Full Profile

Experience, Skills
& Background

My academic and professional history, technical skills, courses, conference talks, and collaborators.

Experience

Graduate Research Assistant

Middle Tennessee State University (MTSU)

Aug 2023 – Present
Murfreesboro, TN
  • ·Year 1: Built autonomous vehicle simulation (CARLA/DQN), CNN for Alzheimer's classification, fNIRS mental workload detection, crypto price prediction, MPI4Py preprocessing optimization, and ICU length-of-stay prediction
  • ·Year 2: Built VulnFusion and QuadraCode AI for smart contract vulnerability detection, multimodal cervical cancer detection, and stress analysis from chest-worn sensors
  • ·Year 3: Built RBBD federated learning backdoor defense, benchmarked big data frameworks, and studied blockchain in gaming ecosystems

Data Analyst

Urja Tech

Feb 2018 – March 2022
Pokhara, Nepal
  • ·Led data analysis projects that improved operational efficiency
  • ·Built SQL databases and Tableau dashboards that improved decision-making
  • ·Used statistical methods and predictive modeling for business forecasting

Skills

Languages

PythonJavaScriptTypeScriptC/C++SQLSolidityHTML/CSSLaTeX

Frameworks & Libraries

ReactNext.jsNode.jsTensorFlowPyTorchPySparkApache AirflowHugging Face

Cloud & Tools

AWS (SageMaker, Lambda, S3)Google CloudSupabaseAlteryxPower BIMongoDBFirebaseGit

Research Domains

Federated LearningBlockchain SecurityComputer VisionNLPPrivacy-Preserving MLBig DataCybersecurity

Courses Taken

No courses found.

Talks & Presentations

2025

IEEE TPS / CIC 2025
Pittsburgh, PA

RBBD: A Representation-Based Framework for Edge-Case Backdoor Defense in Federated Learning

IEEE AIIoT 2025
Seattle, WA

Privacy Meets Conservation: Federated Learning's Revolution in Deforestation Detection

IEEE CCWC 2025
Las Vegas, NV

A Big Data Optimization Comparison Using Apache Spark and Apache Airflow

IEEE CCWC 2025
Las Vegas, NV

Chain Your Loot: Implementing Blockchain Into Gaming Loot Box Markets

2024

ICCCN 2024

QuadraCode AI: Smart Contract Vulnerability Detection with Multimodal Representation

IEEE AIIoT 2024
Seattle, WA

Scalable Multimodal Machine Learning for Cervical Cancer Detection

ACR 2024
Madrid, Spain

Comparative Study of Real-Time and Batch Processing Approaches in ML-Based Fraud Detection

2023

IEEE Big Data 2023
Sorrento, Italy

Using the CARLA Simulator to Train A Deep Q Self-Driving Car

ACM Mid-Southeast 2023
Gatlinburg, TN

GAN-Based Data Augmentation for Chest X-ray Classification in Lung Disease Diagnosis

ACM Mid-Southeast 2023
Gatlinburg, TN

Empowering AI's Trust and Big Data Resources in Healthcare Industry with Blockchain

IEEE SPMB 2023

Improved Prediction of Classification of the Alzheimer's Disease with Convolutional Neural Network