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.
AI Product Engineer
I build AI products on top of full-stack, operational, and technology leadership experience.
I build AI products, operational platforms, and full-stack systems with product ownership and technology leadership experience.
My path moved from frontend work to full-stack systems, then project management, Lead of Technology / CTO responsibility, operational software, and now applied AI through my MS in Artificial Intelligence. I care about turning ambiguous product needs into robust systems people can actually use.
Oklahoma, United StatesFrontend Developer -> Full-Stack Developer -> Project Manager -> Lead of Technology / CTO -> MS AI Student -> AI Product Engineer
Builder Operating System
Product UX + AI workflows + systems + leadership
SaiAI Product
Product UX
AI workflows
APIs
Data
Integrations
Security
Teams
Delivery
6 yrs
product engineering growth
10+
people led and trained
4+
major integrations shipped
65K+
inventory units managed
INR 3L+
sales tracked in production
~90%
API performance improvement
Sai Nitish Bimari is an AI Product Engineer building AI products, full-stack systems, and operational platforms at bimari.org.
My Builder Arc
I did not arrive at AI from nowhere. I came through product pressure.
The story I want this portfolio to tell is not just that I know tools. It is that I kept taking on larger ownership: interface, backend, integrations, operations, people, releases, teaching, and now applied AI products.
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.
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.
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.
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.
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.
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.
What I Actually Own
I am strongest where product, systems, integrations, and leadership overlap.
My work is not limited to one layer. The strongest proof is that I can move from UI details into APIs, data models, third-party systems, team planning, and product delivery without losing the user problem.
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
Categorized Proof
Projects grouped by what they prove about me.
Instead of a flat list of projects, this portfolio separates my current AI direction, operational platforms, product leadership systems, full-stack foundation, and teaching/mentorship.
Current direction
AI Products
I am building deployed AI products that combine agents, workflows, interfaces, background jobs, credential security, and user-facing controls.
End-to-end business software
Operational Platforms
I build live internal systems where data integrity, workflows, roles, reporting, and production stewardship matter as much as the interface.
Lead of Technology / CTO ownership
Product Leadership Systems
I have led product execution under real constraints: team growth, release planning, integrations, performance, cloud credits, and business-critical dashboards.
Systems before AI
Full-Stack Foundations
Before focusing on AI, I built across web, mobile, APIs, databases, payments, maps, notifications, POS, dashboards, and operational tools.
Range and momentum
Early Work
Internships and freelance work shaped my speed, ownership, and ability to understand unfamiliar domains quickly.
Earlier shipped range
Local Fox
Part of the early work that built my speed, domain adaptability, and confidence working with real clients and product constraints.
Earlier shipped range
Hey Go - Goods & Passenger Transport
Part of the early work that built my speed, domain adaptability, and confidence working with real clients and product constraints.
Earlier shipped range
Mother Theressa Engineering College Website
Part of the early work that built my speed, domain adaptability, and confidence working with real clients and product constraints.
Earlier shipped range
Focus King Photography
Part of the early work that built my speed, domain adaptability, and confidence working with real clients and product constraints.
Technical communication
Teaching & Mentorship
While pursuing my MS in AI, I tutor computer science and AI/ML topics, translating difficult concepts into practical debugging, exam preparation, and code reasoning support.
Systems I Have Built
Three system stories: AI workflow automation, operational software, and product ecosystem leadership.
These visuals are intentionally system-oriented. They show how I think: workflows, dependencies, roles, data integrity, and operational control.
YouTube Autopilot: AI pipeline
Research
Script
Visuals
TTS
Edit
SEO
Upload
Sales & Inventory: operating flow
01
Product catalog
SKU, price, case pack
02
Inward stock
Supplier, invoice, warehouse
03
Inventory ledger
Balances, batches, movement
04
Retailer sale
Stock lookup, route, sale items
05
Collection
Payments, splits, outstanding
06
Reports
Trends, monthly overview
Production usage
Live internal system at distribution.bimari.org
Business scale
INR 3L+ sales tracked and 65,000+ inventory units managed
Ownership depth
Product, database, APIs, frontend, deployment, and maintenance
Amealio: product ecosystem
Amealioproduct ecosystem
Customer App
Merchant Dashboard
Admin Dashboard
POS
Payments
ONDC
AI Personalization
Analytics
I treated Amealio as an ecosystem: discovery, restaurant operations, payments, settlements, integrations, dashboards, personalization, and team delivery all had to connect.
Stack
A practical product stack, shaped by shipped work.
I list tools because they matter, but the real signal is that I have used them inside products with users, dashboards, integrations, payments, releases, and constraints.
AI + Product
AI workflowsChatbotsRecommendation logicAgent pipelinesPrompted systems
Operational Systems
Inventory workflowsSales trackingReportsRole-based accessProduction maintenance
Frontend
ReactNext.jsTypeScriptTailwind CSSMaterial UIBootstrap
Backend
Node.jsExpressFeathers.jsFastAPIPHPCodeIgniterFlask
Data + Infra
MongoDBMySQLPostgresRedisAWSFirebaseCloudflare R2
Mobile
React NativeDartFlutterPush notificationsMaps/location
Delivery
JWT/OAuthSwaggerJiraGitLoad balancersRelease planning
Now: Applied AI Product Engineering
My next chapter is about building AI that survives contact with real users.
I am pursuing my MS in Artificial Intelligence while building products that combine models, interfaces, jobs, credentials, data, and deployment. The goal is practical AI engineering: systems people can use, trust, and iterate.
Education
MS Artificial Intelligence, Oklahoma Christian University, Dec 2024 - Present
B.Tech Computer Science & Engineering, Mother Theressa College of Engineering & Technology, completed 2023
Teaching & Mentorship
Tutor, Oklahoma Christian University, Jan 2026 - Jul 2026
Supported 50+ student learning interactions across programming, AI/ML, debugging, and exam preparation.
Tutoring program