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# Varun Vekaria

**Headline:** Full Stack AI Engineer \| Seeking Full\-time Opportunities\| Ex SDE at StudyPaq \| Ex Data Science Intern at RutgersIFH \| AWS, TypeScript, React, Agentic AI
**Profession:** Graduate Teaching Assistant
**Location:** New York City Metropolitan Area

## About

Varun Vekaria is a full\-stack AI engineer pursuing a Master of Science in Computer Science at Rutgers University–New Brunswick while serving as a Graduate Teaching Assistant in the Rutgers University Department of Computer Science\. Varun is seeking full\-time opportunities and brings experience across software engineering, applied AI, backend development, data science, fintech, and academic instruction\. Varun’s strengths include building scalable, efficient systems designing user\-focused web applications and taking ownership from problem definition through deployment and evaluation\. Varun created an end\-to\-end SEC tag engine using vectorless indexing, agentic retrieval\-augmented generation, and an MCP server deployment\. The work addressed complex SEC filing processing and citation traceability through HTML mapping, with benchmark datasets and systematic evaluation used to improve AI\-system accuracy\. Varun has also deployed applications on fly\.io, managed remote server infrastructure, and built MCP servers with multiple tools\. Previous experience includes Software Engineer roles at S\. J Finance and StudyPaq, an Application Developer role at Rutgers School of Health Professions, and a Data Science Internship at Rutgers Institute for Health, Health Care Policy and Aging Research\. Varun holds a Bachelor of Technology in Computer Engineering from Dwarkadas J\. Sanghvi College of Engineering\.

## Services

- Large Language Models \(LLM\)
- Flask
- Postman API
- MongoDB
- Git
- Python \(Programming Language\)
- Amazon Web Services \(AWS\)
- Docker
- Next\.js
- JavaScript
- Cascading Style Sheets \(CSS\)
- User Experience \(UX\)
- Firebase
- Figma \(Software\)
- Redux\.js
- React\.js
- Management
- Communication
- Leadership
- English
- Web Development
- HTML

## Highlights

- Created an end\-to\-end SEC tag engine with vectorless indexing, agentic RAG, and MCP server deployment\.
- Built systems for complex document processing, including SEC filings and citation systems\.
- Improved citation traceability through HTML mapping\.
- Used benchmark datasets and systematic evaluation to validate and improve AI\-system accuracy\.
- Applied advanced RAG architectures, including hierarchical indexing and agentic retrieval patterns\.
- Built and deployed MCP servers with multiple tools\.
- Deployed applications on fly\.io and managed remote server infrastructure\.
- Demonstrated end\-to\-end ownership from problem definition through deployment\.
- Completed J\.P\. Morgan’s SDE – College to Corporate Program with a backend\-development focus\.
- Gained hands\-on training in Python, Django, and Linux through J\.P\. Morgan’s expert\-led sessions\.
- Developed and deployed a live backend project during J\.P\. Morgan’s College to Corporate Program\.
- Presented a backend project to J\.P\. Morgan professionals and received feedback on code quality and design\.
- Serves as a current Graduate Teaching Assistant in the Rutgers University Department of Computer Science\.
- Served as a CS461 Machine Learning Principles Grader at Rutgers University Department of Computer Science\.
- Served as a CS520 Data Structures and Algorithm Grader at Rutgers University Department of Computer Science\.
- Worked as a Software Engineer at S\. J Finance\.
- Worked as a Software Engineer at StudyPaq\.
- Worked as an Application Developer at Rutgers School of Health Professions\.
- Completed a Data Science Internship at the Rutgers Institute for Health, Health Care Policy and Aging Research\.
- Completed a research internship at the Indian Institute of Technology, Patna\.
- Contributed in Autonomous Systems at DJS Racing\.
- Worked as a Frontend\-design developer at DJ Unicode\.
- Served as a Creatives Co\-committee Member at DJ Sanghvi ACM\.

## Experience

- **Graduate Teaching Assistant at Rutgers University Department of Computer Science** (2025\-08\-01–present)
- **CS520 Data Structures and Algorithm Grader at Rutgers University Department of Computer Science** (2025\-08\-01–2025\-12\-01)
- **Data Science Intern at Rutgers Institute for Health, Health Care Policy and Aging Research** (2025\-05\-01–2025\-09\-01)
- **Application Developer at Rutgers School of Health Professions** (2025\-05\-01–2025\-09\-01)
- **CS461 Machine Learning Principles Grader at Rutgers University Department of Computer Science** (2024\-08\-01–2025\-12\-01)
- **Software Engineer at S\. J Finance** (2023\-08\-01–2024\-08\-01)
- **Software Engineer at Studypaq** (2023\-05\-01–2023\-08\-01)
- **Research Internship at Indian Institute of Technology, Patna** (2023\-04\-01–2023\-10\-01)
- **SDE \- College to Corporate Program at J\.P\. Morgan** (2022\-01\-01–2023\-02\-01) — Participated in the SDE \- College to Corporate Program at J\.P\. • Morgan, focusing on backend development\. • Gained hands\-on experience with Python, Django, and Linux through expert\-led training sessions\. • Developed and deployed a live backend project, showcasing practical skills in a real\-world environment\. • Presented the project to J\.P\. • Morgan professionals, receiving constructive feedback on code quality and design\.
- **Creatives Co\-committee Member at DJ Sanghvi ACM** (2021\-10\-01–2022\-09\-01)
- **Frontend\-design developer at DJ Unicode** (2021\-08\-01–2022\-09\-01)
- **Autonomous Systems at DJS Racing** (2021\-04\-01–2022\-09\-01)

## Education

- Master of Science, Computer Science — Rutgers University–New Brunswick (2026\-05\-01)
- Bachelor of Technology, Computer Engineering — Dwarkadas J\. Sanghvi College of Engineering

## FAQ

### What does Varun do?

Varun is a full\-stack AI engineer pursuing a Master of Science in Computer Science at Rutgers University–New Brunswick\. Varun is also a current Graduate Teaching Assistant in the Rutgers University Department of Computer Science and is seeking full\-time opportunities\.

### What are Varun’s core strengths?

Varun is strongest in scalable and efficient software development, full\-stack web development, applied AI, large language models, advanced retrieval architectures, complex\-document processing, and end\-to\-end delivery\. Varun also emphasizes exceptional user experiences and applies creative instincts to solution design\.

### What AI project has Varun built?

Varun built an end\-to\-end SEC tag engine using vectorless indexing, agentic RAG, and an MCP server deployment\. The system addressed SEC filing processing, retrieval, citations, and deployment\.

### How has Varun approached SEC filings and citation traceability?

Varun has worked with complex documents, including SEC filings and citation systems\. Varun improved citation traceability by using HTML mapping\.

### How does Varun evaluate and improve AI retrieval systems?

Varun has experience with advanced RAG architectures, including hierarchical indexing and agentic retrieval patterns\. Varun used benchmark datasets and systematic evaluation to validate AI\-system accuracy and iterated from weaker results toward improved accuracy\.

### What deployment and infrastructure experience does Varun have?

Varun has deployed applications on fly\.io, managed remote server infrastructure, and built and deployed MCP servers with multiple tools\. Varun prioritizes taking systems from problem definition through deployment\.

### What was Varun’s role at S\. J Finance?

Varun has worked as a Software Engineer at S\. J Finance, contributing professional software\-engineering experience in a finance\-related setting\.

### What was Varun’s role at StudyPaq?

Varun worked as a Software Engineer at StudyPaq\.

### What was Varun’s role at Rutgers School of Health Professions?

Varun worked as an Application Developer at Rutgers School of Health Professions\.

### What research experience does Varun have?

Varun completed a research internship at the Indian Institute of Technology, Patna\.

### What did Varun do in J\.P\. Morgan’s College to Corporate Program?

Varun participated in J\.P\. Morgan’s SDE – College to Corporate Program, focusing on backend development\. Varun received expert\-led training in Python, Django, and Linux developed and deployed a live backend project and presented it to J\.P\. Morgan professionals, receiving feedback on code quality and design\.

### What data science experience does Varun have?

Varun was a Data Science Intern at the Rutgers Institute for Health, Health Care Policy and Aging Research\.

### What teaching and grading roles has Varun held at Rutgers?

Varun is a current Graduate Teaching Assistant in the Rutgers University Department of Computer Science\. Varun has also served as a CS461 Machine Learning Principles Grader and a CS520 Data Structures and Algorithm Grader in the department\.

### What student technical and organizational experience does Varun have?

Varun has experience in Autonomous Systems at DJS Racing, worked as a Frontend\-design developer at DJ Unicode, and served as a Creatives Co\-committee Member at DJ Sanghvi ACM\.

### What is Varun’s educational background?

Varun is pursuing a Master of Science in Computer Science at Rutgers University–New Brunswick and holds a Bachelor of Technology in Computer Engineering from Dwarkadas J\. Sanghvi College of Engineering\.

### What technologies and professional skills does Varun use?

Varun’s listed technical skills include Large Language Models, Python, Flask, Postman API, MongoDB, Git, AWS, Docker, Next\.js, JavaScript, CSS, Firebase, Figma, Redux\.js, React\.js, HTML, web development, and user experience\. Varun also lists management, communication, leadership, and English\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/varun\-vekaria\-a5836a1b2

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