For founder-led build sprints
Theme

ArpitKhandelwal

Ship the AI/backend piece without hiring a full team.

Scoped APIs, agents, automations, dashboards, and handoff docs in 2-6 week sprints.

See shipped systems

Primary path: X DM.

Fast scope
Weekly demos
Production path
Arpit Khandelwal

Best fit

Ambiguous AI/backend work that needs to ship

Theme switcher

Clean sales page for founders who need a finisher.

Theme

What I build

Senior execution for the awkward middle.

AI agents and automation

MCP servers, RAG, browser automation, tool use, and messy workflow execution.

Backend systems and APIs

Auth, dashboards, ingestion, API orchestration, Postgres/MongoDB, and production glue.

Privacy and crypto infra

Solana, Arcium, ZK, Helius, vaults, micropayments, and privacy experiments.

Good fit / bad fit

Stronger yes by making the no obvious.

Good fit

AI tools, browsers, memory, retrieval, or automation.

Backend/API prototypes that need a production path.

Auth, data, dashboards, payments, agents, or infra glue.

Bad fit

Pure landing-page polish.

Vague ideas without scope, users, or decisions.

Meeting-heavy discovery with little shipped code.

Sprint configurator

Turn the ask into a brief.

Choose the sprint shape. Copy the DM.

Work type

Timeline

Current state

DM brief

Hey Arpit, I need help with a build sprint.
Goal: a founder-led AI/backend sprint
Work type: AI agent
Timeline: 4 weeks
Current state: Prototype exists
Blocker:
Stack:
Can you help scope what can ship first?
Send by email

Build sprint

A short loop around a shipped outcome.

Built for teams that know the product direction and need the risky AI/backend piece shipped.

Week 0

Scope the path

Turn the fuzzy ask into interfaces, risks, and a sprint target.

Weeks 1-4

Build the core

Ship APIs, agents, integrations, data stores, and product surfaces.

Cadence

Demo every week

Working demos, tradeoff notes, and clear next moves.

Close

Handoff cleanly

Merged PRs, setup notes, operating context, and next steps.

Operating proof

Evidence before adjectives.

2-6

week build sprints

Focused execution for startups that need a useful system shipped.

110

authored work commits

Local Reskilll repo activity across two author identities.

85

public GitHub repos

AI, crypto, automation, backend tooling, and experiments.

503

CP practice commits

Competitive-programming activity across major practice tracks.

Case studies

Proof through shipped work.

Click a row for the deeper proof.

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Open
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Open
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Open
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Open
05
Open
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Open

Architecture map

Where I plug into the stack.

Selected layer

LLM

Tool contracts, memory, retrieval, and product constraints around the model.

Swiggy MCP ServerMouse Cursor AI

Ask the portfolio

A tiny local agent over the proof.

Local, fast answers from the proof on this page.

Answer

Yes. The strongest proof is the Swiggy MCP server work: Playwright-backed browser sessions exposed through an MCP-style control layer for an AI concierge.

Proof timeline

The through-line.

HPE

Enterprise security tooling and microservice integrations around DAST surfaces.

Avici

AI concierge infrastructure for ordering, booking, and task execution.

Reskilll

Auth, profiles, CMS, judging, submissions, and dashboards.

Public labs

Agent payments, private payroll, encrypted games, indexing, and automation.

Now

AI/backend build sprints for teams that need senior execution.

Portfolio as API

A developer-native hire signal.

Inputs, timeline, outputs, and proof in one static shape.

await hire("Arpit", {
  mode: "Founder",
  sprint: "AI agent",
  timeline: "4 weeks",
  output: ["scoped plan", "merged PRs", "weekly demos", "handoff notes"]
});

Lead magnet

AI backend sprint checklist.

01

Name the user-facing outcome.

02

List external systems.

03

Demo the riskiest workflow first.

04

Define auth, data, and logs.

05

Ship weekly PRs, demos, and notes.

Experience

From enterprise security to agentic product work.

Freelance

2021 - Present

Software Developer

Automation pipelines, social bots, scrapers, creator tooling, LLM workflows, and crypto experiments.

Avici Money

Jan 2025 - Jul 2025

AI and Backend Engineer

AI concierge infrastructure for ordering, booking, and task execution.

Hewlett Packard Enterprise

2023 - 2024

Software Developer 1

Microservice integrations for WebInspect, Burp Suite, OWASP ZAP, and OpenVAS.

Toolbox

Fast across agents, APIs, and infra.

TypeScript

Product code

Next.js

App framework

Node.js

Backend runtime

Python

Automation

LLMs

Agent brains

MCP

Tool protocol

Playwright

Browser ops

Postgres

Data layer

Hono

API layer

Docker

Shipping

Kubernetes

Infra

AWS

Cloud

Cloudflare Workers

Edge runtime

Solana

Onchain apps

Arcium

Encrypted compute

ZK proofs

Privacy layer

Rust

Programs

Prisma

ORM

FFmpeg

Media pipeline

Web scraping

No-API work

Archive

Smaller builds, sharp edges, useful reps.

Proof