Hi 👋 — Technical Project Manager building AI-powered software products

Building modular software products that combine AI, backend engineering, workflow automation, data analytics and technical project management.

Designing and building software products that combine technical project management, backend engineering, artificial intelligence, workflow automation, data analytics, business intelligence and business problem-solving.

Focused on translating business needs into practical, maintainable and scalable technical solutions through product thinking, modular architecture, structured delivery and hands-on engineering.

Experience spans technical project delivery, SaaS products, AI-powered automation, backend development, data analysis, business intelligence and cross-functional collaboration across healthcare, fintech, energy, enterprise technology and service operations.

• Building modular AI-powered products with clear business use cases
• Developing backend services and reusable APIs
• Designing multi-step AI agents and automated workflows
• Turning operational processes into maintainable n8n orchestrations
• Creating data analyses, KPI dashboards and decision-support tools
• Strengthening software engineering, SQL, DevOps and product-building capabilities
• Connecting product strategy, technical execution and measurable business outcomes

Build practical systems that solve real business problems — not isolated demos.

• Product-first: start from the user need, business process and measurable outcome
• Modular by design: separate telephony, AI, orchestration, backend and business systems
• API-first: use clear interfaces between services and external platforms
• Documentation-driven: make architecture, decisions and operating procedures understandable
• Automation where it adds value: reduce repetitive work without hiding critical logic
• Data-informed: use analysis, KPIs and feedback to guide product decisions
• Maintainable over impressive: prefer reliable systems that can evolve safely

Modular AI voice-ticketing platform for service and support operations.

A backend and workflow system that collects customer information, analyses the request, validates missing fields, creates a structured ticket, asks for optional follow-up details and produces a spoken confirmation.

Current capabilities

• Multi-turn conversation intake
• Structured ticket extraction and validation
• Priority and routing recommendations
• Follow-up message and callback collection
• Mock CRM ticket creation
• FastAPI backend and Swagger documentation
• n8n orchestration
• Local LLM, speech-to-text and text-to-speech stack
• Modular architecture prepared for telephony and CRM integrations

Stack: Python · FastAPI · Pydantic · n8n · Ollama · Whisper · Piper · Docker · REST APIs

Public Community Edition:
AI Phone Ticket Agent Community
Repository link will become active once the public release is published.

Business-focused data analysis of historical Kickstarter campaigns.

Analyses campaign outcomes across categories, funding goals, backer ranges, campaign duration and countries to identify factors associated with higher success rates.

Work completed

• Data cleaning and state filtering
• Success-rate analysis
• Category and funding-goal comparisons
• Backer and duration analysis
• Country-level insights
• Cross-tab analysis
• Business recommendations and documented methodology

Stack: Python · Pandas · NumPy · SQL concepts · Matplotlib · Business Analysis

Repository:
Kickstarter Success Analysis
Repository link will become active once the project is published.

Two-sided marketplace and partner inventory-management product.

A product concept enabling hotels and hospitality partners to monetise underused amenities through flexible day access, while controlling capacity, schedules, prices, quotas, included services and blackout periods.

Product focus

• Customer marketplace
• Partner SaaS dashboard
• Flexible inventory and access windows
• Capacity and overcrowding controls
• Off-peak revenue optimisation
• Multi-category expansion across hospitality and travel services

Current stage: Product definition, market research, business model and architecture planning.

Selected workflow and agent projects developed or prototyped across local and self-hosted environments:

• AI Phone Ticket Agent
• Voice-to-Ticket automation
• Telegram Voice-to-Ticket ingestion
• Incident Triage Agent
• Support Triage Agent
• Call Copilot from Transcript
• Team AI Copilot
• API & Workflow Monitor
• Ticket intake and finalisation workflows

• Construction lead intake, qualification and CRM routing
• Construction quotation and project brief automation
• Invoice chasing and payment follow-up for contractors
• Weekly construction KPI digest and management summaries
• Property lead qualification and personalised follow-up
• Real-estate listing and content automation
• Tenant, maintenance and incident-request triage
• Property-management workflow and task orchestration
• Appointment, reminder and document-processing automations

These concepts and prototypes explore how AI agents, workflow automation and API integrations can streamline operational processes across construction, real estate and property management.

• Lead Intake + AI Triage + CRM
• Inbox Administration Triage + Task Log
• Invoice Chasing + Payment Follow-up
• Weekly KPI Digest + AI Manager Summary
• Personalised Outreach Agent
• Solution Brief Builder
• Workflow monitoring and operational alerts

• AI Short Video Generator
• Local Pro Renderer
• UGC Educational Video Pipeline
• Content Copilot
• PM Topic Radar
• AI Content Factory
• Trend-based social-content generation
• Comment Moderation Agent
• Lightweight Local RAG Assistant
• Local content engine and prompt-factory experiments

These projects represent a mix of complete prototypes, workflow experiments and reusable automation patterns. Selected projects will be cleaned, documented and released progressively.

• Maven Toys KPI Dashboard
• Maven Toys Store Performance Report
• Coffee Shop Sales Dashboard
• Competitive Marketing Analysis
• Corporate Spend Analysis
• Employee Hiring & History Report
• Executive Finance Report
• Artificial Intelligence Sample Dashboard
• ComLIMS KPI Dashboard

• Coffee Shop Sales Analysis
• Online Sales Tracker
• Sales Data Analysis
• Sales Charts & Dashboards
• Machine Order Data
• Gantt Project Planner
• Marketing Project Planner
• Milestone and Task Timeline
• Work Plan Template

• KPI card design
• Executive and operational reporting
• Time-series and category analysis
• Slicers and interactive filtering
• Revenue, profitability and transaction analysis
• Product and location performance
• Dashboard layout and information hierarchy
• Data cleaning and transformation
• Business insight generation

Selected dashboard projects will be prepared as dedicated public repositories with anonymised datasets, screenshots, methodology and business findings.

Hands-on experience and labs involving:

• Power Apps canvas applications
• Model-driven applications
• Dataverse tables and records
• Solution import and environment configuration
• Business-process flows
• Approval workflows
• Microsoft Teams, Outlook and Dataverse connectors
• Power Automate cloud flows
• Budget Tracker and Customer Success applications
• Machine Ordering and Procurement applications

• CAPM® certified by the Project Management Institute
• eCornell Project Management Professional program
• Technical project-management experience across SaaS, healthcare, fintech, energy and enterprise environments
• Experience coordinating distributed teams and cross-functional delivery
• SAFe and Agile delivery exposure, including PI planning and dependency coordination
• Experience with Jira, Confluence, Azure DevOps, Microsoft Project, ServiceNow, Salesforce and Power BI
• Hands-on development of AI, automation, backend and data products
• Hult Business Challenge finalist — product strategy, governance and technical project coordination

Experience supporting and coordinating technology initiatives involving:

• SaaS platforms and digital products
• Healthcare systems and data-sensitive environments
• Energy and utilities programmes
• Fintech, checkout and payment-related products
• Enterprise workflow and process improvement
• Agile and SAFe delivery environments
• Technical documentation, dependencies, risks and stakeholder communication

Additional experience across:

• Business development
• Event and production coordination
• Social-media and data operations
• AI training and evaluation
• Customer and operational workflows

• CAPM® — Project Management Institute
• Project Management Professional Certificate — eCornell
• Additional AI, automation, Python and technical certifications in progress

• BBA in Management — Hult International Business School
• RNCP Level 7 programme in IT Project Management — in progress
• Additional studies in law, economics, management and science

• Advanced Python
• Java
• JavaScript
• API architecture and reusable backend patterns
• Testing and CI/CD

• Advanced SQL
• PostgreSQL
• Data modelling
• ETL and analytics engineering
• Advanced Power BI

• Voice-agent architecture
• Streaming speech systems
• RAG
• Vector databases
• MCP
• Agent orchestration and tool use
• Model evaluation and latency optimisation

• Linux
• Docker
• Cloud deployment
• Kubernetes
• Production monitoring and observability

• Release the AI Phone Ticket Agent Community Edition
• Add a real voice layer and telephony integration
• Improve latency and streaming interactions
• Publish the Kickstarter Success Analysis
• Prepare selected Power BI and automation projects for GitHub
• Add screenshots, demos and architecture diagrams

• Generic CRM and scheduling connectors
• Email, SMS and technician-notification workflows
• Stronger automated testing and CI/CD
• PostgreSQL and durable workflow state
• More reusable AI-agent and automation components
• Hospitality marketplace MVP

• Production-ready multi-client architecture
• Modular voice, CRM and PBX integrations
• Advanced retrieval and company knowledge systems
• Product analytics and operational dashboards
• Cloud and container-orchestration deployment

Public contact is intentionally limited to GitHub and LinkedIn.