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# Rohan Kallur

**Headline:** SWE @ AvaWatz \| B\.S in Computer Science @ Stevens
**Profession:** Software Engineer
**Location:** Hoboken, New Jersey, United States

## About

Rohan Kallur is a Software Engineer at AVAWATZ and a recent Stevens Institute of Technology graduate with a Bachelor of Science in Computer Science and a minor in finance\. Rohan brings full\-stack development experience across blockchain, artificial intelligence and machine learning, and financial analysis\. His strongest work spans production\-oriented machine learning, including YOLO segmentation, active learning, data annotation, and model deployment\. In a remote internship at an AI startup developing a dental ML product, Rohan has owned the full ML pipeline from annotation through production deployment, improving MAP by 6% and reducing bad detections by 10–15x through active learning\. Rohan has also conducted NSF\-funded AI/ML research on the Future of Work with Columbia University and Syracuse University, researching NLP and generative\-AI models for computational journalism\. Earlier, he built an open\-source Solidity token\-authenticator smart contract for Ethereum at Netki and developed a vendor\-consolidation and spending\-reduction plan at ProSmile\. Rohan graduated in May 2024 and prioritizes opportunities for growth, mentorship, collaboration, and meaningful project impact\.

## Services

- PyTorch
- Machine Learning
- PostgreSQL
- REST APIs
- TypeScript
- Next\.Js 16
- Tailwind CSS
- React 19
- Solidity
- Blockchain
- Smart Contracts
- Cybersecurity
- Data Structures
- Computer Science
- Algorithms
- Jupyter
- Natural Language Processing \(NLP\)
- Large Language Models \(LLM\)
- Generative AI
- Amazon Web Services \(AWS\)
- Git
- Microsoft Excel
- Data Analysis
- Financial Planning
- Financial Analysis
- Hugo
- Cascading Style Sheets \(CSS\)
- HTML
- C \(Programming Language\)
- C\+\+

## Highlights

- Works as a Software Engineer at AVAWATZ\.
- Graduated from Stevens Institute of Technology in May 2024 with a Bachelor of Science in Computer Science and a minor in finance\.
- Owned a dental ML product’s full machine\-learning pipeline, from data annotation through production deployment\.
- Improved MAP by 6% through active\-learning work\.
- Reduced bad detections by 10–15x through active learning\.
- Worked with YOLO segmentation, active learning, and production model deployment\.
- Created an open\-source token authenticator smart contract in Solidity for the Ethereum blockchain during a Software Development Internship at Netki\.
- Conducted NSF\-funded AI/ML research on the Future of Work at the Human Technology Frontier in collaboration with Columbia University and Syracuse University\.
- Researched NLP and generative\-AI models and created interactive tools to advance computational journalism\.
- Built a generative\-AI API project that analyzed pictures and created news headlines using vector similarities\.
- Analyzed company spending across more than 100 unique vendors and more than 50 dental health practices at ProSmile\.
- Categorized vendors and consolidated funds over a 15\-month period at ProSmile\.
- Created a ProSmile plan to reduce spending by 20% and consolidate vendors for merging practices\.
- Negotiated reduced pricing for wholesale goods with large vendors at ProSmile\.

## Experience

- **Software Engineer at AVAWATZ** (2026\-05\-01–present)
- **Software Development Intern at Netki** (2024\-06\-01–2024\-08\-01) — Created an open\-source token authenticator smart contract using Solidity for the Ethereum Blockchain\.
- **Research Assistant at National Science Foundation \(NSF\)** (2023\-01\-01–2023\-05\-01) — Worked on NSF funded artificial intelligence/machine learning research on the Future of Work at the Human Technology Frontier in collaboration with Columbia University and Syracuse University Researched NLP and Generative AI models, creating interactive tools to advance computational journalism Worked to create a project using Generative AI API's to analyze pictures and create news headlines utilizing vector similarities
- **Financial Planning and Data Analysis Intern at ProSmile** (2022\-05\-01–2022\-08\-01) — Analyzed company spending of over 100 unique vendors through over 50 different dental health practices\. Categorized the vendors and consolidated funds over a 15 month period\. Created a plan to reduce spending by 20% and consolidate vendors for merging practices\. Negotiated with large vendors for reduced pricing of wholesale goods\.

## Education

- Bachelor's degree, Computer Science — Stevens Institute of Technology (2021\-01\-01–2025\-01\-01)

## FAQ

### What does Rohan do?

Rohan is a Software Engineer at AVAWATZ\. He also has experience as a remote intern at an AI startup working on a dental machine\-learning product\.

### What are Rohan’s core strengths?

Rohan’s strengths include full\-stack development, machine learning, blockchain and smart contracts, NLP and generative AI, data analysis, and financial planning and analysis\. He has worked with YOLO segmentation, active learning, model deployment, and end\-to\-end ML workflows\.

### What is Rohan’s role at AVAWATZ?

At AVAWATZ, Rohan works as a Software Engineer\.

### What has Rohan done on a dental ML product?

Rohan has owned the full machine\-learning pipeline for a dental ML product, from data annotation through production deployment\. His work has included YOLO segmentation and active\-learning iteration to improve model performance\.

### What measurable ML results has Rohan achieved?

Rohan achieved a 6% MAP improvement and reduced bad detections by 10–15x through active learning\.

### What did Rohan accomplish at Netki?

At Netki, Rohan created an open\-source token authenticator smart contract using Solidity for the Ethereum blockchain\.

### What was Rohan’s NSF research experience?

As a National Science Foundation research assistant, Rohan worked on NSF\-funded AI/ML research on the Future of Work at the Human Technology Frontier in collaboration with Columbia University and Syracuse University\.

### What did Rohan work on in computational journalism research?

Rohan researched NLP and generative\-AI models and created interactive tools intended to advance computational journalism\. He also worked on a project using generative\-AI APIs to analyze pictures and create news headlines using vector similarities\.

### What did Rohan accomplish at ProSmile?

At ProSmile, Rohan analyzed spending across more than 100 unique vendors and more than 50 dental health practices\. He categorized vendors, consolidated funds over a 15\-month period, created a plan to reduce spending by 20% and consolidate vendors for merging practices, and negotiated reduced wholesale\-goods pricing with large vendors\.

### What is Rohan’s education?

Rohan earned a Bachelor of Science in Computer Science from Stevens Institute of Technology, with a minor in finance\. He graduated in May 2024\.

### What technical tools and skills does Rohan use?

Rohan works with PyTorch, machine learning, PostgreSQL, REST APIs, TypeScript, Next\.js 16, Tailwind CSS, React 19, Solidity, blockchain, smart contracts, cybersecurity, data structures, algorithms, Jupyter, NLP, large language models, generative AI, AWS, Git, Microsoft Excel, data analysis, financial planning, financial analysis, Hugo, CSS, HTML, C, C\+\+, JavaScript, Java, and Python\.

### What does Rohan look for in professional opportunities?

Rohan prioritizes growth opportunities, mentorship, collaborative work, and projects with real impact\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAADhpXUYBYsZ03P9w83JvaufNs2tp0QQXO\_w

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