Folks.Rocks

Founder & Hiring Strategy Consultant

2hearts

Building tomorrow's tech society with cultural diversity: 2hearts is a community of people with immigration backgrounds from the tech scene (founders, investors, top executives) with the mission to empower great talent with immigration backgrounds to enrich Europe's tech economy.

Community Member

Ultra Tendency International

✅ 𝐉𝐚𝐯𝐚 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐁𝐢𝐠𝐠𝐞𝐬𝐭 𝐁𝐚𝐧𝐤 𝐢𝐧 𝐄𝐮𝐫𝐨𝐩𝐞:

• Served as a Java Big Data Developer, focusing on enhancing and optimizing data processing and management.
• Regularly reviewed and revised code to ensure optimal performance and maintainability, both within and outside of merge requests.
• Collaborated closely with the project owner to evaluate the profitability and feasibility of new tasks, ensuring efficient resource allocation and prioritization.
• Actively engaged in team discussions, sharing knowledge and insights on emerging technologies and best practices.
• Took the lead in promoting knowledge sharing by delivering presentations on relevant topics, such as natural language processing and dialogue flow capabilities.

𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:

• Proactively identified and revised poorly written code, leading to a significant improvement in overall code quality and setting a new standard for the team.
• Successfully influenced a positive change in team behavior, with 15 coworkers adopting a more proactive approach to code review and quality assurance.
• Demonstrated a strategic approach to task management, effectively avoiding the implementation of • 3 features that were deemed non-essential, resulting in time and resource savings.
• Spearheaded knowledge-sharing initiatives, including delivering a well-received presentation on dialogue flow, which ignited team interest and discussions on natural language processing.

Big Data Software Developer

SberDevices

✅ 𝐑𝐞𝐩𝐥𝐢𝐜𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐒𝐛𝐞𝐫𝐁𝐨𝐱 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭

• Engaged in the revision and refactoring of the existing ecosystem for creating dialogue scenarios using Scala, Akka, and Kafka.
• Spearheaded the development of new features to enhance user interaction and dialogue flow.
• Diligently addressed and resolved bugs, ensuring a seamless user experience and system functionality.

𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:

• Successfully refactored and optimized the existing ecosystem, leading to a 20% improvement in dialogue scenario creation efficiency.
• Introduced innovative solutions that were readily adopted, fostering a culture of continuous improvement and technological advancement within the team.
• Recognized for proactive collaboration and bridging the gap between the development, testing, and analytics departments, resulting in more streamlined processes and enhanced product quality.

Scala Developer

Grid Dynamics

✅ 𝐂𝐡𝐚𝐭 𝐁𝐨𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐆𝐫𝐢𝐝 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬

• Developed an API for OmniChannel chat clients, including platforms like Mobile/Flutter and Amazon Alexa.
• Led the initiative to rewrite logic for NLP/NLU processing, leveraging the capabilities of DialogFlow & BigQuery within the Research & Development Team.
• Designed a robust framework based on Google App Engine to support the chatbot functionalities.
• Established a CI/CD pipeline using Google Cloud Build, ensuring seamless deployment and updates.
• Integrated AI-powered NLP functionalities with the backend to enhance chatbot responses and interactions.
• Ensured smooth integration of mobile platforms with the REST backend, providing a consistent user experience across devices.
• Prioritized and implemented unit tests to validate the functionality and reliability of the chatbot system.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐥𝐚𝐮𝐧𝐜𝐡𝐞𝐝 𝐭𝐡𝐞 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 𝐏𝐎𝐂 𝐰𝐢𝐭𝐡𝐢𝐧 𝐒𝐥𝐚𝐜𝐤, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 25% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬.

Python Developer

Synechron

✅ 𝐏𝐎𝐂 𝐀𝐈-𝐎𝐩𝐬 𝐟𝐨𝐫 𝐖𝐞𝐥𝐥𝐬 𝐅𝐚𝐫𝐠𝐨

• Integrated CI/CD techniques with Machine Learning to streamline and enhance the deployment of AI models.
• Collaborated closely with the ML Platform Team Sales to align project goals and deliverables.
• Underwent business training on MLM platforms, with a focus on DataRobot, to enhance ML knowledge and skills.
• Conducted extensive research on ML methodologies and best practices to ensure optimal project outcomes.
• Performed benchmarking of model training speeds to identify areas for optimization.
• Checked and validated sample datasets in various ML tools to ensure data quality and consistency.
• Designed and implemented a robust pipeline using GitLab, Python Flask, and DVC, enhancing the efficiency of ML model deployment.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 𝐭𝐡𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐧 𝐚 𝐬𝐡𝐨𝐫𝐭 𝐭𝐢𝐦𝐞𝐟𝐫𝐚𝐦𝐞 𝐚𝐧𝐝 𝐭𝐨𝐨𝐤 𝐨𝐧 𝐚 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐫𝐨𝐥𝐞, 𝐠𝐮𝐢𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 𝐭𝐨𝐰𝐚𝐫𝐝𝐬 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐢𝐨𝐧.

Double Data

✅ 𝐃𝐨𝐮𝐛𝐥𝐞 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐃𝐨𝐮𝐛𝐥𝐞 𝐃𝐚𝐭𝐚

• Developed a system to filter data across all social network websites for each account holder.
• Enhanced command programming skills to improve the efficiency and reliability of data processing.
• Wrote and optimized Spark-based tests to ensure data accuracy and performance.
• Implemented best practices in design patterns, including the builders design pattern, to streamline data processing.
• Developed functionality to save statistics in AWS S3, ensuring data integrity and accessibility.
• Created a Spark Job for filtering and counting statistics, providing actionable insights for client decision-making.
• Designed scripts for seamless communication with Elastic MapReduce using Python Boto3.
• Worked within a Scrum framework, ensuring timely delivery of project milestones and effective team collaboration.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐬𝐩𝐞𝐞𝐝𝐬 𝐛𝐲 25% 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞 𝐢𝐧 𝐀𝐖𝐒 𝐒3.

Big Data Developer

Home Credit Russia

✅ 𝐍𝐢𝐟𝐢 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐬𝐭𝐬 𝐟𝐨𝐫 𝐇𝐨𝐦𝐞𝐂𝐫𝐞𝐝𝐢𝐭 𝐁𝐚𝐧𝐤

• Developed a Scala library for integration tests of Nifi flow, ensuring each Nifi block was tested based on comments.
• Set up Docker-compose with two containers (Nifi and Kafka) and wrote a Process Builder for Docker interaction.
• Designed a validation algorithm for the data-provenance stream based on processor comments.
• Matched responses from Nifi-rest to the case class structure using Scala-faster-xml.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐭𝐡𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐨𝐟 𝐍𝐢𝐟𝐢 𝐟𝐥𝐨𝐰 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐛𝐲 30%, 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧.

✅ 𝐃𝐚𝐭𝐚 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐇𝐨𝐦𝐞𝐂𝐫𝐞𝐝𝐢𝐭𝐁𝐚𝐧𝐤

• Developed and integrated a system to save data from websites, backend servers, and mobile applications to the Hadoop Ecosystem.
• Wrote a Scala library to automatically generate a config for Flume, enabling data reading from Kafka and storage in HDFS.
• Designed a Spark Job for data complexity in the HDFS block of 128 MB.
• Architected a comprehensive data collection system, including creating a naming convention for 
Kafka topics and segmenting data for homogeneity.
• Collaborated actively with coworkers to develop balancers based on F5 and Imperva for Kafka-REST.
• Engaged with the backend of three Agile teams at the bank, providing consultation on writing Producers with custom partitioning keys for Kafka API.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐢𝐦𝐞 𝐛𝐲 40% 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬.

AGIMA

✅ 𝐂𝐥𝐢𝐜𝐤𝐇𝐨𝐮𝐬𝐞 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 

• Developed and integrated a system to collect data from Google Analytics to ClickHouse, a renowned Russian Database from Yandex.
• Implemented Python code for data collection and integration.
• Ensured data accuracy and optimized data transfer processes.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐝𝐚𝐭𝐚 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐬𝐩𝐞𝐞𝐝𝐬 𝐛𝐲 30% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐂𝐥𝐢𝐜𝐤𝐇𝐨𝐮𝐬𝐞.

Data Integration Developer

✅ 𝐊𝐨𝐫𝐚𝐛𝐥𝐢𝐤 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

• Integrated, collected, and analyzed both web and offline data.
• Implemented JavaScript code for data collection from the website.
• Analyzed data from the website and surveys to derive actionable insights.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐝 𝐤𝐞𝐲 𝐮𝐬𝐞𝐫 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 20% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐭𝐚𝐫𝐠𝐞𝐭𝐞𝐝 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲.

Data Analyst & Developer

✅ 𝐗𝐟𝐢𝐭 𝐆𝐨𝐨𝐠𝐥𝐞 𝐓𝐚𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧

• Developed and integrated a system using Google Tag Manager to enhance Google Enhanced Analytics for the Xfit website.
• Created JavaScript code for accurate data collection from the Xfit site to Google Analytics.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐛𝐲 15% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐫𝐞𝐟𝐢𝐧𝐞𝐝 𝐝𝐚𝐭𝐚 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐦𝐞𝐭𝐡𝐨𝐝𝐬.

✅ 𝐎𝐟𝐟𝐥𝐢𝐧𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐈𝐊𝐄𝐀 
• Conducted offline research by surveying shoppers at a large shopping center.
• Designed and executed surveys to gather insights and feedback for IKEA.
• Analyzed via Pandas and Numpy survey results to provide actionable recommendations.
• Achievement: Identified key areas of improvement, leading to a 10% increase in shopper satisfaction at the surveyed IKEA location. 

✅ 𝐆𝐀 𝐃𝐚𝐭𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐈𝐦𝐩𝐨𝐫𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤
• Developed a framework for importing data from the Google Analytics system.
• Streamlined the data analysis process and improved efficiency in data handling and reporting.

iConText

✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧

• Increased efficiency in the e-commerce project, focusing on conversion, revenue, and transactions.
• Full customization of Google Universal Analytics, including Enhanced Ecommerce, dataLayer JSON integration, and ERP connection.
• Comprehensive customization of Yandex.Metrica and Optimizely, integrating with Google Universal Analytics.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐚 20% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐞-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐫𝐚𝐭𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐚𝐢𝐥𝐨𝐫𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧𝐬.

Senior Web Analyst

✅ 𝐒𝐮𝐫𝐯𝐞𝐲 𝐚𝐧𝐝 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧

• Created polls using TypeForm and integrated post-poll mechanisms into the call center workflow.
• Developed survey templates and conducted them to gather valuable customer insights.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧 𝐛𝐲 30% 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 𝐟𝐫𝐨𝐦 𝐬𝐮𝐫𝐯𝐞𝐲𝐬.

✅ 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧

• Conducted in-depth data analysis using Microsoft Excel, including data uploading, Pivot Table aggregation, bottleneck identification, and a/b testing results analysis.
• Generated insights from the collected data, created user segments for application in Google Universal Analytics, and visualized answers to e-commerce project users' queries.
• 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐝 𝐚𝐧𝐝 𝐚𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝 𝐭𝐡𝐫𝐞𝐞 𝐦𝐚𝐣𝐨𝐫 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬, 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐨 𝐚 15% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐬𝐢𝐭𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭.

📞 𝐂𝐨𝐧𝐭𝐚𝐜𝐭:
🌐 Website: folks.rocks
📧 Email: artem@folks.rocks
📱 Phone: +1 419 827 6378 (USA) / +359 88 262 8925 (Bulgaria)

👉 With a decade in tech, hands-on coding, and roles in 15 companies across 3 niches, I founded Folks.Rocks. More than a recruiter, I'm a polyglot, IT researcher, and prompt engineer. I deeply connect with developers, swiftly identify the right candidates, and value understanding the individual, backed by thorough LinkedIn and CV checks.

🎯 𝐍𝐢𝐜𝐡𝐞: Fintech, Big Data, Web3, Algo-Trading, IOT
👥 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬: CTO, Senior devs, Engineering Managers, Analysts (data, web, business, systems)

𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
🌐 Web Analytics: Deep understanding of user behavior, ROI in advertising, and optimizing advertising costs from my time as a Web Analyst and Google Analytics Evangelist.
🛠️ Data Engineering: Hands-on experience with big data tools and technologies, enabling precise assessment of technical proficiencies.
💻 Web Development: Proficiency in JavaScript and experience in creating frameworks for data import, giving me an edge in understanding the intricacies of web development roles.
🚀 Big Data & Backend Technologies: Mastery over tools like HBase, Hadoop, and Apache Kafka, combined with my background in Java, Scala, and Python, allows for accurate evaluation of backend developers.
☁️ Cloud Technologies: Well-versed in AWS, Amazon EMR, and other cloud platforms, ensuring the identification of top talent for cloud-based roles.
📚 Frameworks & Libraries: Knowledgeable in Spring Boot, Akka, Flask, and PyTorch, facilitating the assessment of developers familiar with these tools.

🤝 Ready to recruit the best developers for your business? Let's connect!

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