AI Engineering
LLM-backed features that behave: prompt architecture, structured output, retry and fallback paths, and validating what the model actually returned before it reaches a user.
Open to new projects · Remote worldwide
Shubh Patel Full-Stack AI Engineer
Building AI-powered products from idea to production.
I build AI applications, SaaS platforms, business systems and modern web applications — including the REST APIs and scalable backend architecture underneath them. I take a product from the first data model to a live deployment, and I stay accountable for how it behaves once real users arrive.
- In production
- Trendorabuy · SteerHire
- Academics
- Diploma CE @ GTU · 9.58 SPI
- Core focus
- AI Agents · SaaS · Computer Vision
- Role
- Full-Stack AI Engineer
- Education
- Diploma CE @ GTU (9.58 SPI)
- Focus
- AI Agents, SaaS, Computer Vision Systems
- Primary stack
- Laravel · Next.js · MySQL · Supabase · Gemini
- Infrastructure
- AWS · Nginx · Vercel · HTTPS
- Engagement
- Direct, remote, end-to-end delivery
01 About
I build systems, not just screens.
I'm Shubh Patel, a Full-Stack AI Engineer. Most of my work looks less like a website and more like a system: multi-tenant database schemas, role-based permissions, offline-capable clients, and AI pipelines that have to behave predictably even when the input is messy.
I've built and shipped two products end to end. Trendorabuy is a multi-tenant restaurant operations platform running on Laravel and AWS, with an offline-capable POS, QR table ordering and a kitchen display system. SteerHire is an AI interview platform on Next.js, Supabase and Google Gemini that reads a candidate's resume and conducts an adaptive voice interview. On both, I handled the product thinking, UI/UX, frontend, backend, database design, API layer, deployment — and everything that broke afterwards.
The parts I care most about are the ones users never see: how the data is modelled, what happens when the network drops mid-transaction, and whether a feature still holds up when a second tenant, a hundredth concurrent order or an unexpected resume format shows up.
I work directly with the people who own the product. Short feedback loops, decisions written down before code, and a codebase you can hand to another developer without an apology.
- AI Agents
- SaaS platforms
- Computer Vision
- Full-stack systems
- REST APIs
- Backend architecture
- Database design
- Cloud deployment
02 Core expertise
Eight areas I'm accountable for.
Not a list of things I've read about — these are the layers I design, write and deploy myself on real products.
Full-Stack Development
One person across the entire request — interface, application layer, and a schema that was designed before the first controller was written.
SaaS Architecture
Multi-tenant data isolation, role-based access control, tenant-scoped configuration, and the plumbing that lets one deployment serve many businesses safely.
Backend Engineering
Domain modelling, background jobs, transactional integrity, caching, and the unglamorous reliability work that keeps a product usable on a bad day.
Frontend Development
Interfaces built for operators, not screenshots: fast, keyboard-friendly, readable under pressure, and sized for the device staff actually hold.
Database & Cloud
Relational schema design and indexing in MySQL, Postgres through Supabase, embedded SQLite for offline clients, deployed on AWS, Nginx and Vercel.
API Development
REST APIs with predictable contracts: validation at the boundary, consistent responses, authentication, and errors another developer can debug without messaging me.
Product Development
Turning an unclear business requirement into a scoped, buildable system — then shipping it and iterating on what real usage exposes.
03 Selected work
Two products, shipped end to end.
Both are live. Both were designed, built, deployed and maintained by me — architecture, interface, database and infrastructure included.
Production platform · Restaurant operations
Trendorabuy
Multi-tenant restaurant operations, POS and QR ordering platform
Live site
Private codebase
A production business system for restaurants that replaces a stack of disconnected tools with one platform: menus, table orders, billing, kitchen coordination and staff permissions. Built as a multi-tenant SaaS so a single deployment serves many restaurants, and built offline-first because service cannot stop when the internet does.
My role
End-to-end Full-Stack Engineer — I personally handled the complete startup development: UI/UX, frontend, backend, database, APIs, authentication, architecture and deployment.
Key capabilities
- Multi-tenant workspaces with per-restaurant configuration
- Role-based access control across owner, manager, cashier and kitchen roles
- Offline-capable POS backed by a local SQLite database
- Two-way synchronisation between terminal and cloud MySQL
- QR code table ordering from the guest's own phone
- Kitchen Display System driving the live order queue
- Menu, order and billing management in one pipeline
- REST APIs serving every client surface
Technology
- Laravel 11
- PHP 8.2+
- Blade
- MySQL
- SQLite
- JavaScript
- HTML5
- CSS3
- REST APIs
- AWS
- Nginx
- HTTPS
- Multi-tenant SaaS
- RBAC
- Offline sync
- QR ordering
- KDS
Case study Problem → Approach → Solution → Outcome
Problem
Restaurants run on thin margins and unreliable connectivity. Billing, table orders and kitchen coordination usually live in three tools that don't talk to each other, and any one of them failing stops service. Installing and maintaining a separate copy of the system per restaurant would not have scaled either.
Approach
Model a restaurant as a tenant rather than a customer record. Design the schema, permission model and configuration around tenant isolation first — then treat the POS terminal as a client that must keep working when the network doesn't, instead of a browser that assumes it will.
Solution
A single Laravel 11 deployment serving many restaurants, with role-based access control per tenant, QR-code table ordering for guests, a kitchen display system for the line, and an offline-capable POS backed by local SQLite that reconciles with the cloud MySQL database once connectivity returns.
My contribution
All of it. Product and UX decisions, Blade / CSS / JavaScript interfaces, Laravel application and domain logic, MySQL schema and indexing, REST APIs, authentication and RBAC, the offline synchronisation strategy, and the AWS + Nginx production setup with HTTPS.
Technology
Laravel 11, PHP 8.2+, Blade, MySQL, SQLite, vanilla JavaScript, REST APIs, AWS, Nginx, multi-tenancy, RBAC.
Technical outcome
Orders taken at the table, at the counter and on a guest's phone converge into one order pipeline. Billing and the kitchen display read from the same source of truth. A terminal that loses internet mid-service keeps taking orders locally and syncs afterwards, instead of stopping.
AI product · Hiring & assessment
SteerHire
AI interview platform with adaptive questioning and real-time voice
An AI product that runs the first round of an interview. It reads the candidate's resume, generates a role- and difficulty-specific interview, conducts it as a real-time voice conversation, probes answers that stay vague, and finishes with a structured scorecard plus written feedback for the candidate.
My role
End-to-end Full-Stack Engineer — interview flow design, resume parsing, prompt and scoring architecture, the real-time voice layer, data model, interface and deployment.
Key capabilities
- Resume PDF parsing to ground the conversation in real context
- Adaptive AI interviewing that reacts to the previous answer
- AI probing when a response stays generic or incomplete
- Real-time voice interaction rather than a typed form
- Structured hiring scorecards for comparable results
- Custom roles defined per opening
- Configurable interview difficulty
- Written feedback returned to the candidate
Technology
- TypeScript
- Next.js
- JavaScript
- HTML5
- CSS3
- Tailwind CSS
- Supabase
- Google Gemini AI
- Vercel
Case study Problem → Approach → Solution → Outcome
Problem
First-round screening is the most repetitive part of hiring. A fixed question list can't react to what the candidate just said, and a written test reveals very little about how someone reasons out loud or handles a follow-up.
Approach
Treat the interview as a model-driven state machine rather than a form. Parse the resume first so the conversation starts from real context, then let each answer decide what gets asked next — including a probe when an answer stays vague.
Solution
A Next.js and TypeScript application that ingests a resume PDF, builds a role- and difficulty-specific interview, runs it as a real-time voice conversation through Google Gemini, and returns a structured scorecard alongside written candidate feedback. Supabase handles authentication and persistence; the app is deployed on Vercel.
My contribution
Everything from the interview flow and resume parsing to the prompt and scoring architecture, the real-time voice interaction layer, the Supabase data model, the interface and the deployment.
Technology
TypeScript, Next.js, Tailwind CSS, Supabase, Google Gemini AI, Vercel.
Technical outcome
One configured role produces a repeatable interview that still adapts per candidate, and every session ends in structured, comparable output instead of an unstructured recording someone has to re-watch.
04 Open source
Code you can read.
My GitHub holds additional development projects with publicly available source. Listed exactly as published — language and description straight from the repository.
- Deepfake_detection_ Pinned Deep learning & Computer Vision system to identify face tampering and AI-generated synthetic media with high frame accuracy.
- interview-agent Pinned SteerHire AI interview engine: parses resumes, generates dynamic question trees, and conducts real-time voice interviews.
- virtual-steering-wheel Pinned Interactive hand-gesture virtual steering controller built using Python, MediaPipe 21-point tracking, and OpenCV.
- MaapBook Pinned Digital measurement logging and estimation application designed for field precision, instant area calculation, and cloud sync.
- SmartServe-AI AI-powered QR based restaurant ordering system — customers scan a QR code, browse digital menus, and order directly to their table.
- ReviewPilot Automated customer review aggregation and sentiment intelligence platform for modern SaaS and e-commerce stores.
05 Skills & stack
The tools, grouped by what they're for.
Chosen because they hold up in production, not because they trend well. Everything listed here has shipped in a real project.
Frontend
Interfaces that stay fast and legible under real use.
- HTML5
- CSS3
- JavaScript (ES6+)
- TypeScript
- Next.js
- Tailwind CSS
- Blade
Backend
Application logic, domain rules and the API surface.
- PHP 8.2+
- Laravel 11
- REST APIs
- Authentication
- Background jobs
Database
Schema design first, queries second.
- MySQL
- Supabase (Postgres)
- SQLite
- Schema design
- Indexing
- Migrations
AI & Computer Vision
AI Agents, model-backed pipelines and computer vision systems.
- Google Gemini
- AI Agents
- Computer Vision
- OpenCV
- MediaPipe
- PyTorch
- Prompt architecture
- Real-time voice
Cloud & DevOps
Getting it live, and keeping it live.
- AWS
- Vercel
- Nginx
- HTTPS / TLS
- Environment config
- Deployment
Architecture
Decisions made before the first migration runs.
- SaaS
- Multi-tenancy
- RBAC
- Offline synchronisation
- API design
06 Capabilities
Concept to production, without a handoff.
These seven stages are the same on every project I take. I'm responsible for all of them — there is no point where the work gets passed to someone else.
- 01
Understand
Sit with the actual problem: who uses this daily, what breaks today, what a successful version looks like — and what is deliberately out of scope.
- 02
Design
Data model and screens designed together. Interface decisions get much easier once the schema is honest about the domain.
- 03
Develop
Build in vertical slices so something real is usable early, and keep the codebase readable for whoever inherits it.
- 04
Integrate
Wire in the third parties — AI models, storage, mail, authentication, payments — with failure paths, not just the happy path.
- 05
Test
Exercise the flows the way staff and customers actually will: bad networks, wrong input, wrong permissions, two people at once.
- 06
Deploy
Provision the server, configure Nginx and HTTPS, separate environments, handle secrets properly, and release without drama.
- 07
Maintain
Watch it in production, fix what real usage exposes, and keep the product moving after launch instead of disappearing at handover.
07 Working process
How an engagement actually runs.
Six steps, in this order. You always know which one we're in and what you'll see at the end of it.
- 01
Discovery
A direct conversation about the business problem, constraints, timeline and budget. You get an honest scope back — including what I'd cut.
- 02
Architecture
Schema, tenancy model, API surface and infrastructure decided and written down before any feature code exists.
- 03
UI/UX
Flows and layouts designed for the people using this daily: clear hierarchy, fewer clicks, nothing decorative that costs speed.
- 04
Development
Iterative builds with working previews, so you review real software instead of reading status updates.
- 05
Testing
Functional passes across devices, permissions, edge cases and failure states before anything is called done.
- 06
Deployment
Production setup, domain, HTTPS, environment configuration, handover notes and post-launch support.
08 Why work with me
You're hiring the person who writes the code.
No layer of account managers, no work quietly subcontracted, no gap between the person who designed the schema and the person who deploys it.
Start a conversationEnd-to-end ownership
One person from schema to deploy — no handoff gaps and no "that's the backend developer's problem".
Shipped, not theoretical
Two products live in production, built end to end. Not tutorials, not clones.
AI and full-stack together
The AI feature and the system it lives inside are built by the same person, so integration isn't an afterthought.
Architecture that survives growth
Multi-tenancy, RBAC and offline sync designed in from the start rather than retrofitted under pressure.
Business-first decisions
I build what moves the business, and I'll tell you when a requested feature isn't worth the cost.
Direct communication
You talk to the developer writing the code. Plain updates, honest timelines, no translation layer.
Production mindset
Environments, secrets handling, HTTPS, error paths and handover treated as part of the build — not extras.
Maintainable handover
Readable code and documented setup, so another developer can pick it up without a rewrite.
09 Certifications & profile
Credentials and professional background.
Certificates are shown here as they're issued. My professional background, achievements and verified certifications are maintained on LinkedIn.
Academic Excellence
9.58 SPI
Diploma in Computer Engineering
Gujarat Technological University (GTU)
Earned top academic distinction with a 9.58 SPI, specializing in computer engineering fundamentals, computer vision, distributed systems, and modern AI development.
Verified Certifications & Credentials
My verified certifications, achievements, and technical credentials are documented and maintained on my LinkedIn profile.
View verified certifications on LinkedIn10 Contact
Have a product idea?
Let's build it.
Whether you're starting a new product, improving an existing platform, or building an AI-powered solution, let's discuss what you're trying to create.
- +91 77779 38338
- shubhmpatel77@gmail.com
- Availability
- Open to new projects · Remote worldwide