# Gowtham User

Gowtham User is a remote worker on Himalayas, AI/ML Engineer at Self Employed, based in India.

Source: https://himalayas.app/@gowthamuser3

```text
I build Python ML systems for telematics risk scoring and offline multimodal RAG workflows.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 140k+ INR |
| Job categories | Machine Learning Engineer, Data Scientist, Data Engineer, Backend Engineer, AI Engineer, Software Engineer, AI ML Engineer, Machine Learning Engineer Jobs, Machine Learning Engineering, Machine Learning Engineering Jobs, Machine Learning Engineer, Applied Machine Learning Engineer |
| Skills | Python, Java, C, Machine Learning, LLM Applications, RAG Systems, Natural Language Processing, Speech to Text, Computer Vision, OCR, Classification, Feature Engineering, Model Evaluation, Risk Scoring, PySpark, Apache Spark, Data Pipelines, ETL, scikit learn, NumPy, Pandas, Matplotlib, TensorFlow, PyTorch, Flask, REST APIs, Git, GitHub, IBM Cloud, MySQL, Jupyter, Logistic Regression, Random Forest, Decision Trees, Encoder, Convolutional Neural Networks, SQL, Modal |
| Portfolio | https://github.com/Gowtham6676 |

## What I'm looking for

```text
I'm looking to build production-grade ML, AI, data, or backend systems where I can contribute across data processing, modeling, evaluation, and deployment while growing in large-scale data workflows.
```

## About

```text
I built an end-to-end driver behavior profiling and risk assessment system using Python and Scikit-learn, turning 10,000+ telematics records into actionable risk scores.

I engineered behavioral features for overspeeding, harsh braking, and sharp turns, reduced sensor noise by 30%, and achieved 85% classification accuracy across low, medium, and high-risk tiers. I also deployed a Flask REST API for real-time scoring, reducing manual analysis effort by about 60%.

I co-authored and presented an IEEE-published paper at ICSSCNA-2026 on an offline multimodal RAG pipeline. The system brings together documents, scanned images, and speech through NLP, OCR, speech-to-text, vector indexing, and local LLMs for cross-modal querying.

I'm building on strong Python data work with self-directed PySpark and Apache Spark study, and I enjoy developing production-minded ML and backend systems from data ingestion through evaluation and deployment.
```

## Experience

### AI/ML Engineer

Self Employed

```text
AI/ML Engineer with strong Python skills in data processing, feature engineering, and analytics, backed by self-directed study of PySpark and Apache Spark for large-scale data workflows.
```

Skills: Python, PySpark, Apache-Spark, Data-Processing, Feature-Engineering, Analytics

## Education

### Hindusthan College of Engineering and Technology

Bachelor of Technology, Artificial Intelligence & Machine Learning. 2022 - 2026

```text
Pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning from Hindusthan College of Engineering and Technology, affiliated with Anna University.
```

## Tech stack

- Apache Spark
- GitHub
- Jupyter
- NumPy
- Pandas
- PySpark
- MySQL
- Java
- TensorFlow
- PyTorch
- scikit-learn
- SQL
- IBM Cloud
- Modal

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

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