When is this consulting engagement a good fit?

When the workflow has clear business value and an accountable owner, your team can provide access to technical stakeholders and representative data, reliability, security, or scale matters beyond a prototype, and you want candid architecture decisions with a maintainable handoff.

When should I choose a different route instead?

If you only need a generic chatbot or prompt wrapper, there is no identified workflow, user, or success condition, the engagement depends on unbounded availability or undefined scope, or you need a large outsourced delivery team rather than senior specialist involvement, this consulting offer is not the right fit.

Is a mutual NDA available before reviewing our codebase?

Yes. A standard mutual NDA is executed before reviewing internal codebases, workflows, or proprietary data. Engagement-specific source code, agent configurations, eval datasets, and runbooks belong to your company after payment.

What timezones and working hours are supported?

Full IST business-day overlap is available for Indian teams. For US (EST/PST), Europe (CET), Middle East (UAE/KSA), and APAC teams, a minimum two-hour live overlap window is agreed before kickoff. WhatsApp and Indian mobile numbers are welcome.

How much do engagements typically cost?

Most fixed-scope engagements range between US$15,000 and $30,000, depending on scope and duration. Indian entities are invoiced in INR plus applicable GST; international engagements are invoiced in USD.

Independent AI Systems Consulting · Remote Worldwide

Hire a production AI agent and MCP consultant — Bengaluru & remote worldwide

Q: Who owns the code and intellectual property after the engagement?

100% of engagement-specific source code, agent configurations, eval datasets, and runbooks belong to your company after payment. Pre-existing tools and open-source dependencies stay excluded.

I help founders and engineering leaders design, build, and de-risk agentic AI, enterprise MCP integrations, RAG pipelines, and high-scale backend platforms.

Remote worldwide · Scheduled overlap for US, Europe, Middle East & APAC · In-person workshops in Bengaluru

Discuss an Engagement Review Consulting Offers See Production Systems

80%On-call ramp-up cut
95%CVE remediation effort cut
50K/minOrders at sub-200ms p99
20M+Users served at platform scale

Results come from systems built at Harness, CoinSwitch, and Blinkit — including Blinkit quick-commerce latency, CoinSwitch UPI and NetBanking at 20M-user scale, and Harness Bengaluru AI agents. Scope, constraints, and outcomes vary by engagement.

Consulting offers

Clear scopes for production AI and systems work

Start with a bounded sprint, implementation, or audit. Continue with advisory only when ongoing architecture support is useful.

Most fixed-scope engagements range between US$15k–$30k. Indian entities are invoiced in INR plus applicable GST.

01 · Fixed-scope sprint

Production AI Agent Sprint

Typical duration: 2–4 weeks

Turn a valuable internal workflow into a production-ready agent with explicit tool permissions, human approvals, failure handling, and measurable evaluations.

Best fit

Teams that have an AI proof of concept—or a repeatable operational workflow—but need a reliable implementation instead of another demo.

Typical deliverables

Workflow and failure-mode architecture
LangGraph orchestration and tool calling
Human-in-the-loop approval checkpoints
Sandboxed or permission-scoped execution
Regression evaluation harness and baseline
Observability, runbooks, and engineering handoff

LangGraph · Python/Go · tool calling · evals · observability

Discuss an Agent Sprint

02 · Scoped implementation

Enterprise MCP Implementation

Duration set after system and security discovery

Connect Claude, Cursor, and internal agents to company systems through secure, purpose-built Model Context Protocol servers.

Best fit

Engineering organizations that need governed AI access to internal APIs, repositories, databases, deployment systems, or observability platforms.

Typical deliverables

MCP tool and resource contract design
Authentication and role-based access control
Audit logging and traceable tool execution
Rate limits, timeouts, and permission boundaries
Claude, Cursor, or internal-agent integration
Deployment guidance, documentation, and handoff

MCP · RBAC · audit logs · rate limiting · internal APIs

Discuss an MCP Implementation

03 · Diagnostic audit

RAG Pipeline & Eval Audit

Typical duration: 1–2 weeks

Find why retrieval quality, groundedness, latency, or answer consistency breaks before committing to a costly rewrite.

Best fit

Teams with a working RAG system that lacks trustworthy quality measurements or performs inconsistently on real user questions.

Typical deliverables

Retrieval and chunking quality review
Hybrid search and reranker analysis
Representative evaluation dataset design
Automated retrieval and answer-quality baselines
Guardrail, citation, and failure-path review
Prioritized remediation plan with expected impact

RAG · hybrid search · rerankers · guardrails · automated evals

Request a RAG Audit

04 · Monthly retainer

High-Scale Backend & Systems Advisory

Monthly, with an agreed decision cadence

Senior architecture support for teams making consequential decisions about latency, scale, reliability, and technical direction.

Best fit

Founders, CTOs, and engineering leaders who need an experienced systems partner without adding a full-time architecture role.

Typical deliverables

Architecture and design-document reviews
Scale, latency, and capacity analysis
Reliability and failure-mode reviews
Critical implementation reviews
Technical roadmap and trade-off support
Regular founder or engineering-lead sessions

Go · Python · distributed systems · p99 latency · reliability

Discuss Systems Advisory

Why this partnership

Why engineering leaders work with Keshav directly

High-stakes AI and distributed systems need a senior architect on the critical path—from diagnosis through reviewed pull requests.

No middlemen

Direct Builder Ownership

Zero account managers. Direct Slack and video sync with the senior architect who designs and writes your code.

Direct Slack and video with the person writing the system
Senior architectural judgment from day one
No account managers between you and the work

Shipped at scale

Production-Tested Scale

Real enterprise AI agents at Harness plus CoinSwitch trading scale: 20M users, 50k orders/min, <200ms p99, and Blinkit latency.

Production AI agents shipped at Harness
CoinSwitch trading at 20M users and 50k orders/min
Sub-200ms p99 and Blinkit listing latency

Clean engagement

Bounded Risk & Complete IP Ownership

Defined sprints, explicit acceptance criteria, mutual NDA, and 100% client code and IP ownership.

Bounded sprints with explicit acceptance criteria
Mutual NDA before any internal system access
100% client ownership of engagement code and IP

Assurances

How we work together without friction

Enterprise standards designed to protect your code, intellectual property, and team velocity.

Mutual NDA Available

Standard mutual NDA executed before reviewing internal codebases, workflows, or proprietary data.

Direct Team Integration

Slack, Teams, or WhatsApp with your engineers for async and live collaboration. Indian numbers and IST-hour huddles are first-class, not a workaround.

100% Client IP Ownership

Engagement-specific source code, agent configurations, eval datasets, and runbooks belong to your company after payment. Pre-existing tools and open-source dependencies stay excluded.

Guaranteed Timezone Overlap

Full IST business-day overlap for Indian teams. For US (EST/PST), Europe (CET), Middle East (UAE/KSA), and APAC, a minimum two-hour live window is agreed before kickoff.

GST & International Invoicing

Indian companies receive GST-compliant domestic invoices in INR. International engagements are invoiced in USD. Billing currency is confirmed in the written scope.

Engagement process

From technical risk to a bounded plan

Fit call Clarify the business outcome, existing system, constraints, decision owner, timeline, working-hour overlap, and whether an in-person Bengaluru kickoff is useful.
Written scope Define deliverables, exclusions, dependencies, milestones, communication cadence, and acceptance conditions.
Build or audit Work directly with the relevant technical stakeholders and expose risks early.
Handoff Deliver code or findings, documentation, operational guidance, and a prioritized next-step plan.

Fit

Is this engagement right for your team?

Good fit

When this work is useful

The workflow has clear business value and an accountable owner.
Your team can provide access to technical stakeholders and representative data.
Reliability, security, or scale matters beyond a prototype.
You want candid architecture decisions and a maintainable handoff.

Not a fit

When to choose another route

You only need a generic chatbot or prompt wrapper.
There is no identified workflow, user, or success condition.
The engagement depends on unbounded availability or undefined scope.
You need a large outsourced delivery team rather than senior specialist involvement.

Start a conversation

Describe the system, risk, and outcome you need.

Whether you need a 2–4 week production agent sprint, an enterprise MCP server, or an architecture risk audit, reach out directly. I reply personally with fit, clarifying questions, and the smallest sensible next step.

Book a 30-Min Architecture Fit Call Email a Project Brief

Prefer a diagnostic first? Start with the RAG Pipeline & Eval Audit

WhatsApp and Indian mobile numbers are welcome. Fit calls default to IST business hours unless you name another timezone. GST invoices in INR, or USD for international entities.

I reply personally within 24 hours · Direct builder access