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I have around 8-10 years of professional experience, a Master of Science from Tufts University and an academic background in mathematics as well as economics. My tech stack predominately includes: Python, PyTorch, ML, NLP, Spark,Docker, Terraform and Kubernetes. A huge emphasis of my career has involved striving for computational efficiency as far as the productionization of large scale distributed systems within the ML platform
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Senior Staff Machine Learning EngineerGenedx Aug 2023 - PresentStamford, Ct, Us -
Staff Ml Engineer | Tech LeadDrift Jul 2021 - Aug 2023Boston, Massachusetts, Us* Presidents Club Leadership Award 2022* Managed an AI pod with 4 direct reports. This involves growth plans, 1:1s, promotions for my direct reports, hiring, driving ML strategy, working with legal on patents, working cross functionally with fullstack pods and e2e system design* Democratized AI at Drift to influence more than our human-in-the loop chatbots. Helped identify and obtain cross functional buy-in for product features that could use ML and worked cross functionally with full stack application pods to deliver these initiatives (i.e using AI for lead prioritization) * Regularly designed and led the construction of large scale infrastructure (i.e, real-time feature stores, scoring,etc.). These tier 1 launches led to a 200% increase in customer engagement within our product -
Senior Machine Learning EngineerDrift Apr 2020 - Jul 2021Boston, Massachusetts, UsBuilt EKS services, infrastructure for data pipelines(s3, RDS,dynamo,etc.) via terraform, enrichment via elasticsearch, NER e2e pipeline, training and deployment for Generative AI (this involved implementing a computationally efficient LED model and setting up/running distributed GPU training) as well as semantic search using sentence embeddings and ANN* Tech Stack: python, HuggingFace, PyTorch and sklearn*Orchestration: Kubeflow and Argo*CI/CD: Circleci and ArgoCD*Observability: Prometheus, Grafana, Logstash/Kibana*Offline Training: Kubeflow, Argo Workflows*Offline Data Enrichment: Argo Workflows, AWS Glue, EMR, RDS, Aurora, s3*Online Data Enrichment: SNS, SQS, Elasticsearch, Dynamo*Model Serving: Kserve -
Senior Machine Learning EngineerCvs Health May 2019 - Apr 2020Woonsocket, Ri, UsCurrently working on building data pipelines, Machine Learning and Deep Learning models at scale for nearly 90 million active customers and 2 years (or roughly 12 TB) worth of transactional data by customer I predominately use spark(pyspark) and python for data preprocessing as well as Keras(TensorFlow backend) and MLlib for modeling In addition to modeling, another key aspect of my role involves collaborating with DevOps and engineering as far as productionization of our models -
Machine Learning Engineer (Contract)Loomis, Sayles & Company Oct 2018 - May 2019Boston, Ma, UsContract/Temp roleArtificial Intelligence TeamBuilt an AI algorithm that was able to detect numerical and text based data inconsistencies among 2000+ daily published pdf reports -
Data ScientistSpatially Jan 2018 - Aug 2018Miami, Florida, Us• Python, linux and AWS based environment. Normal day-to-day involved working with large GPS mobile data, scraping data and building machine learning analytics as well as data visualization tools via Python• built an interactive tool that allowed clients to look at high versus low potential business areas, specifically areas in which they should place their new store. This project included: scrapping google lat lon points, clustering them into business areas, feature engineering the business area shapes and computing a site potential ranking/score• Provided machine learning analytic tools such as: locations in which our clients could seek new potential customers, where a client should place their next store, how quantitatively measure what political interest people care about by city in the US,etc. -
Data Analyst, Predictive AnalyticsPlymouth Rock Assurance Feb 2017 - Jan 2018Boston, Ma, Us•Single-handedly built a production ready machine learning algorithm (via Python) that was able to predict around 72% of all uninsured claims. This algorithm saved us around $175,00 per year• Led all machine learning initiatives and presented any insightful findings to the VP and other claim directors absent quantitative jargon• Matained/debugged our T-SQL stored procedures and SSIS packages. Led a large scale data migration project to include an entirely new book of business• Constructed Tableau dashboards/interactive data visualization tools for stakeholders -
Teaching AssistantTufts University Aug 2015 - Jan 2016Medford, Massachusetts, Us• Taught two sections each consisting of approximately 30 students• Led and prepared discussions on introductory microeconomic and macroeconomictopics -
AnalystBureau Of Economic And Business Research Dec 2013 - Aug 2015• Pioneered the population studies project, which involved visually representing our timeseries tabular data into animated spatial maps via ArcGIS• Wrote Python scripts to automate processes via ArcGIS. As a result our map generatingprocess was around 40% faster• Trained and managed new employees. Helped grow a team of 8 new employees• Wrote VBA macros in order to update/format 7,000+ datasets instantaneously andmanage our database more efficiently. This reduced our reporting time by nearly 83%
Maria Moya Skills
Maria Moya Education Details
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Tufts UniversityEconometrics And Quantitative Economics -
University Of FloridaEconomics And Mathematics
Frequently Asked Questions about Maria Moya
What company does Maria Moya work for?
Maria Moya works for Genedx
What is Maria Moya's role at the current company?
Maria Moya's current role is Machine Learning at GeneDx.
What is Maria Moya's email address?
Maria Moya's email address is mm****@****ift.com
What is Maria Moya's direct phone number?
Maria Moya's direct phone number is +161795*****
What schools did Maria Moya attend?
Maria Moya attended Tufts University, University Of Florida.
What skills is Maria Moya known for?
Maria Moya has skills like Mathematics, Artificial Neural Networks, Leadership, Neural Networks, Scikit Learn, R, Git, Amazon Web Services, Llm, Linux, Algorithms, Objectives And Key Results.
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