# Phalguna KS

Phalguna KS is a remote worker on Himalayas, AI/ML Intern (Computer Vision) at Lab2Market Rail (IISc Startup), based in India.

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

```text
AI/ML engineer at Lab2Market Rail who developed computer vision pipelines for railway defect inspection and built AgentGate to secure AI agent tool calls.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | Machine Learning Engineer, Computer Vision Engineer, AI Engineer |
| Skills | Machine Learning, Computer Vision, Object Detection, Image Classification, Anomaly Detection, Model Training, Model Evaluation, Feature Engineering, Statistical Analysis, AI Security Agents, Tool Call Authorization, Policy Based Access Control, Prompt Injection Testing, Audit Logging, Natural Language Processing |
| Portfolio | https://github.com/Phalguna-72/agentgate |
| LinkedIn | https://linkedin.com/in/Phalguna%20KS |
| GitHub | https://github.com/Phalguna-72 |

## About

```text
At Lab2Market Rail (IISc Startup), I trained and fine-tuned YOLO object detection models and developed ResNet-based image classification and PaDiM anomaly detection pipelines for railway undercarriage defect inspection as part of the MVIS project.

I also implemented Python data-processing and inference pipelines for the railway inspection system. I analyzed model predictions and inspection alerts, investigated false positives, and recommended out-of-distribution validation after identifying potential train-validation data leakage.

I built AgentGate, a prototype policy gate for AI agent tool calls. It checks role identity, argument safety, request intent, and call rate, and can allow, deny, or hold an action for approval; held actions are re-checked before execution and decisions are recorded in an audit file.

I connected AgentGate to a LangGraph workflow and tested it against prompt injection using a local 3B model; the gate blocked all four attempts. I also built a YouTube Q&A agent that retrieves transcript content using embeddings and semantic search to answer questions with context.
```

## Experience

### AI/ML Intern (Computer Vision)

Lab2Market Rail (IISc Startup). Jul 2025 - Oct 2026

```text
Trained and fine-tuned YOLO object detection models and developed ResNet-based image classification and PaDiM-based anomaly detection pipelines for railway undercarriage defect inspection. Designed and implemented Python-based data processing and inference pipelines, and evaluated model performance to investigate false positives.
```

Skills: YOLO, ResNet, PaDiM, Python, TensorFlow, OpenCV, Object-Detection, Image-Classification, Anomaly-Detection, Data-Processing, Model-Evaluation

## Education

### Visvesvaraya Technological University

Bachelor of Engineering, Computer Science (AI & ML). 2022 - Present. Grade: 8.86 CGPA

```text
Pursuing a Bachelor of Engineering in Computer Science with a specialization in AI and Machine Learning, achieving a CGPA of 8.86.
```

### Sri Devaraj URS Pre-University College

Pre-University, PCM with Computer Science. 2020 - 2022. Grade: 75.0%

```text
Completed Pre-University education with Physics, Chemistry, Mathematics, and Computer Science, scoring 75.0%.
```

## Tech stack

- NumPy
- Pandas
- OpenCV
- Python
- TensorFlow
- scikit-learn
- pytest
- SQL
- LangChain
- Ollama
- ChromaDB
- LangGraph
- LangSmith
- Seaborn
- Matplotlib
- Power BI

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

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