About MV.tech

Data, software and AI specialists, led by an engineer.

MV.tech is a data engineering, software development and AI consultancy founded by Meet Vaghasia in 2022 and based in Ahmedabad, Gujarat, India. We build cloud warehouses, reliable reporting, business applications and AI automation for companies worldwide. Our remote team works directly with your technical and business teams, with responsibilities and timezone overlap agreed before delivery starts.

  • Ahmedabad, Gujarat, India
  • Remote delivery worldwide
  • Founded in 2022
  • GSTIN 24BZMPV4008F1ZA

Founder

Meet the engineer behind MV.tech.

Meet Vaghasia — Founder & Lead Engineer

Meet is a senior data and AI engineer. His hands-on work covers Python and SQL pipelines into BigQuery, Snowflake, Redshift and PostgreSQL, enterprise analytics migrations off legacy databases and manual reporting, dimensional and semantic models behind Power BI, Tableau, Looker Studio and Streamlit, and AI automation built with RAG, Model Context Protocol servers and custom AI connectors. He is Toptal-vetted (Top 3% of applicants) and holds Google Cloud and IBM credentials.

That experience runs from enterprise reporting estates and financial data platforms through to on-chain analytics, which is why MV.tech treats reconciliation, access control, documentation and handover as part of the build rather than a later phase. He founded the company to give clients direct access to senior engineering without the layers, bench costs and hand-offs of a large consultancy.

How we operate

What to expect when you work with us.

Senior people, end to end

The engineers who scope the work build it, review it and hand it over. There is no junior bench behind the proposal and no account manager between you and the team.

Your hours, agreed in advance

India Standard Time overlaps every major business region for part of the day. We fix a collaboration window in your local time and keep decisions written down between calls.

A price tied to the work

Pricing is agreed against a written scope, or the capacity and duration of an embedded role. Deliverables, testing, documentation and support expectations are clear before you commit.

Scope before commitment

Every engagement starts with a first milestone, acceptance criteria and review points. You can judge the working relationship on something real before expanding it.

Careful with your data

Least-privilege access, separated environments and credentials handled the way you would expect from an engineering team that also runs production systems. See our delivery standards.

Honest about fit

If a problem does not need us, or needs something other than software, we say so on the first call. Long relationships come from useful advice, not from selling every project.

Experience

Shaped by work in demanding environments.

MV.tech is a compact company, but the experience behind it comes from enterprise, platform and product work: analytics modernisation programmes moving legacy reporting into a cloud warehouse, financial and operational data platforms where every figure has to reconcile, and AI automation connected to real business systems. Our engineers have delivered for organisations including Google, Volvo, BCW, RootstockLabs, Chainlabs, Toptal and Turing, directly or through vetted talent platforms. That background shows in how we treat data quality, access control, documentation and handover.

Our engineers have worked with

  • Google
  • Volvo
  • BCW
  • RootstockLabs
  • Chainlabs
  • Toptal
  • Turing

These names describe professional experience of the MV.tech team. They are not endorsements, current partnerships or sponsorships.

Company facts

The details buyers and procurement teams ask for.

Company identity
MV.tech. Our official website is mvtech.solutions and our company profile is MV.tech on LinkedIn. Use the domain, founder and Ahmedabad location to identify us when searching for MV Tech or MVTech.
Founded
2022
Founder
Meet Vaghasia, Founder & Lead Engineer. His Toptal profile and LinkedIn profile provide professional background; individual credentials are distinct from company certifications.
Team
10–15 specialists
Location
Ahmedabad, Gujarat, India, 380061. Remote delivery worldwide, with client visits when needed.
Registration
Registered for Goods and Services Tax in India, GSTIN 24BZMPV4008F1ZA. Invoicing currency and payment terms are agreed per engagement.
Services
Data engineering and warehouse migration, business intelligence, custom software, workflow automation, AI development (RAG, MCP and custom connectors), blockchain data analytics, offshore engineering teams, IT staff augmentation and technology recruitment. See service scopes and starting points.
Engagement models
A scoped project with agreed deliverables, consultants embedded in your team, or recruitment for a permanent role in your organisation. Availability, responsibilities and commercial terms are agreed for each engagement.
Working hours
Core hours in India Standard Time (UTC+5:30), with collaboration windows agreed per client for US, UK, European, Gulf and Asia-Pacific timezones.
Contact
contact@mvtech.solutions, +91 9409299016 or a 30-minute call. We respond to every enquiry, usually within one business day.

Where we fit

Bring us a workstream with a clear owner and a useful outcome.

Your data needs to be dependable

Reports disagree, refreshes fail or a warehouse migration is stuck. Start with one source-to-report flow, agreed metric definitions and checks your team can review.

Data engineering

A manual process needs a working system

Your team needs an application, an integration or an AI assistant connected to approved business information. Start with one workflow, its users and a way to test whether it works.

Find the right service

Your team needs specialist capacity

You have a backlog and a delivery lead, but need data, software or AI experience. Define the role, duration and collaboration hours; we confirm fit and availability before an engagement.

Embedded specialists

Talk to the team

See whether we are the right fit for your work.

Bring the problem, your current systems and the result you need. We will discuss a useful first milestone, who would own it and what we need to learn before estimating the work.