Prompt Engineering

Generative AI

LLM Integration

Automation

Prompt Systems

and Interfaces that

Turn Ideas into

Real

RJS

© Introduction
(WDX® — 02)
AI Student & Builder
© Introduction
AI Student & Builder
© Introduction
AI Student & Builder

Student

Builder

Prompt Engineering

Generative AI

Women

Driven by curiosity, powered by AI, and committed to building intelligent systems that push ideas from concept to reality.

Contact

Contact

© Featured Projects
(WDX® — 03)
AI & Web Builds
© Featured Projects
AI & Web Builds
© Featured Projects
AI & Web Builds

Everything here is real, working, hands-on project work — a voice-enabled browser assistant, a multi-provider automation experiment, and a full-stack web build. Learning by shipping, not by theory.sleek digital
realities — built with intent, speed, and visual clarity that attracts lot of peoples.

SEE WORKS

SEE WORKS

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Luke AI

Luke AI

(01)

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Voice AI / LLM

Luke AI

Luke AI

(01)

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Lights in darkness

AI-Assisted Automation

AI-Assisted Automation

(02)

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Lights in darkness

AI Automation

AI-Assisted Automation

AI-Assisted Automation

(02)

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Dark room with light through a window

Cineby

Cineby

(03)

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Dark room with light through a window

Full-Stack Web

Cineby

Cineby

(03)

© Skills
(WDX® — 04)
What I Work With
© Skills
What I Work With

Skills

(4)

Precise

Hands-On

Curious

Built to Learn

01

LLM Integration

Building prompt-based applications on top of Groq, Google Gemini, OpenAI, and Llama 3.3 70B APIs — from chat interfaces to task-specific tools.

02

Voice AI

Voice input and output with the Web Speech API, paired with fast LLM inference for real-time, hands-free interaction in the browser.

03

Web Development

JavaScript, React, Next.js, Node.js, Express.js, Tailwind CSS, Vite, and MongoDB — full-stack interfaces built and shipped end to end.

04

Automation & Tools

Zapier workflows, Discord and Telegram bot integration, and Git/GitHub — connecting AI models to the tools people actually use.

LLM Integration

Building prompt-based applications on top of Groq, Google Gemini, OpenAI, and Llama 3.3 70B APIs — from chat interfaces to task-specific tools.

Voice AI

Voice input and output with the Web Speech API, paired with fast LLM inference for real-time, hands-free interaction in the browser.

Web Development

JavaScript, React, Next.js, Node.js, Express.js, Tailwind CSS, Vite, and MongoDB — full-stack interfaces built and shipped end to end.

Automation & Tools

Zapier workflows, Discord and Telegram bot integration, and Git/GitHub — connecting AI models to the tools people actually use.

LLM Integration

Building prompt-based applications on top of Groq, Google Gemini, OpenAI, and Llama 3.3 70B APIs — from chat interfaces to task-specific tools.

Voice AI

Voice input and output with the Web Speech API, paired with fast LLM inference for real-time, hands-free interaction in the browser.

Web Development

JavaScript, React, Next.js, Node.js, Express.js, Tailwind CSS, Vite, and MongoDB — full-stack interfaces built and shipped end to end.

Automation & Tools

Zapier workflows, Discord and Telegram bot integration, and Git/GitHub — connecting AI models to the tools people actually use.

© Personal Profile
(WDX® — 05)
Learns by Building
© Personal Profile
Learns by Building
© Personal Profile
Learns by Building
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Black Man
Woman

I learn by building — a voice-enabled AI assistant, LLM integrations across providers, automation experiments, and full-stack web work. 

I learn by building — a voice-enabled AI assistant, LLM integrations across providers, automation experiments, and full-stack web work. 

I’m an Integrated MCA (Artificial Intelligence) student who learns by building. My recent work spans a voice-enabled AI assistant, LLM API integrations across multiple providers, an AI-driven automation experiment, and full-stack web development. I’m currently focused on prompt engineering and generative AI, and looking for an internship where I can apply and grow these skills alongside an experienced team.seamless workflow to deliver digital experiences that are thoughtful, fast, and built to perform.

SEE WORKS

SEE WORKS

© Journey
(WDX® — 05)
Education & Practice
© Journey
Education & Practice
© Journey
Education & Practice

B

u

i

l

d

.

P

i

c

k

P

l

a

n

s

.

B

u

i

l

d

.

Man On The Chair

Chennai, India

Parul University

2023 – 2027

Integrated MCA (AI)

Parul University

2023 – 2027

Integrated MCA (Artificial Intelligence)

India

Luke AI

Personal Build

Voice-Enabled Browser AI Assistant

Groq · Web Speech API

AI-Assisted Automation

Personal Build

Multi-Provider LLM Experiment

Groq · Gemini · OpenAI

Cineby

Personal Build

Movie Discovery Web Interface

React · Next.js

Currently Exploring

Now

Prompt Evaluation · RAG · Claude API

Ongoing

Parul University

2023 – 2027

Integrated MCA (Artificial Intelligence)

India

Luke AI

Personal Build

Voice-Enabled Browser AI Assistant

Groq · Web Speech API

AI-Assisted Automation

Personal Build

Multi-Provider LLM Experiment

Groq · Gemini · OpenAI

Cineby

Personal Build

Movie Discovery Web Interface

React · Next.js

Currently Exploring

Now

Prompt Evaluation · RAG · Claude API

Ongoing

Parul University

2023 – 2027

Integrated MCA (Artificial Intelligence)

India

Luke AI

Personal Build

Voice-Enabled Browser AI Assistant

Groq · Web Speech API

AI-Assisted Automation

Personal Build

Multi-Provider LLM Experiment

Groq · Gemini · OpenAI

Cineby

Personal Build

Movie Discovery Web Interface

React · Next.js

Currently Exploring

Now

Prompt Evaluation · RAG · Claude API

Ongoing

© Proof Notes
(WDX® — 06)
How I Work
© Proof Notes
How I Work
© Proof Notes
How I Work

Get in touch

Get in touch

I don’t want this portfolio to sound bigger than it is. The work here is student-built, hands-on, and specific: browser AI, LLM APIs, automation, and full-stack web interfaces.

Honest Scope

No inflated claims

Luke AI was built dependency-free in vanilla HTML, CSS, and JavaScript to test how far a client-side-only AI assistant could go with voice input and output.

Man B&W

Luke AI

Voice assistant build

The automation system connects Groq, Gemini, and OpenAI with Zapier plus Discord and Telegram to explore how LLMs can trigger useful workflows.

Black Man

Automation System

Local experiment

Cineby is the full-stack counterbalance: TMDb search and browsing, React and Next.js UI, Node and Express backend work, MongoDB, Convex, and ImageKit.

Woman Side Pose

Cineby

Full-stack web interface

Currently exploring Prompt Evaluation, RAG, and the Claude API. These are intentionally separated from confirmed skills so the portfolio stays precise.

Woman Laughing

Currently Exploring

Learning in progress

© Exploring
(WDX® — 07)
Learning in Public
© Exploring
Learning in Public
© Exploring
Learning in Public

Exploring

(3)

R

JAN

STEVE

DANIEL

01

Prompt Evaluation

Exploring systematic ways to test, compare, and refine prompts across models — a work in progress, not yet a claimed skill.

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Woman Glasses

02

RAG

Learning retrieval-augmented generation — grounding LLM responses in real data instead of relying on model memory alone.

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03

Claude API

Getting hands-on with the Claude API, extending multi-provider experience beyond Groq, Gemini, and OpenAI.

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Basketballer
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Woman In The Smoke

—

Learning by Building

Every new topic starts as a small working build — the fastest way I’ve found to move from theory to real understanding.

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African Man
Man Casual

01

Prompt Evaluation

Black Man
Woman Glasses

02

RAG

Woman Side Pose
Polish Woman
Woman Zoom Shot

03

Claude API

Woman Flowers
Basketballer
Woman Deep Shot
Woman In The Smoke

—

Learning by Building

Blue Hall
Car
African Man
Man Casual

01

Prompt Evaluation

Black Man
Woman Glasses

02

RAG

Woman Side Pose
Polish Woman
Woman Zoom Shot

03

Claude API

Woman Flowers
Basketballer
Woman Deep Shot
Woman In The Smoke

—

Learning by Building

Blue Hall
Car
African Man
Man Casual

Process

(3)

© Working Method
(WDX® — 08)
From Curiosity to Build
© Working Method
From Curiosity to Build
© Working Method
From Curiosity to Build
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Pool Area
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Man Side Pose
Woman Sofa
Pool Area
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Pool Area
© Help Center ヘルプ
(WDX® — 11)
Clarifications
© Help Center ヘルプ
Clarifications
© Help Center ヘルプ
Clarifications

FAQ.

Questions That Make the Work Clear Before a Conversation Starts.

01

What are you looking for right now?

02

What have you actually built?

03

Which LLM providers have you worked with?

04

Do you work across the full stack?

05

What are you learning right now?

06

How do you learn best?

What are you looking for right now?

What have you actually built?

Which LLM providers have you worked with?

Do you work across the full stack?

What are you learning right now?

How do you learn best?