Information
Tech Stack
About me
As a Machine Learning Engineer, I specialize in developing efficient solutions, from initial prototyping to production deployment. My approach focuses on creating products driven by clear objectives, skillfully balancing immediate successes with strategic, long-term goals. I am committed to continuous learning, constantly seeking to expand my knowledge. My passion for Artificial General Intelligence (AGI) research and exploring deep philosophical queries is well-known among my close associates.
Experience
Dealing with multiple financial data sources I built data solutions on top of Kubernetes, Spark and AWS cloud to enable data scientists. I also helped building applications that makes operating and maintaining data store solutions easier for business teams.
I helped building ML platform for data scientists to bring their models to production Kafka, Azure Cloud Managed Services, Databricks, Airflow and Kubernetes.
Worked on Big data solutions for Dutch crypto Spot exchange in order to give them insights regarding their customers. Laying the foundation of their data pipelines. Handling Capture Data Change (CDC) data ingesion and publishing it to Kafka.
Worked on Big data solutions for Dutch crypto Spot exchange in order to give them insights regarding their customers. Laying the foundation of their data pipelines. Handling Capture Data Change (CDC) data ingesion and publishing it to Kafka.
Working in various domains to carry out projects using Gaussian Mixture Models and Bayesian Optimziation
- • Recipe optimization for Trident gum with a project carried out for Mondelez
- • Involved around all aspects of the life-cycle of the ML projects from modeling to engineering challanges
- • Making business impact by leveraging AI tech
- • Azure Tools, MLOps, Python, Kubernete
Working on Ground Staff Tasks Optimization Tools.
- • Leading software product together with engineering team and Operation Research Consultants
- • Mixed Integer Programming
- • Using Kafka, HDFS, Spark over Python and Scala to build applications for planners to allocate tasks for the workers on the airport.
- • Working closely with BCG Consultants on implementing innovative optimizers for Airline Operations.
Working on Intent Recognition for customers questions and conversation analysis.
- • Using NLP to comprehend and answer questions in an efficient way to help our customers.
- • From prototyping in Python and benchmarking to bringing to production and serving a webservice on Kubernetes
- • Java, Spring Boot, Kotlin, GKE, BigQuery, ElasticSearch
Solving NILM and disaggregation problems using ML. Python; CNNs.