AI Deploy Network
SK

AI Deploy Network / Builder

Sachin Khatrani

Senior Software Engineer | Backend & Production RAG Systems

IndiaBengaluruSeniorAvailable Now

Published evidence

1 AI Deployment

1 confidential

01

About Sachin

Senior backend engineer with 5 years of experience building distributed systems, event-driven architectures and large-scale data platforms.

In my current role I built a production RAG system that processes 600K+ feedback records a year using text-embedding-3-small, pgvector semantic search and GPT-4o, with p95 retrieval latency under 1.8s and 60% less analyst triage effort. I also own an order and payment engine handling 200K+ daily transactions, and built a notification platform delivering 10M+ notifications a day.

Read more

Earlier, at Masters India and Crest Data Systems, I built usage-based billing, high-throughput APIs and terabyte-scale security telemetry ingestion.

Core stack: Python, Go, FastAPI, Kafka, PostgreSQL, Redis, AWS and GCP.

Professional profile

Location
Bengaluru, India
Time zone
Asia/Calcutta
Availability
Available Now
Industry experience
5+ years

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered. No publicly identified implementations are available to inspect.

Confidential work contributes to the implementation record, but client details remain private.

03

What Sachin builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Agentic Workflow Automation

AI Agents

AI Evaluation & Testing

AI Infrastructure & Platforms

Semantic Search

Builder-listed deployment types

  • AI Analytics
  • RAG System
  • Semantic Search

04

AI Deployments

Real AI implementations demonstrated through evidence.

1 Deployment is confidential. Only the limited public representation below can be viewed; client details and full records remain private.

No publicly identified Deployments are available to inspect.

01 / AI Deployment Confidential

AI Analytics Deployment — Food & Beverage

Built a production RAG system for a digital food-service platform that lets analysts search customer feedback semantically and receive AI-generated issue summaries, reducing analyst triage effort by 60%.

Food & Beverage · AI Analytics · RAG System · Semantic Search · GPT-4o · OpenAI Embeddings · PostgreSQL · pgvector

View limited public record

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

    No published evidence linked yet.

    Builder declared

    • Agentic Workflow Automation
    • AI Agents
    • AI Evaluation & Testing
    • AI Infrastructure & Platforms
    • Semantic Search
    • AI Analytics
    Show all Builder-declared capabilities
    • RAG System

    06

    Technology

    Technologies listed by the Builder, distinguished by published evidence.

    Evidence-supported

      No published evidence linked yet.

      Builder declared

      • AWS
      • Apache Kafka
      • Django
      • Docker
      • FastAPI
      • Go
      • Google Cloud
      • Kubernetes
      • LangChain
      • OpenAI Platform
      • PostgreSQL
      • Python
      • Redis
      • pgvector

      07

      Industry experience

      Published Deployments support the listed counts. Other industries are Builder declared.

      Cloud & Infrastructure Providers

      Builder declared

      IT Services & Systems Integration

      Builder declared

      Marketing & Advertising

      Builder declared

      Media & Entertainment

      Builder declared

      Software & SaaS

      Builder declared

      08

      Trust & verification

      A closer look at how this profile and its evidence are reviewed.

      Community Member

      Published evidence is reviewed against the AI Deploy Network Evidence Standard.

      How verification works
      Community

      Verified Builder

      Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

      How this is verifiedWhat the platform has established, and what remains builder-declared.
      Identity and organisation
      Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
      AI Deployments
      An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
      Business outcomes
      Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
      Evidence
      Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
      Currency
      Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
      Traceability
      Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

      The platform does not independently audit client systems or financial records. How this is verified

      Ready to discuss your AI implementation?

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