01/ Practice
Based in India, working globally.
Technical advice from someone who has built, scaled, and run the systems.
I work with teams when an idea needs a real execution plan, a system is slow or unreliable, scaling decisions are stuck, or a prototype cannot safely become a product.
02/ Services
When execution is unclear, I make the technical path concrete.
Bring me the product that will not scale, the system nobody can explain, the roadmap built on assumptions, or the technical decision your team keeps postponing.
From idea to an executable technical plan
Turn an idea, a rough prototype, or a loosely defined problem into a clear scope, architecture, risk map, and delivery sequence your team can use.
Architecture and scaling decisions
Understand where a system will fail, what actually needs to change, and which trade-offs make sense before spending heavily on infrastructure or rewrites.
Performance and reliability diagnosis
Trace slow, unstable, or difficult-to-operate systems through the application, database, infrastructure, deployment, and team workflow—not just the visible symptom.
Product rescue and modernisation
Assess fragile codebases, stalled products, and unclear architecture, then separate what should be kept, repaired, replaced, or stopped.
Hands-on technical leadership
Bring experienced judgment to architecture, reviews, team direction, vendor decisions, and delivery while staying close enough to the work to catch problems early.
AI-assisted development and automation
Integrate AI into development and operations with clear guardrails, or turn a convincing AI-built prototype into software that can survive production.
03/ AI-assisted development consulting
AI can accelerate development. It cannot replace engineering discipline.
Producing code is now the easy part. The harder work is creating a development system that protects architecture, quality, security, and maintainability while still capturing the speed AI makes possible.
01
Build the workflow
Integrate AI-assisted development into your company properly.
Move beyond individual developers experimenting with tools. I help you decide where AI belongs across planning, implementation, reviews, testing, documentation, and delivery, then define the guardrails that keep the team in control.
- Current workflow and readiness assessment
- Tooling, repository, and security guardrails
- Human review and quality-control practices
- Pilot rollout, team enablement, and useful metrics
02
Rescue the prototype
Your AI prototype works. Now what?
A convincing demo is not automatically a maintainable product. If you have reached the point where every change breaks something, nobody trusts the architecture, or the path to production is unclear, I can help you understand what you actually have and what should happen next.
- Architecture, code, dependency, and security audit
- Clear keep, refactor, or rebuild decisions
- Production-readiness and risk assessment
- A staged roadmap to stabilise, launch, and scale
A working prototype is a starting point, not a technical strategy.
Discuss your AI development workflow04/ Ways to work together
Independent judgment, close to the code.
I do the analysis myself and work directly with the people responsible for execution. You get the real constraint, the available trade-offs, and a route your team can act on—not a recommendation that disappears into a slide deck.
Discovery sprint
A focused engagement to clarify the product, architecture, feasibility, risks, and next decisions.
Fixed-scope delivery
A defined build, rescue, or modernisation project with clear outcomes and ownership.
Ongoing technical leadership
Fractional CTO guidance and hands-on technical oversight through a monthly engagement.
Technical or AI-readiness audit
An independent review of the system, team, risks, and high-value opportunities.
EdTech·MedTech·Manufacturing·Telecom·Infrastructure
05/ Experience
Over a decade spent close to the actual systems.
I have spent over a decade building software, leading technical delivery, operating production infrastructure, and making decisions that still had to work after launch.
That includes taking products from zero to more than 100,000 users, supporting systems with over 10,000 concurrent users, operating more than 20 production servers and services, and introducing AI automation that removed up to 1,000 hours of manual work each week. I have also run businesses and technical teams, so I understand the difference between a clever technical answer and one that can actually be funded, delivered, operated, and maintained.
View LinkedIn profileSelected experience
Evidence from systems that had to work in production.
06/ Working method
Analysis that ends in a decision, not a deck.
No corporate theatre and no vague transformation language. I inspect what exists, explain what is actually happening, and turn the diagnosis into a plan that can be executed.
- 01
Inspect
Look at the real system: code, data, infrastructure, delivery workflow, and operating constraints.
- 02
Diagnose
Separate the root cause from the symptoms, assumptions, and organisational noise around it.
- 03
Decide
Present the viable options, trade-offs, risks, and a clear recommendation in plain language.
- 04
Execute
Work directly, guide your team, or review delivery so the recommendation survives contact with reality.
07/ Insights
Engineering thoughts, without the thought-leadership theatre.
I write at LogCTL about software architecture, infrastructure, developer tools, AI agents, and the practical mess of building technology.
Read LogCTL08/ Common questions
A few useful answers before we speak.
01What size of engagement do you take on?+
Engagements can begin with a compact discovery sprint or audit and extend into a fixed-scope build, rescue project, or ongoing fractional CTO relationship. The first conversation is used to find the smallest useful starting point.
02Can you work with our existing technical team?+
Yes. I can work directly with your team, lead a mixed team, build personally, or bring in trusted specialists where the scope needs them. I remain technically involved in every model.
03Do you work outside India?+
Yes. I am based in Indore, Madhya Pradesh, India and work remotely with organisations in India and internationally.
04Can we discuss the project under an NDA?+
Yes. Confidentiality can be established before detailed product, system, or commercial information is shared.
05Can you take over a delayed or troubled product?+
Yes. I usually begin with a focused technical and delivery assessment, establish the real constraints, and then recommend a staged recovery plan before committing to a larger rebuild.
06Can you review a prototype built with AI coding tools?+
Yes. I can assess the architecture, code quality, security, data model, dependencies, tests, and operational readiness, then separate what is worth keeping from what needs to be redesigned before the prototype becomes a production product.
09/ Contact
Bring me the problem, not a polished brief.
Tell me what you are trying to build, what is not working, or which decision is holding the team back. I usually respond within two business days.
Indore, Madhya Pradesh, India · Working globally