docker, and Kubernetes.
- Optimized and automated deployment scripts with Ansible, Puppet, and Bash Shell.
- Contributed to application design and OS configuration for PCI Compliant, best-in-class financial products.
- Maintained application and system monitors with Nagios, OMD, NewRelic, and Prometheus.
Education
MBA in Business Startup and Entrepreneurship
University of Insurance and Finance (VUZF)
Advanced postgraduate degree focused on venture architecture, innovation life-cycles, and technology market-entry strategies.
- Venture architecture and innovation life-cycles.
- Technology market-entry strategies.
Bachelor in Economics and Finance
University of Insurance and Finance (VUZF)
Quantitative foundation in financial modeling, risk assessment, and market analysis.
- Financial modeling and risk assessment.
- Economic principles and corporate structures.
Enterprise Technology Stacks
A curated selection of the production-ready tools and platforms I use to build scalable AI systems and cloud-native infrastructure.
Cloud Platforms
AWS, GCP, Azure
Containerization
Orchestration & Tooling
Infrastructure as Code
Automation & Provisioning
CI/CD & GitOps
Delivery & Automation
Observability
Metrics, Logs, Traces
Data Platforms
Streaming & Databases
LLM Serving & Orchestration
Inference & RAG
Vector Databases
Similarity Search
MLOps & Data Platforms
Automation & Management
AI Agent Frameworks
Autonomous Systems
Experiment Tracking
Models & Metrics
Frontier R&D & Technical Deep Dives
A live feed of frontier experiments. From assessing new AI agents and reviewing developer tools to documenting the architecture of my latest builds. This is where I parse the noise.
The Agentic Shift: Moving Beyond Chained Calls
Why standard RAG chains are hitting a ceiling, and how stateful, goal-oriented agentic workflows (using CrewAI & AutoGen) are redefining enterprise automation.
Kafka vs. Pulsar for Crypto Streams
Implementing high-throughput ingestion layers for real-time market data. Here is my benchmark and why I chose Pulsar for the new crypto-ingest engine.
Cursor: The First AI-Native IDE?
After 30 days of exclusively using Cursor, I break down the "Composer" feature and whether it actually replaces a junior dev or just accelerates a senior one.
The Rise of Small Language Models (SLMs)
Why the future of edge-computing lies in highly quantized, domain-specific 7B parameter models running locally.
Vibe Coding
How rapid prototyping with LLMs is shifting the engineer's role from "writer" to "architect" and "editor".
DevPod: Killing Localhost
Moving development environments to the cloud. I tested DevPod against Coder and GitHub Codespaces. Here is the verdict for enterprise teams.
SpicyOrbit: Tokenized SaaS
A look under the hood of my Web3 SaaS. How I used Crossplane to manage dynamic tenant provisioning and token gating on AWS.
Prompt Caching Strategies
Reducing latency and cost by implementing semantic caching layers (Redis/Vector) for repetitive prompts.
Bun vs Node for Lambda
Benchmarking cold starts and execution time for high-concurrency serverless functions. Is the hype real?
Vector DB Benchmarks 2025
A comparative analysis of Qdrant, Weaviate, and Pinecone performance at 100M+ vector scale.
OpenTelemetry Tracing in RAG
Implementing full distributed tracing to debug hallucinations and latency spikes in complex retrieval chains.
My Vibe Coding Projects
A selection of solo projects where I explore and harden emerging technologies in AI, infrastructure, and developer productivity.
SpicyOrbit
Architectural Design & PoC
An ambitious Web3-native SaaS platform architected to tokenize professional identity. The system leverages generative AI to dynamically build, deploy, and host bespoke portfolio websites from professional data, while integrating a decentralized tokenomic model to allow creators to build and capture value from their career trajectory.
Cryptic Level
In Progress
An autonomous intelligence platform designed to ingest, analyze, and distill emerging trends across the AI, VC, and crypto sectors.
FantasyCLI
Proof of Concept
An experimental framework for creating immersive, narrative-driven technical experiences using stateful LLM agents.
git-auto
Published / Active
A published CLI tool on PyPI that integrates with local Git repositories to automate commit message generation using LLMs.
AI Storage Warden
A system to ingest, organize, and present links and resources in a readable, AI-curated format.
Knowledge Base
A dedicated framework for building, maintaining, and querying a comprehensive personal knowledge base.
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