# Adimis - Aditya Mishra

> Adimis is the engineering practice of Aditya Mishra: an independent full-stack engineer with 5+ years of experience building production software end-to-end (web, mobile, desktop, and AI systems) for founders and B2B SaaS teams.

## Identity

- Brand name: Adimis
- Legal name: Aditya Mishra
- Role: Full-stack & AI engineer (independent)
- Location: India (works globally, async-first)
- Website: https://adimis.in
- Email: aditya.mishra@adimis.in
- X / Twitter: https://x.com/AdimisAi
- LinkedIn: https://www.linkedin.com/in/adimis-ai
- GitHub: https://github.com/adimis-ai
- Reddit: https://www.reddit.com/user/Current-Tip2688

## What Adimis does

Adimis builds complete software products end-to-end for founders and SaaS teams who want the engineering side fully owned. This includes architecture, implementation, infrastructure, launch, and post-launch iteration.

**Four primary services:**
1. **Production AI systems & Internal automation:** LangChain Deepagents, stateful multi-agent workflows, eliminating manual operations.
2. **Full product builds, zero to launch:** End-to-end architecture, build, and launch across web, mobile, and desktop.
3. **Graph RAG & AI Cost Optimization:** Indexing complex data (e.g., Neo4j), eliminating context window bloat, and reducing token usage.
4. **Codebase rescue & Scaling:** Fixing slow, brittle, or unmaintainable post-MVP codebases. Finding leverage points and shipping a stable foundation.

## Service offerings

- Monthly retainers: covering architecture reviews, implementation, async communication, and a response SLA.
- Fixed-scope projects: with a written spec, milestone sign-offs, and a 14-30 day post-delivery maintenance period.
- Engagement archetypes:
  - Founders (no engineering team yet) - acting as the technical owner from day zero.
  - Seed-to-Series A SaaS post-MVP - performance, scaling, AI features, codebase rescue.
  - Established businesses / agencies - bespoke internal tools, AI automation, cross-platform apps.

## Core technologies

- Frontend: Next.js (App Router), React 19, TypeScript, Tailwind CSS, Radix UI.
- Mobile: React Native, Expo, EAS Build/Submit, Reanimated 3, Expo Router.
- Desktop: Tauri (for lightweight, secure, cross-platform apps), Electron (when deep OS-level integration is needed).
- Backend: Django (Ninja, DRF, async views), FastAPI, NestJS, Express, PostgreSQL.
- AI / Agentic: LangGraph, LangGraph Deep Agents, Claude Agent SDK, LlamaIndex, DSPy, Ollama.
- Practices: prompt caching, durable Postgres checkpointing, Graph RAG with Neo4j, RAGAS evaluation, observability via LangSmith.

## Selected outcomes

- Series A SaaS (~400k MAU): reduced dashboard load from 4.2s to 380ms (91% reduction). p99 latency 12s → 1.1s. AWS cost reduced ~$8k/month. Delivered in 2 weeks with zero downtime.
- 7-person content marketing agency: replaced manual operations with a LangGraph Deep Agents stack covering lead qualification, onboarding, content briefs, reporting and invoicing. Manual hours 210 → 42/month; lead response 2–3 days → <15 min; ~$12.4k/month operator-time freed.
- 10-person marketing agency: 90% drop in OpenAI token usage by implementing Graph RAG with Neo4j and LlamaIndex.

## Frequently asked

Q: You're an independent engineer. What happens if project scope expands or you're unavailable?
A: Three commitments in writing before the engagement starts. (1) Your code lives in your repo from day one - not mine, not a sandbox. (2) Architecture notes, runbooks and ADRs land in the repo as the build progresses, so anyone can pick up where I left off. (3) I maintain a tight network of vetted software and AI engineers. If project demands increase or for coverage, we can seamlessly onboard specialized talent, always with your approval. For long unplanned absences, retainers prorate and product timelines get a written reset.

Q: Most of your case studies are anonymized. How do I verify any of this is real?
A: Active client work is under NDA, so logos and dashboards don't go on a public landing page. Verification is handled through technical deep-dives on our scoping call. The metrics (4.2s → 380ms, $8k/mo AWS reduction, 210 → 42 manual hrs, 90% drop in LLM token usage, etc.) are documented with sufficient detail that the underlying methodology can be examined and validated without revealing sensitive client identities. Anonymized written case studies will land on the blog as clients clear them for publication.

Q: How do you handle scope changes and surprises mid-project?
A: Fixed-scope work has a written spec and milestones; in-scope changes are absorbed, out-of-scope changes get a written change order with a delta estimate before any code is written. Retainers are a fixed monthly capacity, so scope shifts week-to-week without ceremony - but I'll flag it in the weekly demo if anything is sliding. You never get a surprise invoice.

Q: I'm in the US / EU. Will the timezone gap slow us down?
A: No. My workflow is optimized for execution. I reserve 8 AM – 4 PM IST for 'Deep Work' (undistracted engineering). I then maintain a dedicated 'Sync Window' (6 PM – 10 PM IST) for live collaboration with US Eastern and European teams. Outside these windows, we work async-first: written daily updates, durable decisions in the repo, and Loom recordings instead of meetings.

Q: Why LangChain + LangGraph instead of building agents from scratch?
A: LangGraph gives you stateful multi-agent graphs, conditional edge branching for human-in-the-loop checkpoints, durable Postgres checkpointing so long-running tasks survive restarts, and built-in observability via LangSmith. Building those from scratch is a six-month tax for no advantage. When a client specifically wants the Claude Agent SDK as the harness, I run that instead. For enterprise intelligence and minimizing LLM costs, I pair these with LlamaIndex and Neo4j for Graph RAG.

Q: What does a typical engagement look like?
A: Step 1 - you send a paragraph through the form. Step 2 - within 24 hours I reply with either a 30-minute scoping slot or an honest 'this isn't my lane, here's who I'd ask.' Step 3 - on the call we scope concretely: outcome, constraints, timeline, and technical validation. Step 4 - within 48 hours of the call, you get a written proposal with milestones, exit terms, and a start date. Step 5 - kickoff: NDA / MSA signed, repo access, weekly demo cadence locked.

Q: Do you sign NDAs? Can you work inside our existing security and compliance setup?
A: Yes to both. I'll sign your NDA and MSA before the first technical call. I've worked inside SOC 2 and GDPR-bound environments - SSO, hardened laptops, VPN-only access, access logs, repo-side secret scanning. If you have specific compliance constraints (HIPAA, regional data residency, on-prem inference), bring them to the scoping call and I'll tell you honestly whether I'm the right fit.

## Canonical pages

- / - landing page (services, recent work, stack, contact form)
- /privacy - privacy policy
- /terms - terms of service
- /sitemap.xml - sitemap