# Muskan baloch

Muskan baloch is a remote worker on Himalayas, Master's Thesis Researcher at HSE University, based in Russian Federation.

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

```text
Computer science researcher at HSE University developing neural runtime monitors for LLM agent safety in financial operations.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Russian Federation |
| Authorized to work in | Russian Federation |
| Salary expectations | 30k+ USD |
| Job categories | Machine Learning Researcher |
| Skills | Machine Learning, Financial Fraud Analysis, Agent Safety, Dynamic Verification, Formal Methods, Temporal Logic, Explainable AI, Anomaly Detection, Multi Agent Systems, LLM orchestration, Sequence Modeling, graph neural networks, Model Evaluation, Feature Engineering, Class Imbalance Handling |

## About

```text
At HSE University, I’m researching neural runtime monitoring for the safety of LLM agents performing financial operations. I formalise safety invariants in LTL and check them with NuSMV and SPIN, while training a PyTorch monitor to predict violations.

In my research on financial fraud detection, I developed and compared machine learning models on transaction datasets and used SHAP to interpret predictions. I’ve also worked on empirical comparisons of LLM agent architectures and built projects involving distributed databases and software testing.
```

## Experience

### Master's Thesis Researcher (current)

HSE University. Sep 2026 - Present

```text
Developing a hybrid safety framework for LLM agents in financial operations, formalizing safety invariants in LTL and training neural monitors to predict violations.
```

Skills: Python, PyTorch, LTL, NuSMV, SPIN, LLM-APIs

### Lead Researcher (current)

HSE University. Jan 2026 - Present

```text
Leading an empirical comparison of four LLM agent architectures (monolithic, hierarchical, swarm, reflexive) in software engineering workflows, analyzing scalability, communication overhead, and error propagation.
```

Skills: Python, Multi-Agent-Systems, LLM-orchestration, PyTorch

### Research Project Member

HSE University. Sep 2025 - Apr 2026

```text
Conducted research on anomaly and fraud detection in financial data, reviewing literature, preprocessing datasets, developing and comparing ML models, and applying SHAP for explainability.
```

Skills: Python, XGBoost, CNN, LSTM, GCN, GAT, GraphSAGE, SHAP, PaySim, Credit-Card-Fraud, Fraud-Detection

## Education

### HSE University

MSc, Computer Systems and Networks. 2025 - Present

```text
Pursuing an MSc in Computer Systems and Networks with a thesis on neural runtime monitoring of LLM agent safety for financial operations automation.
```

### HSE University

Russian Language Course, Russian Language. 2024 - 2025

```text
Completed a Russian Language Course at HSE University.
```

### Institute of Southern Punjab

BS, Computer Science. 2019 - 2023

```text
Completed a BS in Computer Science with coursework in data structures, algorithms, database management, and artificial intelligence.
```

## Tech stack

- GitHub
- MySQL
- Jira
- Python
- C++
- PyTorch
- Git
- Wrk
- SQL
- XGBoost
- TestRail
- Android

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

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