Naveen Ragunathan | AI Builder

About Naveen

I am a Python backend engineer focused on building AI-powered applications, conversational systems, and intelligent workflow automation.

My engineering experience spans backend API development, database systems, distributed data processing, and production software delivery. I have worked on real-time conversational voice AI systems involving audio streaming, telephony integration, speech processing, LLM orchestration, and automated business workflows.

I also bring experience in AI evaluation, where I assess model outputs against detailed technical instructions, structured quality criteria, and reliability requirements.

My technical interests include Python, FastAPI, LLM integrations, agentic workflows, conversational AI, and scalable backend architecture.

I enjoy working with product teams to turn AI capabilities into practical, reliable software that addresses real business problems.

Professional profile

Location: Chennai, India
Time zone: Asia/Calcutta
Availability: Available Now
AI experience: 2+ years
Industry experience: 3+ years
Working hours: 08:00-23:59 IST

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 Automated150 hours
period not specified
Automated 150 hours (period not specified)
Cost SavingsUSD 10,000
period not specified
Reduced operating costs by USD 10,000 (period not specified)
Revenue ImpactUSD 9,000
period not specified
Generated USD 9,000 additional revenue (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.

What Naveen builds

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

Specialisations

Agentic Workflow Automation

AI Agents

Conversational AI

Multi-Agent Systems

Builder-listed deployment types

Task Automation
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Real-Time Conversational Voice AI Backend with LLM Orchestration

Developed and deployed a real-time conversational voice AI backend using Python and FastAPI, integrating audio streaming, turn-taking logic, telephony, LLM orchestration, database infrastructure and production testing.

150 hours automated / per month · USD 10K cost savings / per quarter · USD 9K reported revenue impact / per quarter

Software & SaaS · Task Automation · Workflow Automation

View Deployment

Implementation capabilities

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

Evidence-supported

Task Automation1 record
Workflow Automation1 record

Builder declared

Agentic Workflow Automation
AI Agents
Conversational AI
Multi-Agent Systems

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

No published evidence linked yet.

Builder declared

Amazon Bedrock
Apify
Claude Agent SDK
CrewAI
FastAPI
LangChain
LangGraph
Langfuse
Python

Industry experience

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

Software & SaaS

1 published Deployment

Capital Markets

Builder declared

FinTech

Builder declared

Pharmaceuticals

Builder declared

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

Professional record and further evidence

Client Portfolio

Portfolio started

Suvok System
Agentic AI • Software & SaaS
India2026
Contributed to the development and delivery of production AI systems, including a real-time conversational voice backend supporting audio streaming, turn-taking, telephony integration and orchestration. Also worked on an autonomous B2B relationship management platform for prospecting, outreach and meeting scheduling, alongside distributed data processing pipelines handling over 400 million records. Developed and delivered production-grade FastAPI backend services for enterprise use cases.

Professional Certifications

Some recognition

LangChain Certified Developer
Deeplearning
Issued Sep 2025

Ready to discuss your AI implementation?

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