Matias Aiskovich
Verified Expert in Engineering
数据科学家和开发人员
Matias is a machine learning engineer who's delivered creative solutions for social impact projects. His past experience includes working at IBM Research as a machine learning engineer (collaborating with IBM's Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for a Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.
Portfolio
Experience
Availability
首选的环境
Google Cloud, Python, Linux, 谷歌云平台(GCP)
The most amazing...
...thing I've built is a machine learning model for age regression from 3D brain MRI images, 利用模型的delta来诊断神经退行性疾病.
Work Experience
机器学习工程师顾问
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.
- 担任过主要的机器学习工程师, auditing, improving, and developing processes and coaching team members on a computer vision pipeline for object detection and semantic segmentation to detect small defects in car manufacturing plants.
- Developed SMART on an FHIR app for a healthtech startup to be published in the Epic (EHR vendor) app store.
- Integrated the Medweb (a telemedicine company) platform with different EHRs using HL7 and FHIR data.
- Created gradient boosting machine learning models for predicting DNA sequences' manufacture timeline for Strandbase (a biotech startup).
- Developed NLP (natural language processing) machine learning sentiment classification models and audit end-to-end machine learning pipeline for marketing startups.
- Built computer vision and NLP models for extracting information from text for a lifestyle app.
机器学习研究工程师
IBM
- Conducted machine learning experimentation in a natural language processing project to detect security threats in software packages for IBM Research in collaboration with the IBM TSS team.
- Developed computer vision models for age regression (predicting age given an MRI image of the brain) and curated a large dataset of brain MRI images as part of my work in the research task for the Exploratory Life Science Sector (a neuroscience team).
- Co-authored two research papers: "Sparse Depth Completion with Semantic Mesh Deformation Optimization" (depth perception for augmented reality) and "Acoustic Sensing-based Hand Gesture Detection for Wearable Device Interaction."
- Coached software engineers on machine learning topics, including NLP and computer vision.
Co-founder
Caretronics
- 使用Flask创建了一个API，为我也部署在AWS上的移动应用程序提供服务.
- Developed an app chosen to take part in the Uruguayan governmental project, Ibirapita.
- Made a web platform based on research for improving the quality of life of people with cognitive diseases, which resulted in the publication “Cognitive Stimulation of Autobiographic and Emotional Memory in a Patient with Alzheimer’s Disease.”.
- Analyzed the data from patient interactions with the app and tracked patients' progress through time.
机器学习工程师
WeVat
- Developed machine learning computer vision models with TensorFlow to confirm that retailers' receipts in images were compliant with UK legal norms.
- 解决公司数据库的性能和可伸缩性问题, 改进他们的模式和总体架构.
- 为公司设计并实现仪表板解决方案, including carrying out the design and implementation of each dashboard and integrating the data sources that the company uses that formerly were not integrated.
- Built machine learning models with XGBoost (gradient boosting) to predict the company’s volume of customers.
- 发现数据异常和潜在欺诈，导致平台发生变化.
- 创建NLP模型以检测收据特征并防止欺诈.
高级数据工程师
Morsum
- Designed and led the implementation of an inpatient food ordering project for hospitals based on SMART and FHIR to connect with EHRs.
- 领导ETL在Google云平台的实施, using Pub/Sub, Google Dataflow (Java SDK), and Google BigQuery.
- Developed Python APIs to interface between the web and mobile apps and machine learning models.
- Created machine learning market basket analysis recommendation models for food ordering.
- 用Apache Spark编写脚本，处理欧博体育app下载的大数据. I parallelized NLP-related tasks of matching food ingredients from many different sources using Spark.
开发人员|系统管理员
Gumma SRL
- Created in-house software for making quotations with custom company requirements and also inserted it in the SugarCRM.
- 为建筑项目开发内部工资软件.
- 领导使用VMware的服务器虚拟化项目.
- 将一个活动目录网络扩展到设在巴西和乌拉圭的区域办事处.
Help Desk Worker
Grupo Estisol
- Provided technical support to internal users and infrastructure support on a wide array of technology solutions including Zentyal Servers, VMware ESXi, 和Active Directory.
Experience
文章关于Caretronics
http://www.telam.com.ar/notas/201704/185410-software-app-argentina-adultos-mayores-uruguay.html哈佛CS109A |期末项目
http://harvardfinalproject.wordpress.com/训练乌拉圭老年人记忆的应用程序
http://play.google.com/store/apps/details?id=com.caretronics.recuerdosParrot Detector
http://github.com/maiskovich/parrot_2000Education
生命科学信息学硕士学位-生物信息学和系统医学
赫尔辛基大学-赫尔辛基，芬兰
数据科学硕士学位
南方大学-布宜诺斯艾利斯，阿根廷
数据科学证书
哈佛扩展学院-波士顿，马萨诸塞州，美国
商业航空飞行员执照
ETAP -布宜诺斯艾利斯，阿根廷
Certifications
谷歌云平台数据工程
ROI Training
Skills
Libraries/APIs
PyTorch, Keras, XGBoost, Scikit-learn, TensorFlow, Pandas, NumPy, SpaCy, OpenCV, Mirth Connect, 自然语言工具包(NLTK)
Tools
BigQuery, Apache Beam, Cloud Dataflow, SugarCRM, VMware, bioppython, Amazon SageMaker
Frameworks
Flask, Apache Spark, Spark, Ionic
Languages
SQL, Python, Java, JavaScript, PHP, R
Paradigms
数据科学、ETL、快速医疗保健互操作性资源(FHIR)
Platforms
Linux, Docker, Amazon EC2, 谷歌云平台(GCP), Windows Server, 亚马逊网络服务(AWS), Kubernetes, Epic电子健康记录(EHR)
Storage
MySQL，数据库，关系数据库，PostgreSQL, Google Cloud, Amazon S3 (AWS S3)
Industry Expertise
医疗、生物信息学
Other
Computer Vision, 人工智能(AI), 卷积神经网络(CNN), Deep Learning, Data Analytics, Data Analysis, BERT, Google BigQuery, Machine Learning, Image Recognition, 自然语言处理(NLP), Data Engineering, Data Warehousing, Detectron2, Word2Vec, Data Mining, Data Modeling, Neural Networks, 深度神经网络, Image Processing, 人工神经网络(ANN), GPT, 生成预训练变压器(GPT), DICOM, HL7, OpenEMR, 关联规则学习, Statistics, Medical Imaging, OCR, 3D Reconstruction, Depth Prediction, Object Tracking, Pub/Sub, Object Detection, 机器学习操作(MLOps), 语义分割, Data Reporting, 三维图像处理, Transformers, Hugging Face, OpenAI, 大型语言模型(llm), Transformer-XL, VMware ESXi, Picture Archiving & 通信系统, Biology, Genomics, Facial Recognition, Data Versioning, NiftyNet, Point Clouds, LiDAR, Stable Diffusion, Interviews, Startups, LangChain, 空间转录组, scRNA-seq, RNA Sequencing, Bioconductor
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