Georgia

Technical Product Management

Back-end

Data Engineering

Data engineering

Development Operations

Site Reliability

AI/ML Engineering

Nick Laptev

Founder/CTO

Problem-solving

Critical-thinking

Conflict resolution

Project management

AI/ML

Chatbot

Cloud computing

Information architecture

Machine learning

Python

Twitter Ads

Airflow

Apache Spark

ChatGPT

Carrd

CircleCI

Docker

Facebook Ads

Golang (Go)

Google Ads

Instagram Ads

Java

JavaScript

Jupyter Notebook

Lucidchart

Google Analytics

gRPC

REST API

MongoDB

Selenium

Redis

RabbitMQ

PostgreSQL

Node.js

Kafka

1. Teach practical architecture skills by solving real life puzzles using biweekly posts on Twitter, YouTube and LinkedIn.
2. 2k subscribers. 12 posts. 354k views.

Activities:
1. Formed product/market fit for a product.
2. Designed the system and implemented a release candidate.
3. Closed the product when AWS released the same functionality.

Projects:
CRONaaS (05/2022-11/2022)
Scheduling as a service. There were no enterprise ready solution that could provide millions of scheduled jobs in a resilient and scalable way.
Development environment: TypeScript, React, Serverless Framework, AWS (API Gateway, Lambda, DynamoDB, SQS, EventBridge), LucidChart.

1. Made the most important technical decisions in data driven way in child companies with a portfolio of hundreds of products (including Jive, FogBugz, Sococo, BiznessApps, Engine Yard, Kayako, CloudFix).
2. Technical due diligence during pre-acquisitions.
3. Architecture governance for all products.
4. Simplified overgrown products dramatically by concentrating on core value.
5. Saved millions with cost optimisations in AWS infrastructure practising FinOps.

Activities:
1. Extracted architecture vision from heads and visualised it for 7 products.
2. Recommended improvements for 7 products.
3. Designed notifications platform from scratch that sends messages to 12+ millions of passengers.
4. Technical guidance for all products in the company and child companies.
5. Organised and lead learning activities to fill gaps in architecture skills in development teams.
6. Assisted with root cause analysis for the most sophisticated issues happening in the company daily.

Projects:
Identifying as-is architecture in all products (10/2021-04/2022)
My goal was to identify as-is architecture from heads and outdated notes, and provide recommen- dations to it.
Development environment: Kubernetes, Kafka, Apache Airflow, Java, PostgreSQL, Redis, Hazelcast, MongoDB, LucidChart.

Universal communication platform (11/2021-04/2022)
My goal was to design a platform to manage distribution of marketing and service messages via different channels (web and mobile push, email, SMS, Wallet, internal channels) from scratch and provide architecture governance during its delivery.
Development environment: Kubernetes, Kafka, Java, PostgreSQL, Redis, RedisGraph, Elastic- Search, LucidChart.

Activities:
1. Created technical proposals for several tenders that will bring millions of dollars and loyal clients to EPAM.
2. Guided novice Delivery Manager through all project duration.
3. Formed a team and processes around start-up approach of delivering the value.
4. Lead interviews with business clients.
5. Got clients interested in more opportunities than they thought initially, that lead to bigger EPAM revenue.
6. Designed the system deployable to both On Premise and AWS, that will decrease the price of genetic
analysis by 30%.
7. Brought not compilable prototype sources into fully working application.
8. Created semi-automatic deployment process for the prototype in AWS using infrastructure as a code approach and immutable resources.
9. Created CI process basing on pipeline as a code approach.
10. Introduced automated performance testing process for the prototype to follow data driven approach for development.
11. Introduced logs aggregation in AWS CloudWatch.
12. Introduced metrics to measure business use cases.
13. Tuned performance of ElasticSearch under high load with huge data volume.
14. Managed costs of using AWS resources.
15. Technical leadership of cross-functional teams of 10+ people including Devs, DevOps, QA, delivery manager and business analysts.
16. Advocated for effectiveness, transparency and integrity.
17. Identified performance bottlenecks in a distributed system consisting of SPA and 50+ integrations with external services.
18. Recommended enhancements to improve performance in 50 times.
19. Defined data management strategy to meet needs of multi-tenant product basing on results of DB benchmarks.
20. Designed system provisioning in both US and China AWS regions.
21. Designed MachineLearning inference process happening 100% Serverlessly in reactive way.

Projects for Thomson Reuters, Syncron, Onit, BluJay, Sogaz, Inditex, Allianz, PerkinElmer.

Activities:
1. Designed all components of the platform.
2. Made existing system scalable, moved it from MVP state to production ready.
3. Brought structure to source code, made it extensible and testable.
4. Increased code coverage from 0 to 80%. Introduced unit and integration testing.
5. Organised work of several cross-functional (Developers and Data Scientists with ML/CV
background) and distributed teams.
6. Guided Data Scientists to find the best approach to train ML models using our own and Cloud
resources.
7. Introduced measuring performance of a team and individual contributors.
8. Trained teams to be more effective and improve performance.

Projects:
Spotsize (06/2019-10/2019)
Limited contract work for a startup.
The product uses front cameras of new model of IPhones to identify the size of a foot and recommend best matching shoe models. It uses Depths Maps, Machine Learning and Computer Vision.
Development environment: SAP Cloud Platform, Cloud Foundry, Java, Spring, Netflix OSS, Elastic Stack, Bitbucket Pipelines, Microservices.

Activities:
1. Created a plan to solve quality issues in one SaaS product including creation of standards and acceptance criteria.
2. Lead an acceptance of the plan from stakeholders, provided constant assistance during plan implementation.
3. Acted as a technical expert in that product.
4. Acted as a security expert in all products.
5. Migrated Jenkins based CI builds for a core project to CD pipeline including cleaning ineffective solutions and adapting to new project requirements.

Projects:
Human Capital Management (07/2018-05/2019)
A set of products in HR field based on SAP SuccessFactors.

I solve hard technical and architectural problems and train teams to solve them.

Projects:
Migration to AWS at Kick (09/2021-11/2021)
1. Created AWS native architecture.
2. Designed fully automated CI/CD processes.
3. Created IaC scripts to provision all infrastructure.
4. Setup observability with logging and metrics.
Development environment: Heroku, AWS (Lambda, ECS, ECR, EC2, Fargate, S3, RDS, Post- greSQL, EventBridge, SystemsManager, CloudWatch, ELB), LucidChart, GitHub Actions, Terraform.

Code Reviewer at Geektastic (05/2019-04/2020)
Reviewing code challenges to help the world's top tech companies to hire the best developers. Part-time job.

Core services at N26 (06/2018-08/2018)
1. Identified organisational and technical bottlenecks and created a plan of improvements.
2. Removed redundancy from development process.
3. Introduced measuring performance of a team and individual contributors.
4. Fixed broken Continuous Delivery pipeline for several services.
5. Provided technical guidance for introducing support of US market.
Development environment: AWS, Docker, Java, Spring, Netflix OSS, Jenkins, Microservices.

Several projects at Gigster (11/2016-05/2017)
Implemented several projects for world top companies. Other details are protected by NDA.

UI Services for Upwork (11/2016-01/2017)
Designed and implemented a core part of A/B testing system for Upwork platform.
Development environment: Java, Dropwizard, AWS(EC2, DynamoDB, Redshift), Netflix OSS (Eureka, Hystrix, EVCache), Docker, Elastic Kibana, Grafana, REST, JUnit, PITest, Intellij Idea, Microservices.

Nick Laptev🇬🇪

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