Dmitrii Chaikin Email & Phone Number

Tbilisi, Georgia

https://copilot2trip.com/Duties and Achievements:- Researching, Prompt-Engineering constructing RAG's, etc. for Large Language Models (LLM)- Development and expantion of functionality of the Django backend- Addition of new features to the backend, such as blogs functionality, ability to voice-to-text or different payments platform support- Optimisation of costs for maps, models and infrastructure- DevOps role (construction of CI/CD pipelines, deployment of VM's, monitoring, etc.)- etc.Technologies:- Django- Django ORM- OpenAI- Azure- Stripe, RevenueCat- Mailchimp- Foursquare, Google Maps API- Containers (Docker, Docker Compose)- GitLab- PostreSQL, SQL- Sentry- Jupyter- Jira

Moscow, Russia

Continuation of Dalytics work, so mostly technologies are the sameAdditional (to Dalytics) duties and achievements:- Creation of additional parsers with RPS of around 1000 (even taking into account the use of our own proxy service to avoid bans on the marketplace) - Recruiting and managing a team of 3 developers - Active communication with DevOps team in the process of moving to another data center and drawing up infrastructure requirements- Started the process of full-fledged documentation of services for faster immersion of developers and creation of test-cases from QA- Began the process of transitioning the team's services to the deployment process using KubernetesAdditional technologies:- Grafana

Moscow, Moscow City, Russia

Duties and Achievements:- Creation of various industrial-grade crawlers/parsers of marketplaces (analogs of Amazon/etc.). Added support for 2 different high-load marketplaces from zero to production (13+ million unique products per session (batch); 5-24 unique sessions per day)- Reverse Engineering of marketplaces' mobile API- Creation of support-microservices for crawlers (such as alerts-bot for telegram/e-mail, archiver for Kafka topics e.t.c.)- A bit of analytics and DevOps (Like getting sales for %brand_name% for a certain period; deploying Sentry on a server or configuring CI/CD pipeline)Technologies:- Containers (Docker, Docker Compose)- GitLab- Unit-Tests- Multiprocessing / Threading- parsing/scraping- asyncio / aiohttp- Apache Kafka, Schema-Registry- Apache AirFlow- Clickhouse- PostreSQL, SQL- Sentry- Jupyter- Jira- HttpCanary (CharlesProxy)- Code review

Moscow, Russia

Duties and Achievements:- Created handful of microservices, such as "StorageChecker Module" (roughly speaking, it detects new files in the checking folder, sends them by API to the main system for anti-virus testing and then distributes them according to the verdicts). - Collected over 3TB of datasets (parsing, web-scraping, etc.);- Researched and then created malware detection Machine Learning models for major filetypes (EXE, PDF, APK, VBA, ELF), resulting in increased overall company product recall;- As Data Science Lead, interviewed ± 10 people (mostly juniors and trainees), hired 6 of them, looked into ~ 30 test tasks, led the team of 4 data-scientists;Technologies:- Docker- CI/CD (Gitlab)- Git- MySQL- Web-scraping (selenium, requests, bs4)- Flask- Multiprocessing / Threading- RabbitMQ- Pandas/Dask, Numpy- Sklearn; Xgboost; Keras