About Me
Modern applied mathematics and functional programming expert. Excellent at grasping and formalising patterns in dynamic environments and handling data complexity. Looking for challenging and innovative projects in AI to generate and implement new ...
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Web Development
Data & Analytics
Software Testing
Programming Language
Software Engineering
Database
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Mobile Apps
Positions
Portfolio Projects
Company
Data Science and Big Data Consulting
Role
Data Scientist
Description
Data science:
* research: advanced applied mathematics and statistics, hypothesis evaluation, digital signal processing, time series analysis, operations research, system analysis.
* modelling: classical ML (supervised and unsupervised), dimensionality reduction, optimisation, linear, non-linear and stochastic programming, control and decision systems engineering.
* other: deep learning, text mining, NLP, numerical analysis, data visualisation.
Stack: Scala, Java, Matlab, Python (numpy, scipy, pytorch, keras, tensorflow), Spark, Hadoop, Kafka, RDBMS, DWH, Elasticsearch.
Data architecture: big data and data science pre-sales and consulting, ML solution and pipelines design, API and DWH / data lake, data marts design (integration, data layout, cleansing, ingestion, governance).
Data engineering: ETLs, streaming and batch processing fault tolerant big data applications design (RDBMS, HDFS, Kafka, Spark, Spark Streaming, Akka, Akka Streams, BigQuery, Teradata), prototyping, implementation and deployment.
DevOps: cloud and hybrid connectivity for big data solutions on Azure, GCP, AWS, distributed applications deployment, provisioning best practices, logging and monitoring, CI/CD, Linux networking, Kubernetes.
Company
Awareful
Role
Data Scientist
Company
Devlight
Role
Software Architect
Description
System architecture: pre-sales and consulting, data architecture, API, DSL and protocols design, end-to-end applications architecture (mobile, frontend, backend, infrastructure, analytics, ML), DB layout design and scaling, fault-tolerant, HA system design.
Data engineering: streaming and batch big data pipelines (PubSub, Dataflow, Dataproc and BigQuery integration), DWH and data marts design, hybrid connectivity big data solutions design.
Server-side solutions: microservices and service-oriented architecture, NodeJS/TS and Java teams technical management.
Math: discrete optimization for TSP and knapsack problems with dynamic constraints, MIP techniques.
Cloud solutions: hybrid connectivity and cloud migration assistance, Google Cloud Platform and AWS infrastructure scaling and automation, GKE and bare-metal Kubernetes management, monitoring and logging (EFK, ELK, Stackdriver), CI/CD design (Gitlab, Jenkins, Cloud Builder), Cloud ML.
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