Realisier Labs
Founder-led AI delivery

Sachin Shinde.

25+ years from Microsoft internal tools to production AI systems. He architects every Realisier engagement.

Sachin Shinde
His shipped systems
25+ yearsproduction software
Tens of systemsAI in production
$1.79Mcart-recovery opportunity modeled
US enterpriseMicrosoft · Humana · Achilles
MSc Computer Science · Pune UniversityPMP Project Management InstituteCSM Certified ScrumMaster · Scrum Alliance
Track record

Enterprise first. AI second. Production always.

The architecture judgment behind our AI systems was built in US enterprise software.

  1. 2015 – now11 yrs
    Realizer Technologies (now Realisier Labs Pvt Ltd), Pune · Lead Architect / AI Solutions Lead

    Architected and shipped the AI and platform systems behind anchor US clients MineralView (since 2019) and BOLD Precious Metals (since 2021).

  2. 2013 – 20152 yrs
    Achilles, Abingdon UK · Technical Solution Provider

    Configurable questionnaire platform; sub-2-second search on Couchbase.

  3. 2010 – 20122 yrs
    Humana, Louisville KY · Technical Lead

    ICD-10 remediation and 4010→5010 EDI in regulated US healthcare.

  4. 20091 yr
    Armada IDW, Pittsburgh PA · SSRS Report Developer

    Reporting stack for industrial data warehouse.

  5. 2007 – 20092 yrs
    Humana, Louisville KY · Senior Developer

    ASP.NET and SQL Server in regulated US healthcare.

  6. 2004 – 20073 yrs
    Microsoft, Bellevue WA · Senior Developer

    Internal tools across web services and reporting stacks (ASP.NET, WCF, SSIS, SSRS). Delivered the Code4Bill project for Bill Gates' India visit on a compressed timeline.

  7. 2001 – 20043 yrs
    Early career

    Golfstats · Dana (Toledo, OH) · Sai Infotech (Pune). MSc Computer Science, Pune University (2002).

Working stack

The stack stopped being the hard part.

AI collapsed the cost of picking up a language or framework. Knowing what to build, where it breaks under real load, and who signs off on it did not get easier. This is what he ships with today, not a limit on what he will work in.

Claude API / LLM integration · since 2023 LangGraph / agentic pipelines · since 2024 Python (FastAPI, Playwright) · since 2022 Next.js / React · since 2021 .NET 1.0 → 8 · 22+ yrs SQL Server 2000 → 2022 · 22+ yrs WCF / Web Services · 15+ yrs SSIS / SSRS · 12+ yrs Ahrefs API v3 · since 2023 Couchbase · 4 yrs
From Sachin

Production lessons worth sharing.

The practical judgment behind the systems, not generic AI commentary.

AI pilots fail after the demo

The hard work begins when a model meets live data, exceptions, cost limits and the people responsible for the outcome.

Human approval is a design choice

Automate aggressively, but retain human judgment where a message, decision or exception can change a customer relationship.

AI economics matter in production

Model choice, token use, latency and observability determine whether an AI workflow is useful at real operating volume.

More from Sachin on LinkedIn ↗

How one architect ships fast

His team is the leverage

You engage a senior architect. The 50+ person delivery team is why pilots move fast, not in quarters.

He architects

  • System design, guardrails, model strategy
  • Hands-on where the hard decisions are
  • Your direct technical counterpart

The team delivers

  • 50+ engineers, AI-first workflow (~2× output, measured internally)
  • Delivery managed by MD Manjusha Karpe
  • Partial US hours

Control stays with you

  • Plain, documented code in your repos, no proprietary runtime
  • Data stays in your infrastructure
  • Scoped pilot before any long engagement
Work with Sachin

Available for AI engineering engagements.

US companies · partial US hours · start with a scoped pilot.

Talk to Sachin