Kate Yanchenko Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

We started as Multi Agent AI software Development Team which uses feedback loop from testing, and self-evolves into working software with all micro-services calling each other;And... we built an LLM-Platform with The First CI/CD Pipeline, observability, online prompt management. Just happened that it felt more right and there was a need from the market to do that thing.We aim to build a cloud for LLM-Prompts. Just simply, to provide for you an API for your AI-Agent, which will get feedback and self-learn constantly.

London, England, United Kingdom

Machinet is a GenAI application that automates software creation for engineers by generating code based on LLM. Context and Project overview makes our suggestions more relevant than standard ChatGPT responses. My role involved:- Developing the entire backend, handling all client-side interactions.- Architecting a flexible system for managing various AI LLM models, optimized for rate limits, dynamic prompt contexts, and best practices in prompt engineering.- Implementing a dynamic behavior system allowing models to determine next steps and enrich prompts.- Overseeing full infrastructure, including CI/CD, cost optimizations, security, and observability.- Acting as a security officer, ensuring SOC-2 compliance.- Managing a small team.

Cambridgeshire, England, United Kingdom

As a Software Developer in Ring's team, I managed high workloads effectively.Accomplishments:- Developed and launched cost-efficient distributed systems, adhering to CI/CD, security, and operational excellence, that was used by 4 teams at Ring with a load 2kRPS.- Presented a designed and built service to Amazon's VP.- Addressed numerous DynamoDB challenges under heavy loads.- Initiated a technology-focused book club in the team.- Consistently exceeded expectations.Day-to-Day:Expertise in AWS, DynamoDB, Redis, Java, Security, and Operational Excellence.

Binder is an AI-based social app connecting users with similar skills and hobbies.Overview:As a co-founder, I developed the backend on AWS with Django (Python) and implemented Celery cron jobs. I used the word2vec algorithm to match users by interests.Accomplishments:Persistently worked towards goals with strong belief, even without immediate financial rewards.Day-to-Day:Python and AWS services (EC2, S3, Route53, LoadBalancer, Autoscaling, Memcached).

Belarus

As a Commerce team, we were responsible for developing payment services.Overview: I have been an integral part of our team, developing and maintaining web services with high load.Accomplishments:- strong code review skills and a fluent understanding of integrated services architecture; - responsible for designing and development a large feature (virtual currencies) that affected multiple teams.- Leaded decisions on high load campaign;Day-to-Day:Python, Golang, Twisted, MySQL, Memcache, Docker, Redis, RabbitMQ, NewRelic, Sentry, Prometheus, Graphana

Belarus

Minsk, Belarus