Services
Nine services. Pick the one that fits.
I run a small consulting practice focused on AI, Web3, and B2B startups. Nine services, each with a clear scope, a clear deliverable, and a clear price band. The 2026 hot ones: AI codebase to production (Lovable, Bolt, v0, Cursor + Supabase / Firebase / Convex), Supabase consulting, and Python & ML engineering. If you don't know which one you need, that's what the 30-minute call is for.
Fractional CTO
Senior technical leadership, 1-3 days/week. For pre-seed to Series B startups.
Learn more → ProjectForward Deployment Engineering
Senior engineers embedded to ship production AI agent systems.
Learn more → ProgrammeTeam Transformation
8-12 week programme to move engineering teams from AI-curious to AI-native.
Learn more → HotAI Codebase to Production
Take a Lovable, Bolt, v0, Cursor, or AI-generated codebase to production. RLS, Supabase, deployment, observability.
Learn more → HotSupabase Consulting
Production Supabase: RLS hardening, schema optimisation, edge functions, environment separation, migration.
Learn more → HotPython & ML Engineering
Production Python services, ML pipelines, MLOps, inference layer, observability, cost.
Learn more → ProjectAI Agent Infrastructure
Production agent runtime, safety (Substrate Pattern), observability, deployment.
Learn more → ProjectFederated Learning Implementation
Production FL systems. The practice of the author of Fed-Focal Loss (93 cites).
Learn more → ProjectRust Consulting
Performance, memory efficiency, async runtime, production hardening.
Learn more →FAQ
What consulting services does Dipankar Sarkar offer?
Nine core services. The 2026 hot ones: (1) AI Codebase to Production — take a Lovable, Bolt, v0, Cursor, or AI-generated codebase to production; (2) Supabase Consulting — RLS hardening, schema optimisation, edge functions, environment separation, migration; (3) Python & ML Engineering — production Python services, ML pipelines, MLOps, inference layer, observability; (4) Fractional CTO — ongoing senior technical leadership, 1-3 days/week; (5) Forward Deployment Engineering — senior engineers embedded to ship production AI systems; (6) Team Transformation — 8-12 week programmes to move engineering teams from AI-curious to AI-native; (7) AI Agent Infrastructure — production agent runtime, safety (Substrate Pattern), observability, deployment; (8) Federated Learning Implementation — production FL systems for healthcare, financial services, and privacy-sensitive use cases; (9) Rust Consulting — performance, memory efficiency, production hardening.
How much does Dipankar charge for consulting?
Fractional CTO engagements start at USD 8,000/month. AI codebase to production audits start at USD 5K; full engagements USD 25K-150K. Supabase consulting USD 5K-100K. Python ML engineering USD 5K-200K. Forward deployment and team transformation USD 25K-200K. AI agent infrastructure and federated learning USD 50K-300K. Rust consulting USD 30K-100K. The first 30-minute call is always free.
Can you take my Lovable / Bolt / v0 app to production?
Yes. This is one of the highest-leverage services in 2026. The engagement covers: code audit, RLS hardening (if Supabase), architecture refactor, environment separation, CI/CD, observability, and migration off Lovable Cloud if needed. 1-12 week engagements. India-based pricing is 30-50% lower than US/UK rates for equivalent work.
Does Dipankar work with companies outside India?
Yes. US and UK are the primary markets. EU, Australia, and Japan are active. India is available on request. Remote-first with quarterly in-person if India.
A 30-minute call, free, no obligation. If there's a fit, we'll figure out the engagement from there.
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