Aryaman Goenka

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Building the future with artificial intelligence and innovative web technologies. Currently pursuing CS at UMass Amherst with a passion for creating intelligent solutions.

About Me

Passionate about the intersection of artificial intelligence and software engineering. I build intelligent systems that solve real-world problems.

AI & Machine Learning

Neural Networks

Deep learning architectures and training

Computer Vision

Image processing and object detection

TensorFlow/PyTorch

ML framework expertise

Model Optimization

Performance tuning and deployment

Full-Stack Development

React.js/Next.js

Modern frontend frameworks

Python/Flask

Backend development and APIs

Database Design

SQL and data architecture

Cloud Deployment

Scalable application hosting

Data Science

Data Analysis

Statistical analysis and insights

Visualization

Interactive charts and dashboards

Algorithm Design

Efficient problem-solving approaches

Research Methods

Scientific approach to development

Technology Stack

Python
JavaScript
TypeScript
React.js
Flask
TensorFlow
PyTorch
OpenCV
SQL
Git
Docker

Experience

Software Engineering Intern

Paktolus Solutions

Florida, USA

May 2025 – July 2025

Architected scalable full-stack User Management System using Django REST Framework, FastAPI, and Next.js

Integrated JWT authentication and responsive UI with shadcn/ui and Tailwind CSS

Deployed RESTful APIs with microservices architecture and 80%+ test coverage

DjangoFastAPINext.jsTypeScriptJWT

Undergraduate Research Intern

Advanced Learning Technologies Lab

UMass Amherst

Jan 2025 – May 2025

Built AI agent for automated prompts to top-tier Hugging Face models

Automated CSV-to-prompt generation, reducing manual parsing time by 60%

Accelerated behavioral insights for metacognition and embodied learning research

PythonHugging FaceAI/MLData Analysis

Software Development Intern

Telspiel Communications

Delhi, India

March 2023 – April 2023

Developed interactive dashboard reducing user navigation time by 40%

Engineered modular GUI components improving cross-platform navigation

Optimized UI for 150 million daily interactions with 45% efficiency increase

React.jsBootstrapJavaScriptUI/UX

Featured Projects

Interactive AI/ML projects that showcase innovation and technical expertise

Neural Network Builder

Drag-and-drop interface for designing and training neural networks

Real-time training visualization with WebSockets

Support for CNNs, regression, and classification

Multiple export formats (.py, .ipynb, .keras)

Interactive model configuration interface

Python
Flask
React
TensorFlow
WebSockets

CarVision AI

Computer vision system for autonomous vehicle detection

Sliding window algorithm with 75.56% accuracy

Custom CNN achieving 96.21% training accuracy

Transfer learning with VGG16 (84.44% performance)

Real-time vehicle detection and tracking

Python
TensorFlow
OpenCV
Pandas
VGG16

Education

Bachelor of Science in Computer Science

University of Massachusetts Amherst

Amherst, Massachusetts

Expected May 2028

GPA: 3.83/4.00

Academic Excellence

Foundations of Programming (Python)
Object-Oriented Programming (Java)
Calculus II & III
Linear Algebra

Leadership & Research

Project Lead: MassAI
E-Board Member: CICSoft
Research Assistant: Khwarizmi Lab
Undergraduate Intern: Advanced Learning Technologies Lab

Let's Connect

Ready to collaborate on the next breakthrough in AI and technology? Let's build something amazing together.