Hey there. I'm Dmitry Slutsky.
I provide software consulting services / run an educational YouTube channel.
10+ years of engineering, 5+ years of leadership experience.
Focus on improving development speed, scalability, infrastructure resilience and cost.
Bridging business and engineering by tailoring product management flow.
Web & Distributed Systems (Elixir / Rust), Fullstack, High Availability
AI / ML, Deep Learning, Data Visualization & Analysis (PyData), Data Lake / Warehouse, ETL
Kubernetes, GitOps, GCP, AWS, Bare Metal
OKRs, Shape Up, PR-FAQs, Git For Everything , Kanban, Scrum, Agile
I reside in Berlin, am officially self-employed, and work remotely.
Projects
Build & Lead a Modern Data Department
Data System Redesign to Improve Reliability & Development Velocity
User Session Clustering on a Large Clickstream Dataset
Setup Product & Project Management at a Process Mining Startup
Create a Domain-Specific Language for Expressing Complex ETL Logic in Process Mining
Prototype Scalable Process Mining Solution to Process Data from Large Clients
Build & Lead Engineering Teams and Setup Product Management at a Startup
Isolated Dev Environments & CI/CD for a Startup
Native Language Features for a BI/AutoML Platform
Search Engine for Big Data with Auto-Complete and Custom Query Language
CI/CD for a High Availability Big Data Platform
Develop an Analytics Solution Capable of Processing Internet-Size Datasets
Services
Setup an Engineering Organization
Are you starting a tech startup, but didn't find your CTO yet? Or are you a CTO that needs somebody to help them through the early days of the company?
I can help you:
- Setup core engineering and product management processes (Shape Up, OKRs, Agile)
- Architect your MVP / PoC
- Help you select a perfect tech stack for your business
- Help you design your engineering hiring process / mentor your hiring managers
- Setup monitoring of core KPIs and engineering metrics.
Artificial Intelligence and Machine Learning
Machine Learning is not magic - I can help you utilize it to automate work, make smarter products, predict business KPIs, and more.
I have extensive practical experience with both building models from scratch and fine-tuning pretrained models. Combined with my expertise in building data systems from scratch, I can help you develop an end-to-end production solutions.
Some of the use cases I can help you with:
- Predictive analytics and forecasting
- Image classification and segmentation
- Natural language queries, sentiment analysis, conversational AI
- Generative AI, anomaly detection, recommender systems, etc.
Data Processing & Analytics
Running blind is scarcely a good idea. Yet, building and maintaining a resilient data system is one of the hardest engineering tasks there is.
I have extensive hands-on experience in data engineering, analysis, visualization, and science, coupled with a proven leadership track record.
Some examples:
- I led data engineering & analytics team and a BI team as a head of data at a medium-sized company. We have dramatically improved data quality, system stability, and regularly uncovered new insights. I established unified data glossary and metrics across the organization.
- I built a highly resilient, low latency system for natural language search, data aggregation, and data visualization for one of the leading ML-powered BI-startups.
- Together with the CTO, I designed and built a PoC of a data system for an e-commerce aggregator startup, delivering first dashboards and data pipelines in just two weeks.
DevOps, DevEx, Infrastructure, and Cloud Management
Dev process & infrastructure automation can help you accelerate feature development, improve uptime, and limit costs.
I'll help your team design and implement a modern CI/CD automation, no-downtime deployments, provisioning, monitoring, and more.
I can build a system of isolated production-like development environments to streamline business/engineering collaboration and testing.
And, if your cloud bills are biting, I'll help you optimize the cloud costs.
Design & Build a Proof of Concept/MVP
When you start a new business or want to try out a new direction at the existing company, speed is of the essence. Yet, you don't want to be stuck with a PoC that you cannot develop into a real product if it verifies your hypothesis.
Using my extensive engineering experience, I can design and build a maintainable PoC for you in a short time.
I speciallize in web development, high load/distributed systems, and data systems. This is combined with my infrastructure & product management skills, so you'll get software that is easy to deploy and that keeps track of metrics that matter.
Over the years, I've designed over a dozen systems and worked for some big IT companies , medium sized companies , and various startups in both leadership and individual contributor roles.
You don't need to trust my words to verify my skills: just check out my YouTube channel or look at my Github profile .
Technologies I Use
Here you can find the table of technologies I have experience with.
For greenfield projects, I'll help you select a set of technologies most suited to your business needs.
You'll notice that tech-wise I have extensive experience with infrastructure, functional programming, distributed and web applications, data analytics, science, and engineering.
I'm full stack, though usually my focus is on backend / infrastructure level work, even though I have extensive experience with JavaScript and various frontend frameworks.
I'm cool with both Kubernetes and old-school deployment setups with Ansible or Bash. I work on Linux and macOS.
| Extensive Production Expertise | Used in Production | Basic Knowledge | |
|---|---|---|---|
| Programming Languages | Elixir, Rust, Python, Julia, Scala, JavaScript, SQL | Erlang, F#, C#, OCaml, Go, Bash, XSLT | Swift, Clojure, Haskell, Elm, ReasonML, TypeScript, Ruby, Java, C, C++, Datalog, Prolog |
| Databases | PostgreSQL, Clickhouse, Redshift, BigQuery, Redis | MySQL, Microsoft SQL Server, SQLite, Cassandra, Mnesia, Neo4j, MemSQL, MongoDB, Elasticsearch | InfluxDB, Riak |
| DevOps and Infrastructure | GitOps, CI/CD, Docker, Kubernetes, Helm, GKE, AWS, GCP, RabbitMQ, Prometheus, Github Actions | Bare Metal, Serverless, Ansible, Kafka, Datadog, Gitlab CI/CD | Rancher, Podman, Firecracker, Unikernels |
| Web (Backend) | Phoenix, Rocket, Actix-Web, Flask, Play | Express, Django, ASP.NET, MochiWeb | Ruby on Rails |
| Web (Frontend) | Phoenix LiveView, React, Svelte, HTML, CSS, Tailwind, SASS, BEM | WASM (via Rust & Yew), ClojureScript, Angular, Meteor, Socket.io, jQuery, Vanilla JS | Dioxus, Vue, D3.js, Turbolinks |
| Data (Areas) | Deep Learning, AI/ML, Statistics, Data Visualization, Data Analysis, Data Engineering, Big Data | Probabilistic Graphical Models, Speech Recognition, Process Mining | Expert Systems, Recommender System |
| Data (Tech) | Keras, Tensorflow, Pandas, Numpy, SciPy, scikit-learn, XGBoost, Prophet, Streamlit, Plotly, Seaborn, Dask, Airflow | Polars, Nx, Axon, Spark, Matplotlib | PyTorch |
How I Work
So, how do we start? Depending on the project, I follow slightly different processes during the implementation/delivery phase, but in any case we'll first have a short conversation to figure out if I can be of help to you and if the project fits my schedule.
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Below you can select a project type and see how the process will look like in each case. Some projects (e.g., executive consulting) may deviate from this outline depending on the task at hand.