Bimari

hello, I'm

Sai Nitish Bimari

the practice

I build practical AI systems that survive production constraints: agentic workflows, function-calling pipelines, evaluation loops, secure API integration, and asynchronous orchestration. My background across full-stack engineering and technology leadership helps me translate ambiguous product needs into systems users can trust.

AI Engineer with 7+ years of experience building production-grade AI and software systems across Generative AI, LLM applications, RAG pipelines, and cloud-native full-stack platforms.

YouTube AutopilotSales & Inventory ManagementAmealioESAYYouTube AutopilotSales & Inventory ManagementAmealioESAY
AI ProductsOperational PlatformsProduct Leadership SystemsFull-Stack FoundationsAI ProductsOperational PlatformsProduct Leadership SystemsFull-Stack Foundations
AI Product BuilderEnd-to-End Full-Stack OwnerLead of Technology / CTOWeb Developer InternAI Product BuilderEnd-to-End Full-Stack OwnerLead of Technology / CTOWeb Developer Intern

selected work

Dive into the systemswhere the work still runs.

the path

How the work grew.

  1. 2019

    Started with shipped product surfaces

    Web Developer Intern

    I began with real web and mobile product work at Arawinz/ESAY, learning how UI, backend data, and industry-specific workflows meet in shipped software.

  2. 2021

    Built interfaces and grew into systems

    Frontend Developer

    At Envisionard, I started with product interfaces and quickly moved toward APIs, dashboards, integrations, and ownership beyond the screen.

  3. 2022

    Owned full-stack product execution

    Full-Stack Developer

    I worked across React, React Native, Node.js, MongoDB, Firebase, AWS, payments, POS, and dashboards, learning how product quality depends on the whole system.

  4. 2022-2024

    Led planning, people, and releases

    Project Manager

    I planned features, trained interns, introduced better tools, supported weekly issue releases and monthly feature releases, and helped the team grow.

  5. 2024

    Carried technology leadership responsibility

    Lead of Technology / CTO, Amealio

    I led and built across Amealio's product ecosystem: customer app, merchant/admin dashboards, POS, ONDC, payments, settlements, personalization, and cloud/startup-credit conversations.

  6. 2025

    Built a live operating platform from scratch

    Full-stack owner, family distribution business

    I designed, built, deployed, and still maintain a sales and inventory management platform that tracks real sales, stock movement, retailers, routes, collections, and reports.

  7. Now

    Building applied AI products

    MS AI + AI Product Engineer

    I am now combining my full-stack and leadership foundation with AI engineering, building products like YouTube Autopilot that use agents, workflows, jobs, security, and real product UX.

where it sits

Ownership, in the room.

I build the product surface

Dashboards, customer flows, admin tools, settings, analytics, onboarding, and mobile experiences that make complex systems usable.

Next.js, React, React Native, Flutter, Tailwind, Material UI

I wire the system behind it

APIs, databases, background jobs, auth, encrypted keys, integrations, webhooks, cloud storage, and performance improvements.

Node.js, FastAPI, MongoDB, Postgres, Redis, Firebase, AWS

I handle messy integrations

POS data, payments, settlements, OAuth, ONDC, YouTube APIs, maps, notifications, and third-party services with real operational edge cases.

Petpooja, Razorpay, ONDC, YouTube API, OAuth, Firebase

I lead people and delivery

I train interns, set goals, improve engineering practices, support releases, grow teams, and represent technical plans in business conversations.

10+ people led/trained, weekly fixes, monthly features, AWS/MongoDB credits

counted in production

  • 7+ yrs

    engineering experience

  • 10+

    people led and trained

  • $1M+

    AWS credits secured

  • 4+

    major integrations shipped

  • 65K+

    inventory units managed

  • INR 3L+

    sales tracked in production

  • ~90%

    API performance improvement

the stack

AI & LLM Engineering

Generative AIRAGAgentic AIFunction CallingStructured OutputsPrompt Engineering

AI Frameworks

LangChainLangGraphLlamaIndexRAGASLangSmithDeepEval

Frontend

ReactNext.jsReact NativeFlutterTypeScriptTailwind CSS

Backend

PythonNode.jsFastAPIExpress.jsFlaskgRPCREST APIs

Data & Vector Stores

PineconeWeaviatepgvectorFAISSPostgreSQLMongoDBRedis

Cloud & MLOps

AWSGCPAzureDockerKubernetesCI/CDGitHub Actions

Delivery & Leadership

OAuth 2.0JWTEvent-driven systemsAgile/ScrumMentorshipRoadmapping

now

MS Artificial Intelligence

Dec 2024 – Aug 2026 (Expected). The work beside the degree is deployed software: YouTube Autopilot, a live distribution platform, and tutoring.

teaching

Computer Science and AI/ML Tutor

University · Jan 2026 - Apr 2026

Delivered 50+ tutoring sessions across computer science and AI/ML topics.

Tutoring program

Let's buildthe next system.