Available to hire
I am an ML/MLOps Engineer who bridges ML development and operational deployment. I apply algorithms and MLOps practices to build reliable models, create end-to-end pipelines, and monitor performance across stages of development and production.
I collaborate across teams to optimize workflows, drive innovation, and translate data-driven insights into scalable solutions that empower organizations to make smarter decisions.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Lead ML Engineer at Neptie
June 30, 2025 - September 7, 2025Developed advanced Magic Card recognition/Card Condition Classification. Developed Deepfake detection model. Researched and developed AI agent to fix code bugs. Card Name Matching using NLTK. Fine-tune LLM Model using Q LoRa.
Lead ML Engineer at Neptie
June 30, 2025 - September 7, 2025Developed advanced Magic Card recognition and Card Condition Classification; built Deepfake detection model; researched and developed an AI agent to fix code bugs; Card Name Matching using NLTK; fine-tuned LLM model using Q LoRa.
Lead ML Engineer at Neptie
June 30, 2025 - September 5, 2025Developed advanced Magic Card recognition and card condition classification models. Created a deepfake detection model and researched AI agents to automatically fix code bugs. Implemented card name matching using NLTK and fine-tuned large language models with Q Lora. Worked remotely with a Miami-based company focusing on innovative machine learning applications.
Lead ML Engineer at Neptie
June 1, 2025 - September 7, 2025Led ML engineering efforts, developing advanced Magic Card recognition and card condition classification, deepfake detection, and AI agents for code debugging; performed Card Name Matching using NLTK and fine-tuned LLMs with QLora.
Lead ML Engineer at Neptie
June 1, 2025 - September 7, 2025Remote ML/ML Ops-focused role: developed advanced Magic Card recognition and Card Condition Classification; built a Deepfake detection model; researched and developed an AI agent to fix code bugs; Card Name Matching using NLTK; fine-tuned LLMs with QLoRA.
Machine Learning Engineer at Raw Yoga
April 30, 2024 - September 7, 2025Developed a real-time yoga action detection system using MediaPipe framework. Built a serverless application to reliably deliver insights using AWS Lambda, AWS EC2, AWS S3, AWS Glue and SQS. Implementation of neural ODE on classification of basic singular images. Medical data segmentation and database management (Brain CT, Skin Cancer Classification using EfficientNet). Quantum Fourier Transform using Qiskit.
Machine Learning Engineer at Raw Yoga
April 30, 2024 - September 7, 2025Developed a real-time yoga action detection system using MediaPipe; built a serverless application to reliably deliver insights via AWS Lambda, EC2, S3, Glue and SQS; implemented neural ODE for image classification; conducted medical data segmentation and brain CT / skin cancer classification; performed Quantum Fourier Transform experiments with Qiskit.
Machine Learning Engineer at Raw Yoga
April 30, 2024 - September 5, 2025Developed a real-time yoga action detection system using MediaPipe framework. Built serverless applications using AWS Lambda, EC2, S3, Glue, and SQS to deliver insights reliably. Implemented neural ODE for image classification and worked on medical data segmentation and skin cancer classification using EfficientNet. Conducted research on Quantum Fourier Transform using Qiskit. Remote role based in Oslo, Norway.
Machine Learning Engineer at Raw Yoga
April 1, 2024 - September 7, 2025Developed real-time yoga action detection using MediaPipe; built serverless data delivery with AWS Lambda, EC2, S3, Glue and SQS; explored neural ODEs for image classification; contributed to medical data segmentation and cancer imaging projects; experimented with Qiskit for Quantum Fourier Transform.
Machine Learning Engineer at Raw Yoga
April 1, 2024 - September 7, 2025Real-time yoga action detection using MediaPipe; built a serverless insights platform on AWS (Lambda, EC2, S3, Glue, SQS); implemented neural ODE for image classification; medical data segmentation and DB management (Brain CT, Skin Cancer with EfficientNet); Quantum Fourier Transform using Qiskit.
Data Scientist at Filecoin
January 31, 2023 - September 7, 2025Built dashboards in Dune and QuickSight. Implemented token mapping, rewards systems, and airdrop allocation scenarios. Handled big data with Athena, Snowflake, ClickHouse, and PySpark. Performed ETL with AWS DataLake, Glue, Redshift, Oracle, DocumentDB, and PostgreSQL. Conducted Cryptocurrency Security analyses, web scraping (BS4, Selenium), and TON network scripting.
Data Scientist at Filecoin
January 31, 2023 - September 7, 2025Built dashboards (Dune, QuickSight); developed token reward and airdrop allocation scenarios; handled big data using Athena, Snowflake, ClickHouse, and PySpark; conducted ETL with AWS Data Lake, Glue, Redshift, Oracle; contributed to cryptocurrency security and nonce analysis for ASIC; collected data via web scraping; TON network scripting.
Data Scientist at Filecoin
January 31, 2023 - September 5, 2025Built dashboards with Dune and QuickSight and developed token reward and airdrop systems. Managed big data using Athena, Snowflake, ClickHouse, and PySpark. Handled ETL processes with AWS DataLake, Glue, Redshift, Oracle, DocumentDB, and PostgreSQL. Focused on cryptocurrency security using spectrographic analysis and nonce analysis for ASIC. Utilized web scraping technologies like BeautifulSoup and Selenium. Worked remotely with a US-based company.
Data Scientist at Filecoin
January 1, 2023 - September 7, 2025Built dashboards (Dune, QuickSight); designed token reward and airdrop scenarios; handled big data with Athena, Snowflake, ClickHouse, PySpark; performed ETL in AWS Data Lake, Glue, Redshift, Oracle, DocumentDB, and PostgreSQL; contributed to cryptocurrency security and nonce analysis; collected data via web scraping; worked on TON network scripting.
Data Scientist at Filecoin
January 1, 2023 - September 7, 2025Built dashboards (Dune, QuickSight); designed token-to-point mapping, rewards, and airdrop allocation; handled big data with Athena, Snowflake, ClickHouse, and PySpark; ETL on AWS Data Lake (Glue, Redshift) and databases (Oracle, DocumentDB, PostgreSQL); contributed to security analytics and TON scripting.
Junior ML Engineer at TOYOTA CENTRAL R&D LABS., INC.
December 31, 2017 - September 7, 2025Car plate detection and recognition. Raspberry Pi-enabled Donkey Car project. Capsule Network on BRATS and related ML tasks. Automatic category identification and filter mapping for products.
Junior ML Engineer at TOYOTA CENTRAL R&D LABS., INC.
December 31, 2017 - September 7, 2025Car plate detection and recognition; Raspberry Pi-enabled Donkey Car project; Wine Recommendation Engine; Building Capsule Network on Brats; Qui-Gon problem solving with Linear Programming; automatic category identification and filter mapping for products.
Junior ML Engineer at TOYOTA CENTRAL R&D LABS., INC.
December 31, 2017 - September 5, 2025Worked onsite in Japan on car plate detection and recognition projects. Created a Raspberry Pi-enabled Donkey Car and developed a wine recommendation engine using Light FM, Django, and Docker. Built capsule networks for medical imaging (Brats) and solved optimization problems using linear programming. Automated category identification and filter mapping for product classification.
Junior ML Engineer at TOYOTA Central R&D Labs., INC.
December 1, 2017 - September 7, 2025Car plate detection and recognition; Raspberry Pi-powered Donkey Car; wine recommendation engine using LightFM/Django/Docker; capsule networks research; product categorization and filter mapping.
Junior ML Engineer at TOYOTA Central R&D Labs, Inc.
December 1, 2017 - September 7, 2025Car plate detection and recognition; Raspberry Pi-based Donkey Car; Wine Recommender Engine; Capsule Network on Brats; solving Qui-Gon with Linear Programming; automatic category identification and filter mapping for products.
Education
Master of Science at Osaka Institute of Technology
January 1, 2009 - December 31, 2012Master of Science at Osaka Institute of Technology
January 1, 2009 - January 1, 2012Master of Science, Computer Science at Osaka Institute of Technology
January 1, 2009 - January 1, 2012Master of Science, Computer Science at Osaka Institute of Technology
January 1, 2009 - December 31, 2012Master of Science in Computer Science at Osaka Institute of Technology
January 1, 2009 - January 1, 2012Qualifications
Industry Experience
Computers & Electronics, Healthcare, Software & Internet, Financial Services, Professional Services, Transportation & Logistics, Media & Entertainment, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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