# Arti Kumari

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

Computer Engineering graduate (2026) and published deep-learning researcher (IIT Delhi). I ship cross-platform Flutter apps for real clients and design neural networks for research — and I'm now going deep on Generative AI: LLMs, RAG, agents, and MCP.

**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.

- Location: Rajkot, India
- Status: Open to AI/ML Engineer & Flutter Developer roles
- Email: kumariarti072205@gmail.com
- Site: https://example.com

## Career 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.

## Experience
### Flutter Mobile Application Developer — Cipher Craft Pvt. Ltd. (2025 — Present)
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.

### AI/ML Research Intern — IIT Delhi (2024 — 2025)
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).

### Data Science Intern — Cipher Craft Pvt. Ltd. (2023)
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.

## Research & publication
- **Graph Convolutional Neural Networks with Data Augmentation for Single-Channel EEG-Based Seizure Classification**
- Accepted for publication — International Conference · Co-author · 2025
- Prof. Tapan Kumar Gandhi · Dept. of Electrical Engineering, IIT Delhi
- 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.

## Selected projects
- **EEG Seizure Classification (GCN)** (Deep Learning · Research): Graph Convolutional Network for single-channel EEG-based seizure detection — the work behind my published paper at IIT Delhi. [PyTorch, GCN, Deep Learning, Healthcare AI]
- **Ask-My-AI Assistant** (Generative AI · LLM): The conversational assistant on this site — a Gemini-powered RAG-style agent that answers recruiter questions about my background. [Gemini, Vercel AI SDK, Next.js, RAG]
- **Construction Company Management App** (Mobile · Flutter): A live cross-platform app digitizing operations for a construction business. [Flutter, Dart, REST APIs]
- **CRM Mobile App** (Mobile · Flutter): Customer-relationship management on mobile — leads, customers, and pipeline in one app. [Flutter, Dart, Firebase]
- **Trip Portal — Admin & Customer** (Mobile · Flutter): A travel portal mobile app with two tailored experiences: one for admins, one for customers. [Flutter, Dart, Cross-platform]

## Skills
- **Generative AI & LLMs:** Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), Prompt Engineering, Vercel AI SDK, Google Gemini API, Embeddings & Vector Search
- **Machine Learning & Deep Learning:** PyTorch, TensorFlow / Keras, Graph Convolutional Networks (GCN), RNN · LSTM, CNN · Neural Networks, Data Augmentation, scikit-learn, NumPy · Pandas
- **Mobile Development:** Flutter, Dart, State Management (Provider / Bloc), REST API Integration, Firebase, Cross-platform iOS & Android
- **Web & Backend:** React, JavaScript / TypeScript, HTML · CSS, C# · .NET · ASP.NET, Node.js
- **Languages & Tools:** Python, Data Structures & Algorithms, SQL, Git · GitHub, Data Science

## Education
- B.Tech, Computer Engineering, RK University (2022 — 2026)

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