OPEN TO AI/ML ENGINEER & FLUTTER DEVELOPER ROLES

Arti Kumari

AI/ML Engineer & Flutter Developer. I build at the intersection of applied machine learning and production mobile apps.

1
Peer-reviewed paper
Accepted, intl. conference
2+
Live apps shipped
Real clients, in production
IIT Delhi
AI/ML research
Prof. T. K. Gandhi
2026
B.Tech, Comp. Engg
Final year
01
The 30-second read

At a glance

The thesis

Most early-career engineers pick one side — research or shipping. I do both: I publish deep-learning research and ship production apps. That combination is what makes an AI hire low-risk.

Available

Open to AI/ML Engineer & Flutter Developer roles

Rajkot, India

Get in touch

Generative AI

LLMs, RAG, agents & MCP — building the new interface layer between people and software.

ML & Research

Deep learning from first principles — GCN, RNN/LSTM, CNN. Peer-reviewed and published.

Mobile Engineering

Production Flutter apps, shipped end-to-end for real clients.

Ask my AI

A live, grounded assistant — quiz it on my fit for your role.

02
Interactive

Ask my AI anything

Short on time? This assistant is grounded on my real background — ask it about my research, my shipped apps, or whether I'm a fit for your role. (Built with the Gemini API & Vercel AI SDK — a live demo of the GenAI work itself.)

Arti's AI online

Ask a question below, or tap one of the suggestions to start.

03
What I've built

Selected Work

Shipped products and research, spanning Generative AI, deep learning, and production mobile.

Deep Learning · Research Featured

EEG Seizure Classification (GCN)

Graph Convolutional Network for single-channel EEG-based seizure detection — the work behind my published paper at IIT Delhi.

  • Modeled EEG signals as graphs and trained a GCN classifier
  • Used data augmentation to handle limited, imbalanced clinical data
  • Result: a peer-reviewed paper accepted at an international conference
PyTorchGCNDeep LearningHealthcare AI
Generative AI · LLM Featured

Ask-My-AI Assistant

The conversational assistant on this site — a Gemini-powered RAG-style agent that answers recruiter questions about my background.

  • Built with the Vercel AI SDK and the Google Gemini API
  • Streams responses, grounded on a curated knowledge base
  • Graceful offline fallback so it never breaks in a demo
GeminiVercel AI SDKNext.jsRAG
Mobile · Flutter

Construction Company Management App

A live cross-platform app digitizing operations for a construction business.

  • Role-based access and complex business workflows
  • REST API integration with a real backend
FlutterDartREST APIs
Mobile · Flutter

CRM Mobile App

Customer-relationship management on mobile — leads, customers, and pipeline in one app.

  • Shipped to production for a real client
  • Clean state management and API-driven data
FlutterDartFirebase
Mobile · Flutter

Trip Portal — Admin & Customer

A travel portal mobile app with two tailored experiences: one for admins, one for customers.

  • Two role-specific app flows from a single codebase
  • End-to-end booking and management UX
FlutterDartCross-platform
04
Where I've worked

Experience

A fast-rising arc: foundations → data science → published research → shipping production software.

  1. Engineering2025 — Present

    Flutter Mobile Application Developer · Cipher Craft Pvt. Ltd.

    Mobile Engineering

    • Build and ship cross-platform production mobile apps in Flutter & Dart for live clients.
    • Delivered a Construction Company Management app and a CRM — handling role-based access, complex business workflows, and REST API integration.
    • Built the Trip Portal mobile app with separate admin and customer experiences.
    • Use AI-assisted development workflows to accelerate delivery without compromising quality.
    FlutterDartREST APIsFirebase
  2. Research2024 — 2025

    AI/ML Research Intern · IIT Delhi

    Dept. of Electrical Engineering · Mentor: Prof. Tapan Kumar Gandhi

    • Designed and trained Graph Convolutional Neural Networks for single-channel EEG-based seizure classification.
    • Applied data augmentation to address class imbalance and improve generalization on limited EEG data.
    • Co-authored a research paper accepted for publication at an international conference.
    • Gained deep, hands-on experience across the research pipeline and DL architectures (GCN, CNN, RNN/LSTM).
    Deep LearningGCNPyTorchEEGResearch
  3. Internship2023

    Data Science Intern · Cipher Craft Pvt. Ltd.

    Data Science

    • Worked on data science projects spanning data cleaning, analysis, and ML modeling in Python.
    • Built foundational experience with the end-to-end ML workflow: preprocessing, feature engineering, training and evaluation.
    PythonData Sciencescikit-learn
05
Published Work

Research

Peer-reviewed deep-learning research — the proof that I understand what's under the hood, not just the API surface.

Accepted for publication — International Conference2025

Graph Convolutional Neural Networks with Data Augmentation for Single-Channel EEG-Based Seizure Classification

A deep-learning approach to seizure classification from single-channel EEG. We model EEG signals as graphs and apply Graph Convolutional Networks combined with data-augmentation strategies to overcome limited, imbalanced data — improving classification performance for automated seizure detection.

Graph-based modeling of single-channel EEG signalsData augmentation to counter class imbalancePeer-reviewed & accepted at an international conference
Role — Co-authorMentor — Prof. Tapan Kumar Gandhi · Dept. of Electrical Engineering, IIT Delhi
Link on request
06
Toolkit

Skills

T-shaped: depth in ML & GenAI, breadth across mobile, web, and backend.

01Generative AI & LLMs

Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI AgentsModel Context Protocol (MCP)Prompt EngineeringVercel AI SDKGoogle Gemini APIEmbeddings & Vector Search

02Machine Learning & Deep Learning

PyTorchTensorFlow / KerasGraph Convolutional Networks (GCN)RNN · LSTMCNN · Neural NetworksData Augmentationscikit-learnNumPy · Pandas

03Mobile Development

FlutterDartState Management (Provider / Bloc)REST API IntegrationFirebaseCross-platform iOS & Android

04Web & Backend

ReactJavaScript / TypeScriptHTML · CSSC# · .NET · ASP.NETNode.js

05Languages & Tools

PythonData Structures & AlgorithmsSQLGit · GitHubData Science
Currently

Going deep on Generative AI— LLMs, agents & MCP.

07
Background

Education & Highlights

Education

B.Tech, Computer Engineering

2022 — 2026

RK University

Coursework across Data Structures & Algorithms, Machine Learning, and software engineering. Path: web → C#/.NET → Python & Data Science → React → Flutter → Deep Learning research.

Highlights

  • Published deep-learning researcher — co-authored a peer-reviewed international conference paper at IIT Delhi.
  • Shipped 2+ live production mobile apps in Flutter for real clients.
  • Strong ML fundamentals — built GCN, RNN/LSTM and CNN models from the ground up, not just API calls.
  • Actively building in Generative AI — LLMs, RAG, AI agents and MCP.
  • Winner's trophy — inter-college basketball (sports event).
  • Active in college tech fests — participant and event volunteer.
08 — Let's talk

Building something with AI or mobile?

I'm open to ai/ml engineer & flutter developer roles. If my mix of research depth and shipping experience fits what you're hiring for, I'd love to hear from you.

Rajkot, India GitHub LinkedIn