Matias Aiskovich
Verified Expert in Engineering
Data Scientist and Developer
Matias是一名机器学习工程师，为社会影响项目提供了创造性的解决方案. 他过去的经历包括在IBM研究院担任机器学习工程师(与IBM的Yorktown Heights研究实验室合作), 共同创立了一家初创公司，为老年人开发以研究为基础的认知游戏(该公司为乌拉圭政府项目提供服务), 并参与了几个利用机器学习在医疗保健领域进行创新的项目.
Portfolio
Experience
Availability
Preferred Environment
Google Cloud, Python, Linux, Google Cloud Platform (GCP)
The most amazing...
...我建立了一个机器学习模型，可以从3D大脑核磁共振图像中进行年龄回归, using the model's delta to diagnose neurodegenerative diseases.
Work Experience
Machine Learning Engineer Consultant
Toptal Client
- Led the creation of an ML pipeline for the automatic processing of legal documents for the IFF-DuPont RD team; this project included using open-source (Google's T5) and proprietary (GPT-3) LLM.
- Worked as a principal machine learning engineer, auditing, improving, 开发流程并指导团队成员使用计算机视觉管道进行对象检测和语义分割，以检测汽车制造厂的小缺陷.
- 为一家医疗科技初创公司在FHIR应用程序上开发SMART，并将在Epic (EHR供应商)应用程序商店中发布.
- 将Medweb(一家远程医疗公司)平台与使用HL7和FHIR数据的不同电子病历集成.
- 为Strandbase(一家生物技术初创公司)创建了梯度增强机器学习模型，用于预测DNA序列的生产时间。.
- 为营销创业公司开发NLP(自然语言处理)机器学习情感分类模型和审计端到端机器学习管道.
- 建立计算机视觉和自然语言处理模型，从一款生活方式应用的文本中提取信息.
Machine Learning Research Engineer
IBM
- 在一个自然语言处理项目中进行机器学习实验，与IBM TSS团队合作，为IBM Research检测软件包中的安全威胁.
- 开发了年龄回归的计算机视觉模型(根据大脑的MRI图像预测年龄)，并管理了一个大型的大脑MRI图像数据集，这是我在探索性生命科学部门(一个神经科学团队)的研究任务的一部分。.
- 合著了两篇研究论文:“基于语义网格变形优化的稀疏深度补全”(增强现实的深度感知)和“基于声学传感的可穿戴设备交互手势检测”."
- 指导软件工程师学习机器学习主题，包括NLP和计算机视觉.
Co-founder
Caretronics
- Created an API using Flask to serve a mobile app that I also deployed on AWS.
- Developed an app chosen to take part in the Uruguayan governmental project, Ibirapita.
- 以研究为基础，为提高认知疾病患者的生活质量做了一个web平台, 发表了《欧博体育app下载》.”.
- 分析患者与应用程序互动的数据，并跟踪患者的进展情况.
Machine Learning Engineer
WeVat
- 使用TensorFlow开发机器学习计算机视觉模型，以确认图像中的零售商收据符合英国法律规范.
- Solved performance and scalability problems in company databases, improving their schemas and the general architecture.
- Designed and implemented the dashboard solution for the company, 包括执行每个仪表板的设计和实现，以及集成公司使用的以前未集成的数据源.
- 用XGBoost(梯度提升)建立机器学习模型，预测公司的客户数量.
- Detected anomalies and potential fraud in data, leading to changes in the platform.
- Created NLP models to detect receipt features and prevent fraud.
Senior Data Engineer
Morsum
- 设计并领导实施了一个基于SMART和FHIR的医院住院订餐项目，与电子病历相连接.
- Led implementation of ETL into Google Cloud Platform, using Pub/Sub, Google Dataflow (Java SDK), and Google BigQuery.
- 开发Python api，用于web和移动应用程序以及机器学习模型之间的接口.
- 创建了食品订购的机器学习购物篮分析推荐模型.
- Made scripts in Apache Spark to handle the big data for company products. 我使用Spark并行化了与nlp相关的任务，以匹配来自许多不同来源的食品成分.
Developer | System Administrator
Gumma SRL
- 创建内部软件，使报价与定制公司的要求，并将其插入SugarCRM.
- Developed an in-house payroll software for construction projects.
- Led the project involving server virtualization using VMware.
- Extended an active directory network to regional offices based in Brazil and Uruguay.
Help Desk Worker
Grupo Estisol
- 为内部用户提供技术支持，并为包括Zentyal Servers在内的各种技术解决方案提供基础设施支持, VMware ESXi, and Active Directory.
Experience
Interview About Recuerdos
http://www.youtube.com/watch?v=DhtjRrXo_ScArticle About Caretronics
http://www.telam.com.ar/notas/201704/185410-software-app-argentina-adultos-mayores-uruguay.htmlHarvard CS109A | Final Project
http://harvardfinalproject.wordpress.com/App for Training the Memory of Those in the Uruguayan Elderly Population
http://play.google.com/store/apps/details?id=com.caretronics.recuerdosParrot Detector
http://github.com/maiskovich/parrot_2000Education
Master's Degree in Life Science Informatics - Bioinformatics and Systems Medicine
University of Helsinki - Helsinki, Finland
Master of Science Degree in Data Science
Universidad Austral - Buenos Aires, Argentina
Certificate in Data Science
Harvard Extension School - Boston, MA, USA
Commercial Pilot License in Aviation
ETAP - Buenos Aires, Argentina
Certifications
Data Engineering for Google Cloud Platform
ROI Training
Skills
Libraries/APIs
PyTorch, Keras, XGBoost, Scikit-learn, TensorFlow, Pandas, NumPy, SpaCy, OpenCV, Mirth Connect, Natural Language Toolkit (NLTK)
Tools
BigQuery, Apache Beam, Cloud Dataflow, SugarCRM, VMware, Biopython, Amazon SageMaker
Frameworks
Flask, Apache Spark, Spark, Ionic
Languages
SQL, Python, Java, JavaScript, PHP, R
Paradigms
Data Science, ETL, Fast Healthcare Interoperability Resources (FHIR)
Platforms
Linux, Docker, Amazon EC2, Google Cloud Platform (GCP), Windows Server, Amazon Web Services (AWS), Kubernetes, Epic Electronic Health Records (EHR)
Storage
MySQL, Databases, Relational Databases, PostgreSQL, Google Cloud, Amazon S3 (AWS S3)
Industry Expertise
Healthcare, Bioinformatics
Other
Computer Vision, Artificial Intelligence (AI), Convolutional Neural Networks (CNN), Deep Learning, Data Analytics, Data Analysis, BERT, Google BigQuery, Machine Learning, Image Recognition, Natural Language Processing (NLP), Data Engineering, Data Warehousing, Detectron2, Word2Vec, Data Mining, Data Modeling, Neural Networks, Deep Neural Networks, Image Processing, Artificial Neural Networks (ANN), GPT, Generative Pre-trained Transformers (GPT), DICOM, HL7, OpenEMR, Association Rule Learning, Statistics, Medical Imaging, OCR, 3D Reconstruction, Depth Prediction, Object Tracking, Pub/Sub, Object Detection, Machine Learning Operations (MLOps), Semantic Segmentation, Data Reporting, 3D Image Processing, Transformers, Hugging Face, OpenAI, Large Language Models (LLMs), Transformer-XL, VMware ESXi, Picture Archiving & Communication Systems (PACS), Biology, Genomics, Facial Recognition, Data Versioning, NiftyNet, Point Clouds, LiDAR, Stable Diffusion, Interviews, Startups, LangChain, Spatial Transcriptomics, scRNA-seq, RNA Sequencing, Bioconductor
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