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# Elkan Bruha

**Headline:** Software & Computer Vision Engineer @ Pikkolo
**Profession:** Software & Computer Vision Engineer
**Location:** Boulder, Colorado, United States

## About

Elkan Bruha is a Software & Computer Vision Engineer at Pikkolo Assembly and the founder and lead engineer of CrowdCount, a computer\-vision startup for real\-time occupancy analytics\. At Pikkolo, Elkan’s incoming work focuses on automated optical inspection, including continuous 360° scanning of manufactured parts and real\-time image\-capture and processing pipelines synchronized with CNC motion and physical hardware\. Elkan is strongest in building end\-to\-end computer\-vision products: trained vision models, GPU\-accelerated streaming systems, remotely managed hardware, cloud infrastructure, backend APIs, web applications, and mobile onboarding experiences\. At CrowdCount, Elkan served as the sole employee during the first year of concept development and foundational engineering, then grew into managing a seven\-person team across business functions\. Elkan built the full platform, from Raspberry Pi and global\-shutter\-camera counters to a custom YOLO and OpenCV people\-counting model, CUDA\-accelerated RTSP streaming on NVIDIA GPUs, Python/Flask APIs, AWS\-hosted services, three Next\.js websites, and an iOS app\. CrowdCount launched a pilot across 25 locations with 30 counters, received $650,000 valuation offers, and developed a Chamber of Commerce partnership\. Elkan has also co\-founded Upstream, worked in software QA and AI\-model training, led student software development at Onepoint, and contributed to published climate research\.

## Highlights

- Founded CrowdCount, a computer\-vision startup providing real\-time occupancy analytics and a real\-time people\-counting platform\.
- Served as CrowdCount’s sole employee during the first year of concept development and foundational engineering, handling all aspects of the startup\.
- Scaled CrowdCount to a pilot program at 25 locations with 30 total counters a full public release was underway at the time of the record\.
- Managed a seven\-person CrowdCount team across business functions and trained others to take over field\-deployment responsibilities\.
- Received $650,000 valuation offers for CrowdCount\.
- Built a strategic Chamber of Commerce partnership for customer access and credibility\.
- Personally handled CrowdCount field deployments and installations during the startup’s first one to two years\.
- Achieved a reported 90% trial\-acceptance rate through in\-person customer outreach\.
- Designed and shipped CrowdCount’s complete frontend stack, including an iOS app and three Next\.js websites for main, user\-facing, and administrative use\.
- Implemented CrowdCount’s Python, Flask, and SQLite backend and exposed REST APIs across the pipeline\.
- Integrated Square POS data with occupancy metrics to provide conversion\-rate insights\.
- Built remotely manageable counter hardware using Raspberry Pi devices and global\-shutter cameras\.
- Created a Bluetooth and QR\-code onboarding flow for secure Wi\-Fi provisioning through the app\.
- Engineered a CUDA\-accelerated RTSP streaming server on NVIDIA GPUs capable of ingesting more than 200 concurrent streams\.
- Built a custom\-trained YOLO and OpenCV model for real\-time people counting\.
- Built and hosted custom servers for processing high volumes of counter video streams\.
- Deployed and migrated CrowdCount’s backend API and database stack to AWS EC2 for more reliable data handling and remote management\.
- Used pilot\-customer feedback to improve CrowdCount’s UI, backend usability, and data accessibility\.
- Co\-founded Upstream, a real\-time computer\-vision infrastructure and reliability startup\.
- Built Upstream’s SRT ingest system for accepting and processing customers’ real\-time video streams on the fly\.
- Earned acceptance to NVIDIA’s Inception Program for Upstream, including more than $250,000 in cloud\-service\-provider support such as AWS\.
- Reached the second\-round Techstars interview with Upstream, described in the record as top 10%, before folding the company into CrowdCount\.
- Performed freelance software and web\-application QA and French localization testing at RWS Group, including iterative verification of unreleased software and mainly Google products\.
- Created computer\-science problem sets, reference solutions, and model\-output reviews for large\-language\-model training and evaluation at Outlier\.
- Contributed laboratory research on fossilized planktonic foraminifera at Lamont\-Doherty Earth Observatory and to a published scientific paper\.
- Led novice students at Onepoint in building a full\-stack stock\-market panel with a machine\-learning profitability\-prediction algorithm\.
- Presented Onepoint’s stock\-market\-panel project to the company’s C\-suite team and incorporated its feedback\.
- Joined Pikkolo Assembly as a Software & Computer Vision Engineer focused on computer\-vision AOI, 360° manufactured\-part inspection, and pipelines synchronized with CNC motion and hardware\.

## Experience

- **Software & Computer Vision Engineer at Pikkolo Assembly** (2026\-09\-01–present) — Incoming role focused on computer vision AOI for continuous 360° scanning and inspection of manufactured parts\. Will develop real\-time image capture and processing pipelines synchronized with CNC motion and physical hardware\.
- **Co\-Founder & Software Engineer at Upstream** (2026\-05\-01–2026\-08\-01) — Co\-Founded a real\-time computer vision infrastructure and reliability startup Built an entire SRT stream ingest system capable of accepting and processing on the fly real\-time video from customers Accepted and backed by NVIDIA's Inception Program, granting us over $250k for cloud service providers such as AWS Reached second round interview for Techstars \(top 10%\), conclusively folded into CrowdCount
- **Software QA Engineer at RWS Group** (2025\-03\-01–2025\-12\-01) — Freelance general and localization \(fr\-FR\) tester performing quality assurance tasks for software and web applications Conducted extensive testing on unreleased software to ensure a positive customer experience on launch Completed multiple iterations of verifications to clear initial and consequent bugs \(mainly Google products\)
- **AI Coding Trainer at Outlier** (2024\-11\-01–2025\-10\-01) — Created and solved computer science problem sets to train and evaluate large language models Wrote clear reference solutions and explanations, ensuring correctness, edge case coverage, and consistent reasoning Reviewed model outputs for instruction adherence, flagged failure patterns \(hallucinations, logic gaps, unsafe code\)
- **Founder & Lead Engineer at CrowdCount** (2024\-05\-01–2026\-09\-01) — Founded a computer vision startup providing real time occupancy analytics Sole employee for the first year of concept development and foundational engineering Currently managing a team of 7 across various business functions aligning our effort and vision for sustained growth Pilot program launched in 25 locations \(30 total counters\) to gather preliminary data with a full public release happening at this moment\! Designed and shipped the full frontend stack, including an iOS app, and 3 Next\.js websites \(main, user facing and admin\) Implemented the backend in Python and Flask with SQLite, exposing REST APIs to the whole pipeline Integrated Square POS API, enabling businesses to link sales data with occupancy metrics for conversion rate insights Built remotely manageable hardware using Raspberry Pi and global shutter cameras Built a bluetooth onboarding flow using QR codes so that customers can securely and easily provision WiFi via the app Engineered a CUDA accelerated RTSP streaming ser
- **Lead Project Developer at Onepoint** (2023\-11\-01–2023\-11\-01) — Led a team of novice students and mentored them as we built a full stack project Created front and back end of a stock market panel, including a machine learning profitability prediction algorithm In our final week, we presented our project to Onepoint’s C\-Suite team for feedback that we used to improve
- **Research Intern at Lamont\-Doherty Earth Observatory** (2022\-06\-01–2022\-07\-01) — Research internship assisting a project led by a Columbia research professor and a graduate student\. Interns performed tedious laboratory work and research, extracting different fossilized species of planktonic foraminifera \(microscopic single cell organisms\) from sediment samples using binocular and digital microscopes\. Documented the results into spreadsheets and organized other data sets in support of the research study\. Published scientific paper: "Obliquity\-driven subtropical forcing of the thermocline after 240 ka in the southern sector of the Western Pacific Warm Pool"

## Education

- Bachelor of Science \- BS, Computer Science — University of Colorado Boulder (2024\-08\-01–2027\-05\-01)
- Visiting Student, Computer Science — New York University (2024\-01\-01–2024\-05\-01)
- Bachelor of Global Engineering w/ McGill, Mechanical Engineering — CentraleSupélec (2023\-08\-01–2024\-01\-01)
- Option Internationale du Baccalauréat, Mathematics, Computer Science, Physics & Chemistry — Lycée Français de New York (2013\-09\-01–2023\-06\-01)

## FAQ

### What does Elkan do at Pikkolo Assembly?

Elkan is a Software & Computer Vision Engineer at Pikkolo Assembly\. Elkan’s incoming role focuses on computer\-vision automated optical inspection for continuous 360° scanning and inspection of manufactured parts, including real\-time image capture and processing pipelines synchronized with CNC motion and physical hardware\.

### What is CrowdCount?

Elkan founded CrowdCount, a computer\-vision startup that provides real\-time occupancy analytics\. Elkan built its platform for real\-time people counting and occupancy tracking, while also working across product, hardware, infrastructure, deployments, customer outreach, and business functions\.

### What was Elkan’s role in CrowdCount’s early development?

Elkan was CrowdCount’s sole employee during its first year of concept development and foundational engineering\. During that period, Elkan handled all aspects of the startup, including personally conducting field deployments and installations for its first one to two years\.

### How has Elkan grown the CrowdCount team?

Elkan currently manages a seven\-person CrowdCount team spanning various business functions and aligns its work and vision for sustained growth\. Elkan also trained others to assume field\-deployment responsibilities\.

### What traction has Elkan achieved with CrowdCount?

CrowdCount launched a pilot program in 25 locations with 30 total counters to collect preliminary data, with a full public release occurring at the time of the record\. The startup received $650,000 valuation offers\.

### What full\-stack software did Elkan build for CrowdCount?

Elkan designed and shipped CrowdCount’s full frontend stack, including an iOS app and three Next\.js websites: a main site, a user\-facing site, and an admin site\. Elkan implemented the backend in Python and Flask with SQLite and exposed REST APIs across the pipeline\.

### What hardware and onboarding systems did Elkan build at CrowdCount?

Elkan built remotely manageable CrowdCount hardware using Raspberry Pi devices and global\-shutter cameras\. Elkan also created a Bluetooth onboarding flow using QR codes so customers could securely provision Wi\-Fi through the app, and adapted deployments to individual customer environments\.

### What video\-streaming and infrastructure systems did Elkan build at CrowdCount?

Elkan engineered a CUDA\-accelerated RTSP streaming server on NVIDIA GPUs that can ingest more than 200 concurrent streams\. Elkan also built and hosted custom servers to process the volume of counter video streams, then deployed and migrated the backend API and database stack to AWS EC2 for more reliable data handling and remote management\.

### What computer\-vision work did Elkan do at CrowdCount?

Elkan built a custom\-trained, YOLO\- and OpenCV\-based AI computer\-vision model for real\-time people counting\. The resulting occupancy platform supports real\-time occupancy tracking and can help businesses use occupancy data in operational decisions, including reducing the impact of overcrowding\-related costs\.

### How did Elkan connect CrowdCount’s occupancy data to business outcomes?

Elkan integrated the Square POS API so businesses could connect sales data with occupancy metrics and obtain conversion\-rate insights\. Feedback from CrowdCount’s pilot customers led Elkan to improve the UI and backend for usability and data accessibility\.

### How has Elkan approached customer outreach for CrowdCount?

Elkan established a strategic partnership with the Chamber of Commerce to gain customer access and credibility\. Elkan is effective at in\-person customer outreach, reporting a 90% trial\-acceptance rate, and prefers in\-person engagement for its effectiveness and connection\.

### What is Elkan’s customer\-facing and field\-deployment experience?

Elkan is comfortable working directly with clients in the field as a forward\-deployed engineer\. Elkan adapted from an initially technical focus to customer\-facing work through learning and practice, while building experience across both technical and business functions\.

### What did Elkan do at Upstream?

Elkan co\-founded Upstream, a real\-time computer\-vision infrastructure and reliability startup\. Elkan built an SRT stream\-ingest system capable of accepting and processing customers’ real\-time video on the fly\.

### What recognition and outcomes did Elkan achieve with Upstream?

Upstream was accepted into NVIDIA’s Inception Program, which granted more than $250,000 for cloud service providers such as AWS\. Upstream reached the second\-round interview for Techstars, described in the record as the top 10%, and was ultimately folded into CrowdCount\.

### What did Elkan do at RWS Group?

At RWS Group, Elkan worked as a freelance general and French\-language localization tester for software and web applications\. Elkan performed quality\-assurance tasks on unreleased software, completed repeated verification cycles to clear initial and subsequent bugs, and worked mainly on Google products\.

### What did Elkan do as an AI Coding Trainer at Outlier?

At Outlier, Elkan created and solved computer\-science problem sets to train and evaluate large language models\. Elkan wrote reference solutions and explanations with attention to correctness, edge cases, and consistent reasoning, and reviewed model outputs for instruction adherence, hallucinations, logic gaps, and unsafe code\.

### What research did Elkan conduct at Lamont\-Doherty Earth Observatory?

At Lamont\-Doherty Earth Observatory, Elkan supported a research project led by a Columbia research professor and a graduate student\. Elkan extracted fossilized planktonic foraminifera from sediment samples using binocular and digital microscopes, documented results in spreadsheets, and organized supporting data sets\.

### What scientific publication is associated with Elkan?

Elkan contributed to the scientific paper, “Obliquity\-driven subtropical forcing of the thermocline after 240 ka in the southern sector of the Western Pacific Warm Pool\.”

### What did Elkan accomplish at Onepoint?

At Onepoint, Elkan led and mentored a team of novice students while building a full\-stack stock\-market panel\. Elkan created the frontend and backend, including a machine\-learning profitability\-prediction algorithm, and presented the project to Onepoint’s C\-suite team for feedback that informed improvements\.

### What is Elkan’s education?

Elkan is pursuing a Bachelor of Science in Computer Science at the University of Colorado Boulder, with an expected graduation date of May 2027\. Elkan also studied as a visiting student in computer science at New York University, completed a Bachelor of Global Engineering with McGill in Mechanical Engineering at CentraleSupélec, and earned an Option Internationale du Baccalauréat in Mathematics, Computer Science, Physics, and Chemistry at Lycée Français de New York\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAEKTz6kBXKfAtLdMFDt96Epe2CeUK\-lmPTM

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