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Mikhail N.MN

Mikhail N.

Lead Software Engineer | Java · Python · AWS · LLM

€500/day
Vienna, AT
15+ years

Average response time: 1 hour

About Mikhail

I design, build and optimize distributed backend systems. 15+ years with Java, Spring, AWS and cloud native microservices - at the architecture level.

What I’ve delivered:
  • ML-based cost forecasting service, 95% accuracy (Apache Spark, Spring Batch, AWS)
  • 60% cloud cost reduction through profiling and architecture redesign
  • Distributed testing platform running thousands of regression tests across iOS, Android, Apple TV, PS, Roku, Chrome - with monitoring, reporting, and automated recovery
  • Event-driven architectures, microservices migrations, DevOps pipelines
  • Real-time AI pipeline: TensorRT-compiled Whisper ASR model, cloud LLM with sub-second retrieval, custom prompt engineering - optimized for consumer hardware
Performance engineering:
I profile and instrument everything I build - Java, Python, JavaScript. I measure I/O and latency at every layer. Performance is how I think, not an afterthought.

AI/ML:
LLM inference optimization: TensorRT, Triton, open-weight model deployment, Whisper ASR, semantic search, RAG, prompt engineering. Focused on latency-critical real-time applications where every millisecond counts. Graph database experience (Neo4j) for large-scale transaction analysis.

Available 2 days/week. Flexible for calls during CET business hours. Working language: English.

Services: architecture reviews, code audits, performance optimization, system design, LLM integration, cloud cost reduction.
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Clarivate (Unycom GmbH)
    Lead Software Engineer
    June 2019 - Today (7 years and 2 months)
    • Design of distributed systems using cloud-native microservices
    • Development of ML-based service tailored for IP professionals, delivering cost forecasts with 95% accuracy using decision trees. Technologies used: Apache Spark, Spring, Spring Batch, AWS
    • Performance optimizations that allowed to decrease cloud costs by 60%
    • Data analysis with Jupyter notebooks and Python
    • DevOps activities with Docker, Jenkins and various AWS services (EC2, Aurora, EKS, CloudWatch, etc)
    Java Python Machine learning Amazon Web Services Spring boot
  • Sperasoft LLC
    Lead Software Engineer
    May 2017 - June 2019 (2 years and 1 month)
    • Design and implementation of enterprise-level distributed testing system
    • Backend development with Java Spring, Spring Cloud, Hibernate, Postgres, Redis and Zookeeper
    • Event-driven system design using Kafka as a decoupling service bus
    • System integration with a lot of internal and external services including docs.google.com, slack.com and various statistics services using oauth2
    • Client middleware based on Java and Python
    • DevOps activities with Docker, Rancher, Jenkins, Ansible, ELK, Grafana
    • Continuous communication with overseas customers
    • Many months of business trips for on-site project development in San Francisco
    Java Python Spring boot Spring cloud Ansible
  • Sperasoft LLC
    Senior Software Engineer
    November 2016 - May 2017 (6 months)
    • Creation of advanced test runner for comprehensive testing with automatic detection and recovering from different test environment issues
    • Additional functionality for test runner such as html reports generation, Rally integration, automatic recovery and many other features
    • Automated system to deploy test runner and scale it with Jenkins
    Python External API integration Docker Automated testing Jenkins

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Education

  • Master Degree, Computer Science
    VolSU
    2008

Skill set

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