AI Deploy Network
Charan

AI Deploy Network / Builder

Charan

Student

IndiaballariFounderAvailable Now

Published evidence

1 AI Deployment

1 publicly identified

1 Case Study

Published implementation narrative

01

About Charan

AI & Machine Learning developer specializing in multi-agent architectures, RAG systems, and conversational AI. Experienced in designing and deploying end-to-end LLM applications using LangGraph, LangChain, FastAPI, and Streamlit. Certified in Oracle Agentic AI, with hands-on experience building stateful agent flows, multi-agent research tools, and intelligent data pipelines.

Professional profile

Location
ballari, India
Time zone
Asia/Calcutta
Work mode
Hybrid, Remote
Availability
Available Now
Industry experience
1+ years
Languages
English
Working hours
6-10 pm
Typical response
Within a few hours
Preferred engagement
Medium (multi-team programmes)
Travel
International travel
Available in
India

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes
  • Hours Automated10 hours

    period not specified

    Automated 10 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Charan builds

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

Specialisations

AI Agents

Conversational AI

Multi-Agent Systems

RAG Systems

Semantic Search

Builder-listed deployment types

  • AI Copilot
  • Process Automation
  • Workflow Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

CI/CD AI Code Reviewer & Security Guardrail

An automated GitHub webhook pipeline that intercepts pull requests, audits code diffs for security vulnerabilities and performance bottlenecks, and posts line-by-line review comments.

10 hours automated

IT Services & Systems Integration · AI Copilot · Process Automation · Workflow Automation

View Deployment

05

Implementation capabilities

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

Evidence-supported

  • AI Copilot1 record
  • Process Automation1 record
  • Workflow Automation2 records

Builder declared

  • AI Agents
  • Conversational AI
  • Multi-Agent Systems
  • RAG Systems
  • Semantic Search

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

    No published evidence linked yet.

    Builder declared

    • Agent Skills
    • DeepEval
    • Fathom API
    • GitHub Actions
    • Google Analytics
    • Hugging Face Transformers
    • OpenRouter

    07

    Industry experience

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

    IT Services & Systems Integration

    1 published Deployment

    Education

    Builder declared

    FinTech

    Builder declared

    08

    Case Studies

    Published narratives of implementation and results.

    Cybersecurity · AI Agent · Code Review Assistant · Internal Business Automation · Knowledge Assistant · Workflow Automation

    CI/CD AI Code Reviewer & Security Guardrail Agent

    An AI-powered automated code reviewer built into the CI/CD pipeline to eliminate developer code review bottlenecks, catch security vulnerabilities before production, and enforce consistent coding standards across engineering teams.

    Read case study

    09

    Trust & verification

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

    Community Member

    AI Case Studies verified

    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.

    • AI Case Studies Verified
    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?

    Tell Charan what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.