[ PROFILE / 01 ]

Hi, I'm
Anant Mishra.

I build production AI systems and the full-stack apps around them. Most of my work lives at the intersection of LLM agents, retrieval pipelines and scalable backends — the parts of an AI product that decide whether it actually works for real users.

Currently engineering at Athrise on a multi-agent RAG platform with avatar interfaces. Before that I was building motion-driven marketing sites at BanksBuddy. On the side I publish open source on NPM and ship MCP servers for creative tools.

I care about three things: latency, observability, and not lying to users. If your product is going to talk to humans, the words it says had better be grounded in your data and shipped fast enough to feel alive.

// Facts
Based
Noida, IN
Currently
Software Engineer @ Athrise
CodeChef
1400 rating
LeetCode
200+ solved
Open Source
lightweight-expression-detector / 109+ wkly installs
[ PRINCIPLES / 02 ]
P01

Ship the boring path first

Most AI demos break on edge cases nobody planned for. I build the unhappy paths before adding agents.

P02

Filter, don't trust

RAG is 90% retrieval design — chunking, metadata, filters. The model is the easy part.

P03

Streaming UX or it didn't happen

If the user is staring at a spinner for an LLM call, it feels broken. I default to streamed responses.

P04

Logs > guesses

Sentry, structured logs, tracing on every agent call. Production AI without observability is theater.

[ TIMELINE / 05 ]

Experience.log

Most recent first
E01 / Mar 2025Present
Remote
Software Engineer Intern

Fabapps Lab Pvt. Ltd. — Simply Cue / Athrise

  • Designed and optimized an LLM-powered AI avatar with a RAG pipeline using OpenAI APIs — latency cut by ~2s, support efficiency up ~30%.
  • Architected a secure, scalable Supabase backend with 30+ RLS policies, 25+ modular services and automated triggers across multi-tenant products.
  • Shipped production-grade UIs and workflows for admin dashboards and championship registration on Next.js, React, TypeScript, Tailwind and Supabase.
Next.jsTypeScriptSupabaseOpenAIPineconeLangChain
E02 / Jan 2025Mar 2025
Remote
Web Development Intern

BanksBuddy

  • Engineered a full-scale financial services site on Next.js + TypeScript + Tailwind + Framer Motion — bounce rate down ~25%.
  • Built dynamic loan and insurance pages with interactive motion + SEO tuning, producing a ~30% lift in organic traffic.
Next.jsTypeScriptTailwindFramer Motion
[ TOOLCHAIN / 04 ] // SYSTEM_LOAD

The Stack

CORE: 6 / OK
UPTIME: 99.97
/bin/zsh — anant@os● live
$
$./modules/lang.sh --list
[OK]
01 / Languages5 pkg
TypeScript
94
JavaScript
96
Python
80
C / C++
75
SQL
85
$./modules/fe.sh --list
[OK]
02 / Frontend5 pkg
Next.js
95
React
94
Tailwind
96
Framer Motion
82
shadcn/ui
88
$./modules/be.sh --list
[OK]
03 / Backend5 pkg
Node.js
92
Express
90
BullMQ + Redis
84
REST APIs
92
tRPC
70
$./modules/db.sh --list
[OK]
04 / Databases5 pkg
PostgreSQL
86
Supabase
92
MongoDB
78
Pinecone
90
Appwrite
75
$./modules/ai.sh --list
[OK]
05 / AI / ML6 pkg
OpenAI / GPT
92
Gemini
85
LangChain / Graph
88
RAG Pipelines
92
MCP
86
Vector Search
90
$./modules/ops.sh --list
[OK]
06 / DevOps & Infra6 pkg
AWS (S3 / EC2)
78
Docker
80
Linux
84
Git
95
Sentry
82
Vercel
92
agents.daemon: runningkernel: lang.runtime / v20.ltsshell: zsh 5.9 (x86_64)mem: freenet: connected
[ ENDPOINT ]

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