Independent consulting on Upwork

Build what matters.
Make it work clearly.

AI, data, and software engineering for teams that need a thoughtful path from a hard problem to a useful result.

I’m Jonathan Rapisarda, co-founder of BioInfo AI. Explore my Upwork profile to discuss a project shaped around clear deliverables, careful verification, and a handoff you can use.

  • Applied AI
  • Data platforms
  • Software delivery
FREELANCER PROFILE UPWORK

HUMAN-LED · AI-ASSISTED

Jonathan Rapisarda

Co-Founder &
Agentic Systems Architect

  • AI systems
  • Data engineering
  • Software

Ways I can help

From an ambitious brief
to a useful system.

Bring a defined challenge or an early idea. The work starts by agreeing on the outcome, boundaries, access, and how we will know the result is useful.

01

Applied AI & automation

Practical AI workflows that connect models to real tasks, with deliberate human review and a clear place for the technology in the wider process.

  • Agentic systems and copilots
  • Retrieval and document intelligence
  • Workflow and process automation
02

Data & integrations

Data foundations that make information easier to trace, reconcile, and use—from source systems and APIs to reporting and analytical workflows.

  • Python, PostgreSQL, and Snowflake
  • Data pipelines and quality checks
  • API and system integration
03

Software engineering

Focused applications and technical tools built around the people using them, with attention to failure paths, accessibility, and maintainable delivery.

  • TypeScript, React, and FastAPI
  • Prototypes and internal tools
  • Testing and delivery acceptance

A deliberate way of working

Start with scope.
End with clarity.

Good engineering is not only about making something work. It is about understanding what should happen, checking the edges, and leaving the next person with a clear way forward.

Every project is different. Deliverables, timing, communication, review, and commercial terms are agreed before work begins.

  1. 01

    Define the useful result

    Clarify the problem, the people involved, available source material, constraints, and acceptance criteria.

  2. 02

    Choose the smallest sound approach

    Make architecture and tradeoffs visible before complexity turns into avoidable overhead.

  3. 03

    Build and verify together

    Connect implementation to the agreed requirements and check representative behavior, not only the happy path.

  4. 04

    Leave a usable handoff

    Explain what was delivered, how to use it, known limits, and the most sensible next step.

Beyond the profile

A broad technical practice.
One accountable partner.

Jonathan’s work connects enterprise data and AI architecture with independent software engineering.

His public résumé spans treasury, SAP finance, data engineering, and Snowflake alongside applications, applied AI, developer tools, and integration work. He leads requirements, architecture, priorities, and acceptance decisions with collaborators and coding agents.

Those examples describe technical scope and working methods; they are not presented as guaranteed outcomes for a future engagement.

Your next useful step

Let’s give the project
a clear starting point.

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