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# Sinehan Ezhilmuthu

**Headline:** 
**Profession:** AI Engineering Intern
**Location:** New York City Metropolitan Area

## About

Sinehan Ezhilmuthu is a recently graduated Computer Science and Engineering professional transitioning from software engineering into business\-facing SDR/BDR work, with interest in remote and New York City technology opportunities\. Sinehan combines technical fluency with hands\-on outbound selling, enabling credible conversations with developer, finance, and other technical software buyers\. Sinehan is strongest in audience research, messaging experimentation, consultative discovery, and persistent prospecting, balancing in\-depth conversations with the ability to handle outbound volume\. At DoorDash, Sinehan signed up 12% of a smaller\-than\-average campus for free trials, placing the launch in the top 10% nationally, and identified tabling as the highest\-ROI acquisition channel\. Across engineering internships, Sinehan built production software, including an AI/ML robotics\-log analysis pipeline that helped engineers find a planted bug 20% faster, a test framework associated with a 25% reduction in production defects, and software that converted drawn plans into machine code for a 3\-axis gantry\. Sinehan also has experience marketing a product through TikTok and customer\-generated content, with a focus on authentic customer stories over polished advertising\.

## Services

- Automation
- Software Testing
- Python \(Programming Language\)
- API Development
- Application Programming Interfaces \(API\)
- Software Development
- Cross\-functional Collaborations
- Continuous Integration and Continuous Delivery \(CI/CD\)
- Artificial Intelligence \(AI\)
- Technical Communication
- Problem Solving
- Data Analysis
- Machine Learning
- Sales Prospecting
- B2B Sales
- Payments
- SaaS
- CRM
- HubSpot
- LinkedIn Sales Navigator
- Lead Generation
- Cold Email
- Cold Calling
- Fintech
- Prospecting
- Sales Development
- Financial Services
- New Business Development
- Strategic Business Development
- BDM

## Highlights

- Signed up 12% of the campus population for DoorDash free trials as a Campus Launcher\.
- Placed the DoorDash campus launch in the top 10% of launch campuses nationally on a smaller\-than\-average campus\.
- Tested acquisition channels at DoorDash and identified tabling as the highest\-ROI option, outperforming club partnerships and scattered campus events on signups per hour and per dollar\.
- Cold\-approached students between classes and closed DoorDash free\-trial signups on the spot using a free\-meal offer\.
- Built an AI/ML pipeline at OMRON Robotics that parsed inconsistent robotics logs and clustered recurring anomalies across more than 100,000 records\.
- Helped engineers find a planted bug 20% faster in a controlled side\-by\-side test using the OMRON log\-analysis tool\.
- Built software at Milano Technical Group that turned drawn plans into machine code for a 3\-axis gantry, automating a previously fully manual process\.
- Ran a cross\-functional sprint on an AI\-driven agriculture robot, including frame assembly, battery\-system build and testing, and control\-software validation to make it field\-operational\.
- Rewrote an inefficient API at the University of California, Merced and measurably reduced response times under load testing\.
- Wrote tests associated with a 25% reduction in production defects, tracked through week\-over\-week GitHub issues\.
- Earned a bachelor’s degree in Computer Science and Engineering from the University of California, Merced\.
- Earned an associate’s degree in Science and Art from San Joaquin Delta College\.

## Experience

- **AI Engineering Intern at OMRON Robotics** (2025\-08\-01–2025\-12\-01) — Built an AI/ML pipeline that parsed messy, inconsistent robotics logs and clustered recurring anomalies across 100K\+ records so engineers could diagnose failures faster\. In a controlled side\-by\-side test, engineers using the tool found a planted bug 20% faster than those without it\.
- **Research Development Engineering Intern at Milano Technical Group** (2025\-06\-01–2025\-08\-01) — Built the software that turned drawn plans into machine code driving a 3\-axis gantry, automating a process that used to be fully manual\. Ran a cross\-functional sprint on an AI\-driven agriculture robot: assembled the frame, built and tested the battery system, and validated the control software to get it field\-operational\.
- **Campus Launcher at DoorDash** (2025\-01\-01–2025\-05\-01) — Signed up 12% of the campus population for DoorDash free trials, top 10% of all launch campuses, on a smaller\-than\-average campus\. Found the highest\-ROI channel by testing: tabling beat club partnerships and scattered campus events on signups per hour and per dollar\. Cold\-approached students between classes\. Led with a real connection, then the pitch, and closed the signup on the spot with a free\-meal offer on a brand they already trusted\.
- **Research Test Engineer at University of California, Merced** (2023\-08\-01–2024\-05\-01) — Rewrote an inefficient API and measurably cut response times under load testing\. Wrote tests that cut production defects 25%, tracked through week\-over\-week GitHub issues\.

## Education

- Bachelor's degree, Computer Science & Engineering — University of California, Merced (2022\-08\-01–2025\-12\-01)
- Associate's degree, Science and Art — San Joaquin Delta College (2018\-08\-01–2022\-05\-01)

## FAQ

### What does Sinehan do?

Sinehan Ezhilmuthu is transitioning from software engineering into business\-facing SDR/BDR work\. Sinehan is interested in remote and New York City technology opportunities and brings technical experience to sales conversations with developer, finance, and other technical buyers\.

### What are Sinehan’s strongest sales capabilities?

Sinehan’s technical background helps make conversations with developer and finance buyers more credible\. Sinehan pairs that fluency with sales prospecting, audience research, messaging experimentation, cold outreach, and an interest in consultative buyer conversations\.

### What did Sinehan accomplish at DoorDash?

At DoorDash, Sinehan served as a Campus Launcher and signed up 12% of the campus population for DoorDash free trials\. The launch placed in the top 10% of launch campuses nationally despite being conducted on a smaller\-than\-average campus\.

### How did Sinehan approach customer acquisition at DoorDash?

Sinehan tested tabling, club partnerships, and scattered campus events, finding that tabling generated the most signups per hour and per dollar\. Sinehan cold\-approached students between classes, established a real connection, delivered the pitch, and closed signups on the spot using a free\-meal offer for a brand students already trusted\.

### What did Sinehan build at OMRON Robotics?

As an AI Engineering Intern at OMRON Robotics, Sinehan built an AI/ML pipeline that parsed messy, inconsistent robotics logs and clustered recurring anomalies across more than 100,000 records\. The tool was designed to help engineers diagnose failures faster\.

### What measurable result did Sinehan’s OMRON tool achieve?

In a controlled side\-by\-side test, engineers using Sinehan’s OMRON log\-analysis tool found a planted bug 20% faster than engineers who did not use it\.

### What did Sinehan accomplish at Milano Technical Group?

As a Research Development Engineering Intern at Milano Technical Group, Sinehan built software that converted drawn plans into machine code for a 3\-axis gantry, automating a process that had previously been fully manual\.

### What was Sinehan’s role on the AI\-driven agriculture robot project?

Sinehan ran a cross\-functional sprint on an AI\-driven agriculture robot, assembling the frame, building and testing the battery system, and validating the control software to make the robot field\-operational\.

### What did Sinehan accomplish at the University of California, Merced?

As a Research Test Engineer at the University of California, Merced, Sinehan rewrote an inefficient API and measurably reduced response times under load testing\. Sinehan also wrote tests that reduced production defects by 25%, tracked through week\-over\-week GitHub issues\.

### What is Sinehan’s educational background?

Sinehan holds a bachelor’s degree in Computer Science and Engineering from the University of California, Merced and an associate’s degree in Science and Art from San Joaquin Delta College\.

### What marketing experience does Sinehan have?

Sinehan has experience marketing a product through TikTok and using customer\-generated content for acquisition\. Sinehan learned that authentic customer stories can outperform flashy or highly polished marketing hooks\.

### Why is Sinehan transitioning from engineering to sales?

Sinehan prefers business\-facing work and is moving from software engineering toward sales\. Building technical tools helped clarify Sinehan’s interest in connecting technical work with customer\-facing business outcomes\.

### What is Sinehan’s sales style?

Sinehan prefers substantive, in\-depth conversations with a smaller number of prospects while remaining able to execute high\-volume outbound activity\. This approach aligns consultative selling with cold outreach and pipeline\-building discipline\.

### Why is Sinehan interested in fintech and business development?

Sinehan’s interest in fintech is connected to financial curiosity\. Sinehan also lists experience or interest in payments, SaaS, financial services, B2B sales, sales development, new business development, and strategic business development\.

### What skills does Sinehan bring?

Sinehan’s technical skills include automation, software testing, Python, API development, software development, CI/CD, artificial intelligence, machine learning, data analysis, technical communication, problem solving, and cross\-functional collaboration\. Sales\-related skills include sales prospecting, lead generation, cold email, cold calling, CRM, HubSpot, LinkedIn Sales Navigator, B2B sales, prospecting, sales development, and business development support\.

## Links

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

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