Michael – JavaScript, Python, React

The company offers enterprise AI GRC (Governance, Risk, Compliance) solutions for AI risk management helping ensure the reliability and trustworthiness of scaled AI, Generative AI, and Intelligent Agents.

• Queried OpenAI models using Langchain and vector databases
• Worked with message history and agents and pipeline optimizations
• Provided web interface for communication with AI model, intergrated AI into backend workflow via function calling
• Maintained multiple services written in Python and Node.js
• Refactored legacy code, built new features, fixed bugs
• Assisted with maintaining Azure, AzureML and Kubernetes infrastructure
• Was in charge of performance analysis and future optimization

An Environmental Intelligence System designed to empower enterprises in analyzing customer processes and offering comprehensive environmental analytics. The primary objective is to assist businesses in taking proactive climate action by automating the decarbonization process, thereby reducing emissions and concurrently enhancing profits. This system serves as a strategic tool to promote sustainability and environmental responsibility within enterprise operations.

• Proficiently worked with PostgreSQL and MongoDB databases as part of the project stack that included NestJS, GraphQL, React, Tailwind, Apollo, TypeScript, Docker, and various AWS services such as S3, SQS, EB, Lambdas + API Gateway, ECS, and OpenSearch.
• Pioneered the development of the project from its inception, playing a key role as one of the initial developers.
• Managed teams of up to 8 members, providing mentorship to junior developers, onboarding new team members, and facilitating the integration of non-technical individuals into our communication processes across departments.
• Contributed to complex logic implementation and participated in decision-making processes regarding project architecture.
• Engaged in effective communication with product owners and played a pivotal role in creating and prioritizing technical tasks.
• Enhanced the development experience by implementing changes and configuring various local development tools while introducing new logging and debugging tools.
• Proactively identified and addressed performance issues, ensuring the project maintained optimal efficiency.

A comprehensive social media management platform crafted to simplify the administration of diverse social accounts, spanning platforms such as Instagram, LinkedIn, Facebook, TikTok, and others. This centralized solution empowers users to seamlessly oversee and manage a multitude of social media profiles, providing efficiency and convenience through a unified interface.

• Spearheaded the development of the customer-facing UI and back-end services for the application, encompassing database servicing.
• Orchestrated a seamless transition from a custom calendar based on Angular to the Mobiscroll calendar library.
• Introduced the capability to mention other accounts when posting on Linkedin and Instagram, leveraging their respective APIs.
• Synchronized Instagram chats with the application, enhancing user interaction and engagement.
• Led the migration effort from Angular to React for the entire application, optimizing performance and user experience.
• Conducted a version upgrade, advancing the MongoDB infrastructure from version 3 to 5, ensuring compatibility and leveraging the latest features.

An emergency application. The app uses a mobile phone's GPS functionality so that users can provide emergency call-takers with their location information as determined by their smartphone. 'ZoneGreen' also includes Family and Friends lists for different notification scenarios and Police Assistance Line numbers as options, so non-emergency calls are made to the most appropriate number or mail.

• Developed a front-end for multiple platforms: web, mobile (Android, IOS).
• Implemented a websockets flow for messaging between front-end and back-end.
• Implemented an algorithm that used an emergency score based on multiple parameters like GPS coordinates, police/alert reports in the current area, etc.
• Implemented drawing functionality, scaling shapes functionality, undo/redo functionality, developing and maintaining all server-side network components

Multi-tenant app for downloading and uploading e-books and any kind and volume of text files. Once the files are uploaded, they can be searched word-by-word or letter-by-letter. Different user roles are implemented with a corresponding user interface for each role

Michael took charge of UI development based on design specifications. Additionally, he played a key role in generating new API requests and implementing full-text search functionality. Michael's responsibilities extended to working on the database architecture for a multi-tenant structure.

It is a voice analyzer that detects health and mental problems with the help of innovative scientific methodologies. Features: user/admin creation, administration, deletion; b2b administration; mobile application content generation; API keys generation for application integration.

Michael implemented authentication features, encompassed social authentication, fixed bugs, and integrated a voice recognition module utilizing a neural network provided by a third party. Also, he developed APIs to support multiple mobile applications.