Last 6 months • Developed Communication Agents for voice and messaging. Autonomous AI Agents with advanced planning and knowledge management. Strong proof of concept solutions in 1.5 months. https://wofoware.com • Formal requirements quality assessment. Driving cost of requirement quality assessment down to 10c per requirement and less then 1 min. https://reqq.ai Services • project and codebase audit • solution and cloud architecture review • solution to cloud migration

• Led and safeguarded the company's technology and AI strategies for the next 12 months, initiating the development of AI 2 features now in the proof-of-concept stage. • Expanded the team 2.5 times by incorporating more in-house developers and contractors for non-core development tasks. • Implemented DORA metrics, enhancing development velocity by 3 from medium to high/elite levels. • Introduced behavior-driven testing to a legacy codebase, improving testing orientation and reducing production errors by 30%. • Orchestrated the creation of a multi-environment backup and restore strategy, strengthening data security and reliability; accelerated data restoration into client accounts, cutting onboarding time by 50%.

• Remotely performed comprehensive analysis of legacy systems. • Designed an architecture for transitioning legacy RDBMS and ETL/curation processes to the cloud. • Executed a proof of concept for Delta Lake-based storage and workflow. Suggested efficient methods to monitor curation processes, saving time and effort.

Company - RFID enabled supply chains (from factory to DC and retail) Project - migration of legacy monolith app to cloud microservices based SaaS solution (.net, c#, sql/nosql, rabbitmq/kafka) - big data platform optimization (from legacy luigi, cassandra to spark, delta lake) - new IIoT strategy (azure edge platform, IoT hub) and extended data stream processing - dev processes optimization with emphasis on architecture decisions and solutions, unified patterns and libs approach along teams

Company - SaaS startup Realtime Positioning System (both indoor and outdoor) Team - assembled and build a team of devs, devops, data scientists from ground up Solution - containerized solution for both cloud and on premise deployment. edge servers. - off-the-shelf and custom hardware (BLE, UWB, GPS, Lora, video) deployments to far sites - algorithms - classic (particle filtering) and modern (ML/NN/DLL). - mobile device management

Company: SaaS startup aimed at general contractors sector. Integrations of most used SaaS in this market and extending functionality via use of BPMS. Role: Solution architecture and prototype of very flexible and configurable integration engine created. Mentored of K2 solution implementation. Stack: #azure #k2 #quickbooks #cosmosDB #.net #xm8 #Dynamics #neo4j

Dron Alert - Co-Founder, for monitoring of man-operated drones by analyzing Wi-Fi spectrum. Role: Solution architecture created. Developed UI prototype and data flow. Implemented particle filtering using neural nets (LTSM). Stack: #IoT #edge #neural-nets #saas #azure #angular

Company: full cycle of BPMS services Clients : major local and international clients

Project: Proprietary on-premise ERP adopted for multitenant SaaS model including major simplification of UI/UX for mass-market. Roles: Product owner and tech lead. Development lifecycle changed and extended with CI/CD. Major enhancement made for DSL and analysts group IDE (Eclipse plugins). Mass-market strategy created from ground up. Stack: #java #eclipse-plugins #postgresql #bamboo

BSC-methodology implemented for most of group companies

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