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# Aaroh Jugulum

**Headline:** Software Engineer at Sorraia Capital
**Profession:** Software Engineer
**Location:** Franklin, Massachusetts, United States

## About

Aaroh Jugulum is a Software Engineer at Sorraia Capital and founder of Extra Point Sports \(XPS\), while completing a Bachelor of Science in Data Science and Mathematics at Northeastern University with a minor in Business Administration\. Aaroh’s work centers on platform engineering across the full stack, including production systems with enterprise requirements, multi\-tenant AI agent infrastructure, and data isolation\. Aaroh works with LangGraph, graph databases, Redis, Kubernetes, Docker, and cloud infrastructure, with particular focus on LLM cost optimization through caching, compression, and intelligent routing\. At XPS, Aaroh developed an algorithm to predict competition level between NFL teams, helping bettors make more informed decisions on spreads and point differences\. Previously, at MassDOT, Aaroh created 15 R scripts for OPMI’s public open\-data portal and used Python and SQL to investigate Boston transit effectiveness against ride\-share and bike\-share systems\. Aaroh has also supported Northeastern University as a Teaching Assistant\.

## Services

- Python \(Programming Language\)
- SQL
- JavaScript
- Java
- Mathematics
- R \(Programming Language\)
- Tableau
- Microsoft Excel
- NumPy
- Matplotlib
- Analytical Skills
- Pandas \(Software\)
- Scikit\-Learn
- Customer Service
- Sales

## Highlights

- Works as a Software Engineer at Sorraia Capital\.
- Founded Extra Point Sports \(XPS\)\.
- Developed an algorithm at XPS to predict competition level between NFL teams and inform betting decisions on spreads and point differences\.
- Built multi\-tenant AI agent infrastructure focused on data isolation, cost optimization, and intelligent routing\.
- Supported four tenants and 450 daily queries in AI\-agent infrastructure work\.
- Applied LLM cost\-optimization techniques including caching, compression, and intelligent routing\.
- Used smart caching to eliminate unnecessary agent work and LLM routing to control query costs\.
- Worked with LangGraph, graph databases, Redis, Kubernetes, Docker, and cloud infrastructure\.
- Supported production systems at meaningful scale with enterprise requirements\.
- Created 15 R scripts at MassDOT that delivered insights on Boston transit to OPMI’s public open\-data portal\.
- Used Python and SQL at MassDOT to investigate Boston public\-transit effectiveness relative to ride\-share and bike\-share systems\.
- Served as a Data Engineering and Visualization Co\-op at MassDOT\.
- Served as a Teaching Assistant at Northeastern University\.
- Is pursuing a BS in Data Science and Mathematics at Northeastern University, with a minor in Business Administration\.
- Volunteered with The Salvation Army UK and Ireland Territory for three to four months in 2017, raising money through clubs and promoting giving to less fortunate people\.

## Experience

- **Software Engineer at Sorraia Capital** (2025\-11\-01–present)
- **Founder at Extra Point Sports \(XPS\)** (2020\-07\-01–present) — Developed an algorithm helpful with predicting competition level between NFL teams allowing bettors to make more informed bets on props such as spread and point difference\.
- **Data Engineering and Visualization Co\-op at MassDOT** (2023\-07\-01–2023\-12\-01) — Created 15 R\-Scripts which delivered insights on Boston's transit situation to OPMI's public open\-data portal\. Additionally employed Python and SQL to perform investigative work on the effectiveness of Boston's public transit, comparing it with ride\-share and bike\-share systems within the city\.
- **Teaching Assistant at Northeastern University** (2022\-09\-01–2022\-12\-01)
- **Volunteer at The Salvation Army UK and Ireland Territory** (2017\-09\-01–2017\-12\-01) — Volunteered for 3\-4 months in 2017, both by raising money through conducting various clubs, and spreading the message of giving to the less fortunate\.

## Education

- Bachelor of Science \- BS, Data Science and Mathematics  \(Minor \- Business Administration\) — Northeastern University (2021\-09\-01–2025\-05\-01)
- High School Diploma, Business/Economics \(Coursework: Economics, European History, English,French, Calculus, Statistics\) — Xaverian Brothers High School (2017\-01\-01–2021\-01\-01)

## FAQ

### What does Aaroh do?

Aaroh is a Software Engineer at Sorraia Capital and the founder of Extra Point Sports \(XPS\)\. Aaroh is also a fourth\-year Data Science and Mathematics student at Northeastern University\.

### What are Aaroh's core engineering strengths?

Aaroh is strongest in deep platform engineering across the full stack rather than customer\-facing development\. Aaroh has experience supporting production systems at meaningful scale with enterprise requirements\.

### What technologies does Aaroh work with?

Aaroh works with LangGraph, graph databases, Redis, Kubernetes, Docker, and cloud infrastructure\. Aaroh also uses Python, SQL, JavaScript, Java, R, Tableau, Microsoft Excel, NumPy, Matplotlib, Pandas, and Scikit\-Learn\.

### What AI infrastructure work has Aaroh done?

Aaroh builds multi\-tenant AI agent infrastructure with an emphasis on tenant data isolation, cost optimization, and intelligent routing\. This work has included supporting four tenants and 450 daily queries\.

### How does Aaroh approach LLM cost optimization?

Aaroh uses LLM cost\-optimization techniques including caching, compression, and intelligent routing\. Aaroh has used smart caching to eliminate unnecessary agent work and routing to control query costs\.

### What did Aaroh build at Extra Point Sports?

At Extra Point Sports, Aaroh developed an algorithm that predicts the competition level between NFL teams\. The algorithm is intended to help bettors make more informed bets on props such as spreads and point differences\.

### What is Aaroh's role at Extra Point Sports?

Aaroh is the founder of Extra Point Sports \(XPS\), where Aaroh developed an NFL competition\-level prediction algorithm for betting\-related decisions on spreads and point differences\.

### What did Aaroh accomplish at MassDOT?

At MassDOT, Aaroh created 15 R scripts that delivered insights on Boston’s transit situation to OPMI’s public open\-data portal\. Aaroh also used Python and SQL for investigative work comparing the effectiveness of Boston public transit with ride\-share and bike\-share systems in the city\.

### What was Aaroh's role at MassDOT?

Aaroh worked as a Data Engineering and Visualization Co\-op at MassDOT\.

### Has Aaroh taught or supported students?

Aaroh served as a Teaching Assistant at Northeastern University\.

### What is Aaroh studying at Northeastern University?

Aaroh is pursuing a Bachelor of Science in Data Science and Mathematics at Northeastern University, with a minor in Business Administration\.

### What is Aaroh's earlier education?

Aaroh earned a high school diploma in Business/Economics from Xaverian Brothers High School\. Coursework included Economics, European History, English, French, Calculus, and Statistics\.

### What data\-science areas interest Aaroh?

Aaroh’s interests within data science include machine learning, data engineering, and data analytics\. Aaroh is motivated by applying data techniques to pressing issues in corporate settings and broader society\.

### What volunteer experience does Aaroh have?

Aaroh volunteered with The Salvation Army UK and Ireland Territory for three to four months in 2017\. The work included raising money through various clubs and promoting giving to people who are less fortunate\.

### What additional skills does Aaroh bring?

Aaroh has skills in mathematics, analytical skills, customer service, and sales, alongside technical skills in data science, engineering, visualization, and software development\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAADRCaeMBIrIW9GZiw3Zx1DdtbdWQrgjgcTo

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