DEV PATEL®

AI ENGINEER / FULL-STACK BUILDER

VADODARA · INDIA

Dev Patel — AI engineer and full-stack builder

A retro-futuristic orange AI terminal in a dark engineering studio
STANDBYNO SIGNALPRESS POWER OR TAP TO BEGIN
RECEIVER / STANDBYSignal offline

Press power or select a channel to tune in

The project channels are waiting. Start the television with the power button, tap the screen, or tune directly through six selected builds below.

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  • Explore
Scroll to enter the lab

Beyond the screen / How I think

Useful software.
Intelligence where
it earns its place.

I turn unclear problems into working systems—then use data, automation and AI where they create a real advantage, not just a headline.

01

Understand first

Start with the person, the constraint and the actual job to be done.

02

Engineer the core

Build the data flow, product logic and interfaces as one connected system.

03

Make it obvious

A smart product still has to feel calm, fast and natural to use.

LIVE PROCESS
FRAME THE PROBLEM / BUILD THE SYSTEM / TEST THE EDGE CASES / SHIP THE USEFUL THING /

01 / Human in the loop

Meet the
operator.

Final-year computer science student. Full-stack builder. Moving deliberately toward AI engineering—one shipped system at a time.

Dev PatelDP / 027 AVAILABLE
DEV PATEL · VADODARA, INDIA · REMOTE FRIENDLY
OPERATOR LOG / CURRENT SIGNAL

I learn best by building the entire product, not isolated demos.

That has meant making recommendation logic matter to the interface, handling live state in a chat system, animating algorithms so their behavior is visible, and turning repeat scripts into usable tools.

I care about the full arc: understanding the problem, structuring the system, testing assumptions and making the final experience feel obvious.

Products shipped
06
Graduating
2027
Current vector
AI ENG.

02 / Build protocol

SYSTEMATIC, NOT STATIC

How an idea becomes a system.

The tools change. The discipline does not. Each build moves through the same five gates, with room to loop back when the evidence says so.

P-01

Frame

Turn a vague request into a clear user, constraint and success condition.

Problem map
P-02

Prototype

Find the smallest honest version that can prove the risky part of the idea.

Working proof
P-03

Engineer

Connect interface, data and backend with maintainable boundaries and useful feedback.

System core
P-04

Evaluate

Test behavior, edge cases and—when AI is involved—the quality of the output itself.

Evidence
P-05

Ship

Polish the details, deploy the product and learn from how it behaves in the real world.

Live product

03 / Capability matrix

Built across
the whole stack.

A practical toolkit shaped by shipped projects. Strongest in product engineering, expanding into data and applied AI.

DEV_SYSTEMS / SKILL_SCAN14 SIGNALS DETECTED
BUS_01

Build

PY
Python
Most days
JS
JavaScript (ES6+)
Most days
RCT
React.js
Most days
NODE
Node.js / Express
In projects
PMPT
Prompt Engineering
AWS certified
BUS_02

Engineer

PND
Pandas / NumPy
In projects
TWX
Tailwind CSS
Most days
WSK
Socket.io / WebSockets
In projects
MDB
MongoDB
In projects
CPP
C / C++ & DSA
Coursework
BUS_03

Explore

CNV
HTML5 Canvas API
In projects
GIT
Git / GitHub / Linux CLI
Daily
SQL
SQL
Basics
AWS
AWS
Training

04 / Signal log

TRAJECTORY ACTIVE

Progress leaves a trace.

Software foundations first. Applied AI next. This is a record of steady motion—not a claim of overnight expertise.

01
2023 — 2027

B.Tech, Computer Science Engineering

Parul University, Vadodara · CGPA 7+/10

Final-year CSE student. Coursework on the record: Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks and OOP.

02
2024 — Present

Freelance Web Developer

Vadodara, Gujarat · Remote

Delivered small client projects — landing pages, portfolio sites, simple tools — owning the process from initial brief through deployment. Learned to translate vague requirements into working products.

03
2025 — Present

Independent Builder

Six full-stack projects, self-directed

Six projects shipped end-to-end with no tutorials and no starter templates. Most skills on this page were acquired by building, breaking and fixing.

04
2026 — Now

Moving toward AI engineering

Generative AI & prompt engineering coursework

Deliberately building an AI/ML foundation on top of an existing software engineering base. Currently looking for an internship where both get used from day one.

LEARNING ARCHIVE / VERIFIED INPUTS
5 RECORDS
REC-01July 2026

Foundations of Prompt Engineering

AWS Training & Certification

Prompt design patterns, model behaviour and evaluation for production LLM work.

REC-02July 2026

What Is Generative AI?

LinkedIn Learning

Generative AI tools, model families and applied AI fundamentals. 2.00 CPE credits.

REC-03July 2026

Getting Started with Generative AI

IBM SkillsBuild

IBM SkillsBuild digital badge covering generative AI foundations.

REC-04May 2024

Kaggle — Python

Kaggle (Colin Morris & Alexis Cook)

Core Python for data work — functions, lists, loops, working with external libraries.

REC-05May 2024

Kaggle — Intro to Programming

Kaggle (Alexis Cook)

Programming fundamentals, the first entry on the record.

CURRENTLY LOADING

Google AI / IBM AI Fundamentals / Microsoft Azure AI Fundamentals