Krishn Kumar | AI Builder | AI Deploy Network

About Krishn

I’m a B.Tech Computer Science and Engineering student specialising in Cybersecurity, focused on building practical AI-powered systems that solve real operational problems.

My work explores the intersection of applied AI, workflow automation, backend engineering, and security-conscious system design. My flagship project, Route-Clear, focuses on AI-assisted document extraction, deterministic validation, controlled settlement workflows, human review, and auditable decision-making.

I’m interested in building reliable AI applications using Python, FastAPI, API integrations, and modern AI technologies, with an emphasis on validation, testing, security, and responsible automation.

I’m looking to collaborate with builders and organisations working on real-world AI implementations, contribute to meaningful projects, and pursue suitable paid implementation opportunities. I value reproducible engineering, transparent evaluation, and measurable outcomes over superficial demos.

Professional profile

Location: Lucknow, India
Time zone: Asia/Calcutta
Work mode: Remote
Availability: Available for Contract Projects
AI experience: 1+ years
Industry experience: 1+ years
Languages: English, Hindi
Working hours: 18:00-22:00
Typical response: Within 24 hours
Preferred engagement: Small (individual or single team)
Travel: No travel
Available in: India

Proven on the network

Implementation records and publicly available work, where published.

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

What Krishn builds

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

Specialisations

Agentic Workflow Automation

AI Evaluation & Testing

AI Security & Safety

Intelligent Automation

Multimodal AI

Builder-listed deployment types

Document Processing
Internal Business Automation
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Route-Clear: AI-Assisted Fulfillment Verification and Settlement Control

Route-Clear uses AI to extract fulfillment evidence from documents, then applies deterministic validation and controlled settlement rules. Human review, bounded payment-routing actions, and hash-chained audit logs support safer, traceable financial w

Capital Markets · Document Processing · Internal Business 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

Document Processing1 record
Internal Business Automation1 record
Workflow Automation1 record

Builder declared

Agentic Workflow Automation
AI Evaluation & Testing
AI Security & Safety
Intelligent Automation
Multimodal AI

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

No published evidence linked yet.

Builder declared

AWS
Amazon S3
Claude Code
Cursor
FastAPI
GitHub Copilot
Google Gemini
MySQL
Python
React
TypeScript

Industry experience

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

Capital Markets

1 published Deployment

Cybersecurity

Builder declared

IT Services & Systems Integration

Builder declared

Software & SaaS

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

Professional Certifications

Well credentialed

Quick Heal Cyber Security Analyst
Quick Heal
Issue date not specified
Credential ID: 2025/QH/CU15
Secure Coding Professional
Quick Heal
Issue date not specified
Credential ID: 50qStr5kLiHxQauVShY7Q
Quick Heal Certified System Administrator
Quick Heal
Issue date not specified
Credential ID: VBiHaFDasPdKUi8TTzPQUg

Ready to discuss your AI implementation?

Tell Krishn Kumar 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.