TechJinni / Independent portfolio
I turn complex operational and business problems into practical digital products, AI-enabled decision systems, automation workflows, and enterprise delivery models.
11+ years in technology · approximately 4 years focused on AI · enterprise and startup delivery · global, remote collaboration.
Operating signal
Turning ambiguity into an executable delivery model.
11+ yrs
technology delivery
~4 yrs
AI product focus
Selected work
Working MVP / Active Product Development
Small service businesses manage staffing, hours, approvals, and payroll preparation across fragmented chats and spreadsheets.
Interactive Enterprise Prototype
Executive teams need a clearer path from operational signals and root causes to financial exposure, action ownership, and execution monitoring.
AI Product and Enterprise Implementation Experience
Distributed delivery environments need earlier visibility of dependencies, risk, health signals, and decisions across Jira and Azure DevOps.
Enterprise Transformation Programme
A platform transition must preserve delivery continuity, data integrity, traceability, adoption, and stakeholder confidence—not simply transfer records.
Enterprise Operating Model and Automation Implementation
Delivery governance is harder to act on when discovery, controls, reporting, and AI interpretation are disconnected.
MVP Specified / Under Development
Stock movements need timely, accountable operational entry while 1C UT remains the system of record.
Capabilities
01
Discovery, product definition, prototyping, validation, and practical AI-enabled workflows.
02
Requirements, prioritization, delivery planning, stakeholder alignment, and execution control.
03
Operating-model change, platform transitions, adoption, governance, and delivery continuity.
04
Risk visibility, dependency management, decision support, reporting, and scenario thinking.
05
Human-centred workflow automation that improves traceability, timeliness, and accountability.
06
Browser-based QA, UAT support, deterministic demonstrations, and iterative product learning.