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# Rishvanth Amsaraj

**Headline:** Computational Data Science
**Profession:** Sponsorship Team
**Location:** Mechanicsburg, Pennsylvania, United States

## About

Rishvanth Amsaraj is a Computational Data Science student and Undergraduate Research Assistant at Penn State University, where he conducts research in the Sensory Neuroscience Lab on statistical models and reaction\-time analysis\. He develops research pipelines for Kinarm robotic\-platform data to study human motor control and decision\-making, with particular strength in Bayesian statistical modeling, data cleaning, and scientific computing\. Rishvanth built hierarchical Bayesian drift\-diffusion models in PyMC across hand and saccadic reaction\-time conditions for 16 participants and three target speeds, and implemented a shared\-participant estimator to remove a known non\-decision\-time flooring artifact in saccadic data\. His first research experience in the neuroscience lab has been a significant source of professional growth and has strengthened his abstract reasoning and independent problem\-solving\. Rishvanth is also on the Sponsorship Team for HackPSU, Penn State’s student\-run, bi\-annual 24\-hour hackathon\. His interests extend to AI systems that perceive and reason about the world, including an educational chatbot designed to guide students toward solutions rather than provide direct answers\. He is also building an IoT washing\-machine tracking system with Raspberry Pi in Recent Lab\.

## Services

- Distributed State Management Patterns
- Browser API Design & Cross\-Tab Communication
- JavaScript Library Development & npm Publishing
- Gamification & Voice\-Input UI Design
- PWA Development
- Offline\-First Architecture & Local Storage
- Voice\-First AI Interface Design
- Real\-Time WebSocket Architecture
- React & TypeScript Frontend Development
- Decision\-Making & Motor Control Data Processing
- Bayesian Statistical Modeling & Drift\-Diffusion Models
- Scientific Research Pipelines & Analysis
- Backtesting & Risk Management Systems
- Algorithmic Trading
- Time\-Series Forecasting with LSTMs
- RAG Architecture
- Vector Databases & Embeddings
- Multi\-Modal Document Processing
- Human Pose & Hand Tracking \(MediaPipe\)
- Computer Vision & Object Detection
- Vision\-Language Models \(Florence\-2\)
- Scientific Computing & Numerical Methods Implementation
- Expression Parsing & AST Construction
- Vanilla JavaScript & DOM Architecture
- Negotiation
- Strategic Partnerships
- Business Strategy
- Finance
- Data Collection
- Software Deployment

## Highlights

- Developed Penn State’s reaction\-time analysis pipeline for Kinarm robotic\-platform data used to model human motor control and decision\-making\.
- Built hierarchical Bayesian drift\-diffusion models in PyMC to estimate drift rate, boundary separation, and non\-decision time\.
- Modeled hand and saccadic reaction\-time conditions across 16 participants and three target speeds\.
- Implemented a shared\-participant Bayesian estimator that eliminated the per\-cell non\-decision\-time flooring artifact in saccadic data\.
- Conducts research at Penn State’s Sensory Neuroscience Lab on statistical models and reaction\-time analysis\.
- Serves on HackPSU’s Sponsorship Team for Penn State’s largest student\-run hackathon, a bi\-annual 24\-hour event involving hundreds of students\.
- Secures company sponsorships, negotiates competition prize packages, and coordinates event vendors for HackPSU\.
- Creates an AI educational chatbot that guides students toward solutions rather than supplying direct answers\.
- Builds an IoT washing\-machine tracking system with Raspberry Pi in Recent Lab\.
- Pursues a Bachelor of Science in Data Science \(Engineering\) at Penn State University\.
- Earned Penn State’s Business Fundamentals Certificate in Business Administration, Management and Operations\.
- Holds certifications in Foundations of AI and Machine Learning, AI Ethics, Generative AI, Large Language Models, Python, Java, data analysis, entrepreneurship and small business, and a World Class Tae Kwon Do Black Belt Certification\.

## Experience

- **Sponsorship Team at HackPSU** (2026\-05\-01–present) — Part of the student\-run team organizing Penn State's largest hackathon — a bi\-annual, 24\-hour event bringing together hundreds of students to build hardware and software projects\. Responsible for securing financial sponsorships from companies, negotiating prize packages for competition winners, and coordinating with vendors to provide food, drinks, and other essentials throughout the event\.
- **Undergraduate Research Assistant at Penn State University** (2025\-08\-01–present) — Developed the lab's reaction\-time analysis pipeline for Kinarm robotic platform data, modeling human motor control and decision\-making processes\. Built hierarchical Bayesian drift\-diffusion models \(DDM\) using PyMC to estimate drift rate, boundary separation, and non\-decision time across hand and saccadic RT conditions \(16 participants × 3 target speeds\)\. Addressed a known methodological issue — per\-cell non\-decision time flooring in saccadic data — by implementing a shared\-participant Bayesian estimator that eliminated the artifact\.

## Education

- High School Diploma — Metea Valley
- Bachelor of Science \- BS, Data Science \(Engineering\) — Penn State University
- Business Fundamentals Certificate, Business Administration, Management and Operations — Penn State University

## FAQ

### What does Rishvanth do?

Rishvanth is a Computational Data Science student, an Undergraduate Research Assistant at Penn State University, and a member of the Sponsorship Team at HackPSU\. He is interested in artificial intelligence that perceives and reasons about the world rather than only labeling it\.

### What research does Rishvanth conduct at Penn State?

Rishvanth conducts research at Penn State’s Sensory Neuroscience Lab on statistical models and reaction\-time analysis\. He studies human motor control and decision\-making using Kinarm robotic\-platform data\.

### What did Rishvanth build as an Undergraduate Research Assistant?

Rishvanth developed the lab’s reaction\-time analysis pipeline for Kinarm data\. The work models human motor control and decision\-making processes and includes research\-level data cleaning and processing\.

### What statistical models has Rishvanth used?

Rishvanth built hierarchical Bayesian drift\-diffusion models using PyMC\. The models estimate drift rate, boundary separation, and non\-decision time across hand and saccadic reaction\-time conditions involving 16 participants and three target speeds\.

### How did Rishvanth address the saccadic\-data methodological issue?

Rishvanth addressed per\-cell non\-decision\-time flooring in saccadic data, a known methodological issue\. He implemented a shared\-participant Bayesian estimator that eliminated the artifact\.

### What has Rishvanth learned from his first research experience?

Rishvanth’s neuroscience lab role was his first research experience and contributed significant professional growth\. It strengthened his abstract thinking, Bayesian\-methods experience, maximum\-likelihood\-estimation knowledge, and ability to solve challenging problems independently with supportive mentorship\.

### What does Rishvanth do at HackPSU?

Rishvanth serves on the Sponsorship Team for HackPSU, Penn State’s largest hackathon\. HackPSU is a student\-run, bi\-annual, 24\-hour event where hundreds of students build hardware and software projects\.

### What are Rishvanth’s responsibilities on the HackPSU Sponsorship Team?

Rishvanth secures financial sponsorships from companies, negotiates prize packages for competition winners, and coordinates with vendors for food, drinks, and other event essentials\.

### What AI project is Rishvanth creating?

Rishvanth is creating an AI educational chatbot intended to guide students toward solutions instead of directly giving them answers\.

### What IoT project is Rishvanth building?

Rishvanth is building an IoT washing\-machine tracking system with Raspberry Pi in Recent Lab\. The project reflects his practical experience with IoT, Raspberry Pi, and hardware integration\.

### What are Rishvanth’s core data science and research skills?

Rishvanth’s technical strengths include decision\-making and motor\-control data processing Bayesian modeling and drift\-diffusion models scientific research pipelines Python, Java, R, databases, data modeling, and data analysis\. He also works with scientific computing, numerical\-methods implementation, expression parsing, and abstract syntax tree construction\.

### What AI and machine\-learning technologies does Rishvanth work with?

Rishvanth’s AI and machine\-learning skills include large language models, generative AI tools, RAG architecture, vector databases and embeddings, multimodal document processing, time\-series forecasting with LSTMs, computer vision and object detection, MediaPipe pose and hand tracking, and Florence\-2 vision\-language models\.

### What software\-development skills does Rishvanth have?

Rishvanth’s software and web\-development skills include React, TypeScript, vanilla JavaScript, DOM architecture, JavaScript library development and npm publishing, progressive web apps, offline\-first architecture, local storage, real\-time WebSocket architecture, browser APIs, cross\-tab communication, voice\-first AI interfaces, voice\-input UI design, gamification, UI prototyping, and software deployment\.

### What business and interdisciplinary skills does Rishvanth bring?

Rishvanth also has experience in algorithmic trading, backtesting and risk\-management systems, finance, business strategy, strategic partnerships, negotiation, budgeting, marketing, pitch development, entrepreneurship, management, leadership, communication, organization, teaching, web design, ethics, creativity and innovation, problem solving, time efficiency, big data, computer science, engineering, and STEM\.

### What is Rishvanth’s education?

Rishvanth is pursuing a Bachelor of Science in Data Science \(Engineering\) at Penn State University\. He also holds Penn State’s Business Fundamentals Certificate in Business Administration, Management and Operations and earned a high school diploma from Metea Valley\.

### What languages does Rishvanth speak?

Rishvanth speaks English, Spanish, Tamil, and Telugu\.

### What technical certifications does Rishvanth hold?

Rishvanth holds certifications in Foundations of AI and Machine Learning from Microsoft AI Ethics, Generative AI, and Large Language Models from Google and Data Analysis via Python & Java, Java Data Analysis, Java Programming, Python Data Analysis, and Python Programming from the University of Pennsylvania\.

### What additional certifications does Rishvanth hold?

Rishvanth also holds an Entrepreneurship and Small Business certification and a Black Belt Certification from World Class Tae Kwon Do\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/rishvanth\-amsaraj

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