years across software, operations, architecture, startups, and delivery.
technology founder · product & platform architect
I turn complex ideas into structured digital products.
I am Daniel Vladescu. For more than 20 years I have turned unclear, data-heavy domains into clear specifications, platform architecture, and staged execution.
hands-on leadership across teams, resource planning, product execution, and technology direction.
public technical footprint across JavaScript, TypeScript, PHP, SDKs, backend kits, and DEX-related work.
01selected work
Products in progress — going live step by step.
01Demo soon
MomentRadar
MomentRadarSmart opportunity-alerts radar — fragmented event and source data becomes AI-scored, profile-matched opportunities.
AI · event intelligence · B2B
View briefthe consumer vertical
MyMoment
Events matched to the people in your life — your child's workshop, your teen's meet-ups, a solo cinema night. Privacy-first; no PII.
consumer · mymoment.tech
02Demo soon
Învățăm cu Teodor
At-home speech-therapy practice for children 3–7 — short, guided, playful steps, supervised by a speech therapist.
Speech therapy · Romania
View brief03In development
UndiGo
Where to go fishing in Romania — verified waters, clear rules and permits, and up-to-date conditions, all on one map.
Fishing · maps · Romania
View brief04In development
Dexy.
Read the tape, in the open — token intelligence that scans new tokens on Base and Ethereum and gives each a plain verdict: INVEST, PARTIAL, or NOT.
Crypto · Base + Ethereum
View brief05Research / Prototype
Semnal
Romanian-first applet platform for small, time-sensitive products — openings, reminders, proofs, documents, and local business signals.
Romanian-first · applet platform
View brief06Research / Prototype
Syntagma
SyntagmaResearch/prototype platform for secure embedded tools, governed marketplaces, and controlled third-party extensibility.
Research · marketplace · extensibility
View brief02proof in practice
Patterns I have already worked through.
Operational leadership with technical depth
Building and running delivery teams while staying hands-on with estimation, modernization, and architecture decisions.
BoostIT Hub · 2014 → 2026Digital identity and public-sector systems
Direction work where eGovernment processes, distributed ledgers, and self-sovereign identity had to become practical systems.
ConectX · 2016 → 2024Regulated and trust-heavy product thinking
Advisory where KYC/AML, identity, and market constraints shaped the product as much as the technology did.
CryptoCoin.Pro · 2018 → 2023From business process to software system
Translating planning, supply-chain, and management processes into working decision systems for enterprise clients.
Dacrise + engineering foundation03what I am useful for
Complexity translated into execution.
I am not only interested in "building a feature." I care about the whole machine: the product logic, users, incentives, data model, contracts, operations, integrations, risks, infrastructure, and what the system needs to survive later.
That makes my strongest work early in a serious product: when the domain is still unclear, when the business model and architecture are still connected, and when the team needs a shared map before it starts moving fast.
04services
Where I can help.
AI application development
AI-assisted products, domain-specific copilots, extraction workflows, human-in-the-loop review, source verification, and operational assistants.
Product and platform architecture
From rough concept to domain model, system boundaries, data contracts, workflows, roadmap, delivery stages, and technical decision records.
Custom software systems
SaaS platforms, APIs, internal tools, cloud applications, CI/CD, microservices transitions, and integration-heavy business systems.
Startup execution systems
Team setup, estimation models, delivery process, resource allocation, technical leadership, and operational discipline for early-stage products.
Data and public-source products
Platforms that connect fragmented sources, public data, APIs, maps, documents, user feedback, evidence, and structured product behavior.
Identity, blockchain, and compliance advisory
Digital identity, decentralized identity, KYC/AML, blockchain products, marketplace systems, and regulated platforms.
05when to bring me in
Useful when the problem is important, unclear, and has to become real.
Good fit
- You have a serious idea, but the domain model, user flow, data model, and MVP boundary are not yet clean.
- You need an AI workflow that will hold up in real operation, not a demo that stops at chat.
- You need senior product/technology judgment before committing budget, team, or architecture.
Not the right fit
- A pure design refresh with no product or system questions.
- A narrow task list where all decisions are already made.
- A project that needs inflated claims, shortcuts around compliance, or unclear ownership.
06current focus
AI-native platforms for real domains.
Domain-specific AI agents that work with structured data, not loose chat alone.
Vertical platforms where events, local data, public sources, maps, workflows, and recommendations become useful products.
Chat-first interfaces that make complex services usable without hiding how the system decides.
Spec-driven development where AI accelerates research, implementation, testing, review, and operations without replacing governance.
07engagement formats
Start with the shape of the problem.
Product architecture sprint
For early ideas or stuck products. We clarify intent, users, scope, domain model, risks, MVP boundary, system map, and the first execution plan.
Output: spec, roadmap, decision map.AI platform build
For teams that need a real AI-enabled workflow, not a superficial chat layer. We connect data, prompts, review, tools, UI, governance, and tests.
Output: working version, contracts, tests.CTO / product operator support
For founders or teams needing an experienced operator across architecture, delivery, hiring, estimation, technical debt, and product execution.
Output: sharper decisions, less drift.08method
Intent first, execution in stages.
Intent
Start from the outcome, the user, the business reason, and the non-goals.
Context
Map the constraints, existing systems, data, risks, teams, and dependencies.
Expectations
Define what "done" means — acceptance criteria, tests, evidence, and review checks.
Execution
Move in vertical stages — spec, architecture, code, tests, review, and a learning loop.
09selected background
The roles behind the work.
BoostIT Hub
Co-Founder & COO, previously CTO. Business operations, team building, estimation and delivery; monolith-to-microservices, CI/CD, cloud, and digital-identity work.
ConectX
Co-Founder & Technical Advisor. eGovernment, digital transformation, distributed-ledger and self-sovereign-identity direction.
Dacrise Informatics
CEO. Software consulting and strategic-planning systems for enterprise clients; specification, development leadership, and team building.
CryptoCoin.Pro
Technical Advisor. Crypto exchange / broker platform, trading workflows, and identity-hub direction.
Engineering foundation
Business intelligence, supply-chain and intranet applications, process visibility, and management decision systems.
contact
Useful conversations start with a clear problem.
Email what you are trying to change — I will help turn it into a system map, specification, platform plan, or implementation path. The more concrete the inputs, the sharper the first answer.
Open ICE intakeProject brief
A good first message does not need a full document. It needs enough signal to decide whether the next step is a spec sprint, architecture review, AI workflow build, or no engagement.
- What are you trying to change?
- Who will use it or be affected by it?
- What exists today?
- What constraints or risks are already known?
- What would make the first version worth shipping?