Christopher Gorski
Senior Software Engineer
Experience
Senior Software Engineer
Allegro
- Re-platformed the checkout cluster to Spring Boot 3 (MVC) with Kafka + Outbox/Saga, halving hot-path p99 420 ms → 210 ms (-50%) at 6.5k rps; validated in Grafana + Datadog APM and k6 load runs.
- Introduced Redis + Caffeine cache-aside for availability/pricing, cutting DB reads -38% and saving ≈$14k/quarter in IOPS; proven via RDS Insights, Redis INFO, and cost reports.
- Delivered zero-downtime blue/green deploys (Argo Rollouts, PDBs, readiness gates) for pricing API, taking deployment failure rate 3.1% → 0.6% and MTTR 27 → 9 min; evidence in Argo + PagerDuty timelines.
- Shipped OpenTelemetry traces + logs/metrics correlation across 12 microservices; cross-service debug time dropped 45 min → 12 min; measured in Jaeger/Tempo and on-call reports.
- Frontend: migrated legacy catalog UI from AngularJS to Angular 17 micro-frontends and built a React promo-rules editor (module federation, RxJS query, React Hook Form); LCP p75 3.2 s → 1.9 s, CLS 0.14 → 0.04; verified by Lighthouse + Web Vitals.
- Added feature-flagged A/B price rules (Unleash + Spring Boot starter) with Micrometer business counters; conversion on targeted SKUs +2.4%; experiment readout in internal experimentation platform.
- GC and pool tuning (G1 → ZGC, Hikari), plus HTTP thread tuning; CPU -22%, container requests -18%, worth ≈$5.7k/month infra savings; shown in Kubernetes + Datadog dashboards.
Senior Software Engineer
Artisan AI
- Built a low-latency inference gateway (Spring WebFlux + Netty, gRPC) in front of GPU workers; p95 ~180 ms at 2.1k rps, 99.9% availability; validated via Prometheus SLOs, Grafana, k6.
- Implemented RAG retrieval service (Java + pgvector + Redis Bloom) with re-rank; search F1 +13% and tail p99 520 ms → 260 ms; metrics from offline eval harness + APM traces.
- Orchestrated async embeddings/batch jobs (Kafka, Spring Cloud Stream, Outbox/Inbox), eliminating duplicate work and lowering reprocessing costs -37%; confirmed by Kafka consumer lag + cost reports.
- AI quality: added guardrails (prompt templates, input sanitization, semantic grounding, toxicity classifier) cutting hallucination rate -28% and policy violations -62%; measured by weekly eval set + human review.
- Shipping/runtime: containerized models on Triton + KServe, GPU autobatching + dynamic concurrency; throughput +41% per A100 and unit cost -24%; numbers from Prometheus GPU/exporter + billing.
- Security & compliance: mTLS, per-tenant quotas (Bucket4j + Redis), SBOM (Syft/Grype) + Cosign image signing; critical CVEs -92% in 2 quarters; trends from CI security gates.
- Frontend: built a React admin console and Vue-based prompt/playground with latency charts, eval diff views, and feature flags; PR cycle time 3.4 → 2.1 days (-38%) and post-release integration bugs -41%; GitHub/CI analytics.
- JVM footprint optimization (JLink, CDS, tiered compilation) and Alpine base; image size -48%, cold-start -35% for serverless workers; validated in registry stats + cold-start traces.
DevOps Engineer
AioCare
- Rolled out a Kubernetes platform (3 envs, 8 node pools) with Terraform + Helm + Argo CD, cutting deploy time 45 min → 7 min (-84%) and enabling ~20 prod releases/week; verified in Argo CD history and Jira releases.
- Built progressive delivery (blue/green + canary 5%→25%→100%) on GitHub Actions → Argo Rollouts, reducing failed deploys by ~72% and MTTR 38 min → 11 min; confirmed via PagerDuty + Grafana incident timelines.
- Introduced SLOs (p95 API < 250 ms, error budget 1%/30d) with burn-rate alerts; lifted API uptime to 99.95% over 12 months and cut MTTD 12 min → 3 min; Prometheus/Grafana dashboards as evidence.
- Optimized cloud spend -28% YoY using HPA/VPA, spot nodes, storage lifecycle policies, and right-sizing; environment spin-up shrank 2 days → 2 hours with reusable Terraform modules; validated by Cost Explorer/Billing + CI timestamps.
- Shipped end-to-end observability (OpenTelemetry traces, Prometheus metrics, Loki/ELK logs) and golden dashboards per service, lowering “unknown root cause” postmortems by ~60% and after-hours pages by ~50%; PagerDuty analytics + RCA tags.
- Hardened SDLC for medical data: SBOM + image signing (Syft/Grype, Cosign), OPA/Gatekeeper policies, Vault/KMS secrets; reduced critical CVEs in images by >90% within 2 quarters; security scan trends used for proof.
- Delivered DR runbooks and quarterly game-days achieving RPO ≤ 5 min and RTO ≤ 30 min via cross-region backups and infra-as-code restores; results documented in DR drill reports.
Software Engineer
Spyrosoft
- Designed, developed, and maintained enterprise and consumer-facing applications for multiple international clients, such as a fintech dashboard for BNP Paribas, an e-commerce platform for a retail client, and a healthcare management tool for a telemedicine startup; delivered scalable solutions using React, Angular, and Vue on the front end, with FastAPI, Django, Java, and Golang powering high-performance back ends, ensuring seamless integration, security, and excellent user experience.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Healthcare, Retail, Banking and Finance, and Information Technology.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Operations, and Quality Assurance.
Skills
Programming Languages:
- Java
- Typescript/javascript
- Python
- Go
- Sql
Frameworks & Libraries:
- Spring Boot 3 (Mvc & Webflux/netty)
- Grpc
- Micrometer
- Jpa/hibernate
- Reactor/rxjava
- Fastapi/django (Prior)
- Node.js (Nestjs/fusion.js)
- React
- Angular
- Vue
Cloud & Infrastructure:
- Aws (Lambda, S3, Ec2, Eks Etc)
- Gcp
- Docker
- Kubernetes
Database Technologies:
- Postgresql
- Mongodb
- Mysql
- Firebase
- Redis
Message Queues & Real-time Systems:
- Rabbitmq
- Kafka
- Websocket
- Firebase
- Sns
Security & Compliance:
- Oauth 2.0
- Jwt
- Ssl/tls
- Gdpr
Devops & Ci/cd:
- Gitlab Ci/cd
- Jenkins
- Travis Ci
- Docker
- Kubernetes
- Aws Lambda
Testing Frameworks:
- Junit
- Mockito
- Jest
- Cucumber
- Postman
- Selenium
Version Control & Collaboration:
- Git
- Github
- Gitlab
- Bitbucket
- Jira
- Confluence
Monitoring & Logging:
- Prometheus
- Grafana
- Aws Cloudwatch
- Datadog
Languages
Education
Lublin University of Technology
Master’s Degree in Computer Science · Computer Science · Lublin, Poland
Lublin University of Technology
Bachelor’s Degree in Computer Science · Computer Science · Lublin, Poland
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Do you have questions? Here you can find further information.
Where is Christopher based?
What languages does Christopher speak?
How many years of experience does Christopher have?
What roles would Christopher be best suited for?
What is Christopher's latest experience?
What companies has Christopher worked for in recent years?
Which industries is Christopher most experienced in?
Which business areas is Christopher most experienced in?
Which industries has Christopher worked in recently?
Which business areas has Christopher worked in recently?
What is Christopher's education?
What is the availability of Christopher?
What is the rate of Christopher?
How to hire Christopher?
Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
Similar Freelancers
Discover other experts with similar qualifications and experience
Experts recently working on similar projects
Freelancers with hands-on experience in comparable project as a Senior Software Engineer
Nearby freelancers
Professionals working in or nearby Warsaw, Poland