# Neomen User

Neomen User is a remote worker on Himalayas, AI & Machine Learning Intern at Inventeron Technologies and Business Solutions LLP, based in India.

Source: https://himalayas.app/@neomenuser

```text
I build production-oriented AI systems for fraud detection, LLM security, and computer vision.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Machine Learning Engineer, AI Engineer, Computer Vision Engineer, Data Scientist, Backend Engineer |
| Skills | Machine Learning, Computer Vision, LLM Applications, AI Security, LSTM Autoencoder, graph neural networks, XGBoost, LightGBM, Prophet, SHAP, Fraud Detection, Behavioral Analytics, Feature Engineering, Model Evaluation, Sales Forecasting, Stock Forecasting, Algorithmic Trading, Risk Management, RSI, MACD, Bollinger Bands, OpenCV, YOLOv8, TinyML, Object Detection, Real Time Detection, Groq API, Hugging Face, Embeddings, LLM Security, Multi Agent Systems, Sentiment Analysis, CopilotKit, Natural Language Interfaces, fastAPI, Redis, PostgreSQL, Docker, Microservices, REST APIs, CI CD, GitHub Actions, MLFlow, Performance Optimization, React, Streamlit, WebSockets, Dashboard Development, UI UX, Google Mail API, OAuth 2, Python, Java, SQL, JavaScript, TypeScript, Git, GitHub, VSCode, Jupyter Notebooks, Render.com, Vercel, AWS, Streamlit Cloud, ESP32 CAM, Figma |

## What I'm looking for

```text
I'm looking to build production-oriented AI solutions for real-world challenges, especially across machine learning, LLM security, computer vision, and scalable AI-powered applications.
```

## About

```text
I've built AI security, fraud detection, and computer vision systems designed for real-world deployment. My work combines machine learning with FastAPI, React, cloud platforms, and edge AI.

During my AI & Machine Learning internship at Inventeron Technologies and Business Solutions LLP, I built an end-to-end fraud detection system processing 50K+ simulated daily transactions. It achieved 96.8% ROC-AUC, 87ms latency, 31% better fraud capture, and an 87% reduction in alert investigation time through SHAP explainability.

I created NeuroSentinel, an AI security platform for LLM agents with dual-layer compromise detection, Graph Neural Network propagation tracking, FastAPI microservices, Redis persistence, Docker deployment, and a published PyPI SDK. The platform achieved 90.86% detection accuracy, 99.9% uptime, and 300ms response times.

I've also built an AI-powered Gmail client, an investment and sales forecasting platform, and a YOLOv8 wildlife monitoring system on ESP32-CAM. I'm currently pursuing an Integrated M.Tech in Computer Science Engineering and enjoy turning AI models into practical, production-ready applications.
```

## Experience

### AI & Machine Learning Intern

Inventeron Technologies and Business Solutions LLP. Jun 2025 - Dec 2025

```text
Built end-to-end fraud detection system with 96.8% ROC-AUC and 87ms latency, processing 50K+ daily simulated transactions. Engineered 12 behavioral features using Python and XGBoost ensemble, improving fraud capture by 31%.
```

Skills: Python, XGBoost, SHAP, fastAPI, Redis, Streamlit, Fraud-Detection, Feature-Engineering, Microservices, Docker

## Education

### Sri Ramakrishna Engineering College

Integrated Master of Technology (M.Tech), Computer Science Engineering. 2022 - Present. Grade: 7.75

```text
Pursuing an Integrated M.Tech in Computer Science Engineering with a current CGPA of 7.75 up to the 8th semester.
```

### AWS

AWS Cloud Practitioner Essentials, Cloud Computing. 2025 - 2025

```text
Completed AWS Cloud Practitioner Essentials certification.
```

### NPTEL

Responsible & Safe AI Systems, AI Safety. 2025 - 2025

```text
Completed Responsible & Safe AI Systems certification.
```

### NPTEL

Privacy and Security in Online Social Media, Privacy and Security. 2025 - 2025

```text
Completed Privacy and Security in Online Social Media certification.
```

### Udemy

UI/UX Design, UI/UX Design. 2025 - 2025

```text
Completed UI/UX Design certification.
```

### NPTEL

Introduction to Large Language Models (LLMs), Large Language Models. 2025 - 2025

```text
Completed Introduction to Large Language Models (LLMs) certification.
```

### Udemy

Ethical Hacking, Cybersecurity. 2025 - 2025

```text
Completed Ethical Hacking certification.
```

### St. Joseph's College Higher Secondary School

Higher Secondary Education (HSC), General. Grade: 87%

```text
Completed Higher Secondary Education (HSC) with 87%.
```

### St. Joseph's College Higher Secondary School

Secondary Education (SSLC), General. Grade: 80.4%

```text
Completed Secondary Education (SSLC) with 80.4%.
```

### OpenCV

OpenCV Bootcamp, Computer Vision. 2026 - 2026

```text
Completed OpenCV Bootcamp certification.
```

## Tech stack

- GitHub
- GitHub Actions
- PostgreSQL
- Figma
- OpenCV
- Redis
- React
- JavaScript
- Python
- Java
- MLflow
- Streamlit
- FastAPI
- Vercel
- TypeScript
- Git
- Docker
- SQL
- XGBoost
- Hugging Face
- LightGBM
- CopilotKit

To contact Neomen, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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