Experience

Software Engineering Intern

Manada Technologies
September 2025 - December 2025

Developing an enterprise-grade Lending Bot with anti-hallucination validation for financial document processing using Azure OpenAI Assistants API and GPT-4o-mini.

PythonAzure CloudReactNode.jspdfplumberTensorFlowPyTorch

Key Highlights:

  • Building a modular pipeline for intelligent financial data extraction with complete source traceability
  • Designing validation logic and confidence scoring to raise compliance from 72.2% → 85%+
  • Integrating LLM-powered document parsing and prompt engineering for accuracy and reliability
  • Creating audit trail and traceability managers to ensure regulatory transparency
  • Developing and deploying full stack components with CI/CD and Git version control

Neuroscience Research Student

University of Texas at Dallas
May 2025 - Present

Currently engaged in undergraduate research under Dr. Zirong Gu, contributing to a project that applies advanced machine learning techniques to analyze neural and muscle activity data.

PythonMachine LearningData AnalysisElectrophysiologyEMG

Key Highlights:

  • Leveraging semi-supervised and unsupervised learning methods to uncover patterns in electrophysiology and EMG recordings
  • Investigating how basal ganglia output influences complex action sequences through computational analysis
  • Performing data preprocessing and feature extraction on neural activity datasets
  • Contributing to model training, validation, and results interpretation for neuroscience investigations
  • Applying advanced ML techniques to identify patterns in complex neural and muscle activity signals

Software Engineering Intern

Cohort Science
March 2025 - May 2025

Prototyped a dashboard UI to visualize ANN-generated research insights from UTD.

ReactNext.jsChart.jsCSS ModulesTypeScript

Key Highlights:

  • Built a modular FilterSearch component with React Hooks, Next.js, and Chart.js for dynamic filtering
  • Implemented responsive layouts and state management with useState
  • Styled using CSS Modules for modularity
  • Integrated multiple Chart.js visualizations for interactive research data display
  • Delivered a functional prototype ready for future scaling

Machine Learning Researcher

ACM Research at UTD
January 2025 - May 2025

Developed AI models to generate synthetic astronomical images to address data scarcity.

TensorFlowPythonNumPyMatplotlibDeep Learning

Key Highlights:

  • Built VAE and VQGAN models from scratch using TensorFlow, NumPy, and Matplotlib
  • Trained models for low reconstruction loss and high visual fidelity
  • Compared performance of DCGAN, StyleGAN, VAE, VQGAN to evaluate trade-offs
  • Proposed integration of YOLO-ET and Random Forest for anomaly detection in future work

Undergraduate Student Researcher

UT-Design Research Lab - UT Dallas
October 2024- May 2025

Analyzed student-drawn concept maps to measure engineering identity - Worked under Dr. Pavan Kumar and Dr. Joshua Summers

PythonData AnalysisGraph TheoryMachine Learning

Key Highlights:

  • Processed 500+ hand-drawn maps into a clean, structured dataset
  • Extracted graph features such as node count, edge density, and clustering coefficients
  • Prepared data for ANN training and analysis
  • Work contributed to Cohort Science's partnership

AI Research Intern

Emergence AI
Sept 2023- April 2024

Evaluated GPT-3.5 and GPT-4 for data analysis capabilities on large tabular datasets.

GPT-3.5GPT-4PythonData AnalysisLLM Evaluation

Key Highlights:

  • Designed evaluation prompts and test datasets up to 3,900 rows
  • Implemented chunking mechanism to bypass token limits
  • Measured accuracy in trend identification, statistical analysis, and anomaly detection
  • Diagnosed LLM failure modes (hallucinations, memory leaks, schema errors)
  • Presented weekly findings and recommended workflow improvements to supervisors