Open to opportunities

Aryan Paneru

@aryanpaneru

Message

I build machine learning systems and data pipelines for decision-making.

Nepal

Message

What I'm looking for

I'm looking to build data, machine learning, and decision-automation systems where I can turn complex datasets into reliable products, contribute across teams, and grow through challenging real-world work.

At Nepal Clearing House Limited, I cleaned and organized large-scale quantitative datasets and built dashboards monitoring more than 6 million QR-based transactions across 7,000+ merchant endpoints. I also developed machine-learning models for regional transaction trends across 77 geographic nodes, achieving 96.7% predictive accuracy.

I engineered optimized SQL pipelines that reduced query latency by 40% and supported monitoring, evaluation, and quality control for digital payments. I contributed to the analytics layer for the early India–Nepal cross-border QR transaction system, supporting international data integration and public financial infrastructure.

For HCPG-GNN, I built a heterogeneous code property graph pipeline and a 3-layer Semantic Relational GATv2 model to classify six smart-contract vulnerability types. I also developed leakage-resistant preprocessing, CI with 194 automated tests, and a FastAPI dashboard deployed with Docker and Google Cloud Run.

In Guest-IQ, I developed a three-agent reinforcement-learning simulation for hotel revenue optimization and automated pipelines covering 9.9 million market searches and 119,000+ reservations. I enjoy turning complex data into dependable systems, dashboards, and decision-useful insights.

Experience

Work history, roles, and key accomplishments

Smart Contract Vulnerability Detection Framework

University Project

Jan 2025 - May 2026 (1 year 4 months)

Architected a Custom GNN Vulnerability Detector using a Heterogeneous Code Property Graph pipeline and a 3-layer Semantic Relational GATv2 architecture to classify 6 SWC vulnerability types. Built a leakage-resistant data pipeline and implemented a full MLOps workflow with CI, automated tests, and validation gates.

Python PyTorch GNN MLOps fastAPI Docker GitHub Actions Solidity

Multi-Agent Reinforcement Learning for Hotel Revenue Optimization

University Project

Aug 2025 - Dec 2025 (4 months)

Developed an autonomous 3-agent hotel revenue simulation system using deep reinforcement learning to optimize room pricing and booking controls. Engineered a robust data pipeline to ingest and structure 9.9 million market searches and 119,000+ reservations, and built automated testing for system reliability.

Reinforcement Learning Python Data Pipelines Testing Automation Project Planning

Data Analyst & Machine Learning Intern

Nepal Clearing House Limited

Jun 2024 - Aug 2024 (2 months)

Collected, cleaned, and organized large-scale quantitative datasets; developed dashboards and data visualizations to monitor over 6 million QR-based transactions across 7,000+ merchant endpoints. Conducted quantitative analysis using machine learning to model regional transaction trends across 77 geographic nodes, achieving 96.7% predictive accuracy.

Data Analysis Machine Learning SQL Data Visualization Dashboard Development Quantitative Analysis

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 8.05/10

Pursuing a Bachelor of Technology in Computer Science and Engineering with a minor in Finance. Relevant coursework includes Artificial Intelligence, Machine Learning, and Database Systems.