cv
Basics
| Name | Gowtham Arulmozhi |
| gowtham.arulmozhii@gmail.com | |
| Phone | 541-286-2416 |
| Url | https://gowthamarul.com |
| Summary | Fullstack AI/ML Engineer building production-grade intelligent systems across AI/ML, backend engineering, and cloud infrastructure. Experienced in shipping real-time AI applications, scalable data pipelines, and fault-tolerant distributed systems. |
| Location | Santa Clara, CA |
Work
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2025.09 - Present Remote, USA
Fullstack AI/ML Engineer
Beaverhand Inc.
Led 0-to-1 architecture of an AI-native recruitment platform with real-time AI interview engines, multi-modal recording pipelines, and async multi-agent evaluation backends. Deployed on GCP with Cloud Run, Docker, and Supabase Edge Functions.
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2024.03 - 2024.12 Corvallis, OR, USA
Data Scientist
Oregon State University
Built schema mapping system for NIH Translator project using Word2Vec and LLMs to generate SQL views. Designed benchmarking framework achieving 82% precision and 73% recall for LLM-generated SQL queries.
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2021.08 - 2023.09 Chennai, TN, India
Software Engineer
National Payments Corporation of India
Built fraud detection pipelines, license plate recognition systems, and fault-tolerant high-availability platforms processing 10M+ daily transactions. Developed observability for India's Central Bank Digital Currency (CBDC).
Education
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2023.09 - 2025.06 Corvallis, OR, USA
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2017.07 - 2021.05 Chennai, TN, India
Bachelor of Engineering
SSN College of Engineering, Anna University
Electronics and Communication Engineering
Certificates
| HashiCorp Terraform Associate | ||
| HashiCorp |
| AWS Certified Cloud Practitioner | ||
| Amazon Web Services (AWS) |
| Certified Kubernetes Administrator | ||
| Linux Foundation |
| AWS Solutions Architect - Associate | ||
| Amazon Web Services (AWS) |
Skills
| Languages | |
| Python, C, C++, SQL, Golang, MATLAB, TypeScript, HTML/CSS, Git |
| ML Libraries | |
| PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, PySpark, Apache Spark, JAX |
| Machine Learning | |
| Multimodal Models, LLMs, LMMs, VLMs, Computer Vision, Training/Optimization, Fine-Tuning, LoRA |
| Frameworks & Libraries | |
| HuggingFace Transformers, OpenCV, NLTK, Django, Flask |
| Cloud & Platforms | |
| AWS, Azure, Kubernetes, Docker |
Leadership / Extracurricular
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2017 - 2022
Publications
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2020.11 Detection of Arrhythmia using ECG waves with Deep Convolutional Neural Networks
Gowtham Arulmozhi
This work explores the use of deep convolutional neural networks (CNNs) to automatically detect arrhythmias from ECG waveforms, aiming to improve early diagnosis by learning complex patterns in cardiac signals.