Sridip Banerjee

Lead Bigdata Machine Learning Engineer @RBC

Toronto, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2019 — Present

Lead Bigdata Machine Learning Engineer @RBC

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Toronto, ON, CA

Python, Scala, Java, Apache Spark, PySpark, GenAI, RNN, Transformers, Large Language Models, Prompt Engineering, Retrieval Augmented Generation(RAG), Vector Databases, OpenSearch, JINA, BERT Embedding, Amazon Bedrock, GenBI, Amazon Q, AWS QuickSight, Claude3.5 Sonnet, GPT4O, LLM, Natural Language Processing(NLP), Jupyter Notebook, DataBricks, DataLakeHouse, DeltaLake, Unity Catalog, Terraform, Glue Catalog, Glue Jobs, CloudFormation, Apache Airflow, Jenkins, RedShift, Splunk, Datadog, Sumologic, Spark Streaming, Apache Flink, Postgres, AWS Lambda, Elastic Map Reduce(EMR cluster) management, EMR configuration, Amazon State Machine, Amazon State Language(ASL), AWS Kinesis, S3, API Gateway, SQL, OLAP, RedShift query tuning, AWS SageMaker, SageMaker Processing, Sagemaker notebooks, SageMaker Canvas, Kendra, Jumpstart, Sci-kit learn, Decision Trees, numpy, matplotlib, Support Vector Machine, Metabase, virtualenv, scipy, pip, conda, flask, python pickle, machine learning model hosting, SageMaker training, SageMaker validation and inference, JupyterLab, GCP, Firebase, GCP IAM, GCP Service Accounts Management, GCP Data Studio, GCP Big Query, GCP Big Query Jobs, Google Cloud Storage, GCP Dataflow, GCP Dataproc, GCP ML API, GCP spreadsheet API, AWS Secrets Manager, AWS Systems Manager, Kubernetes, AWS parameter store, Tableau, FireFlow, REST API, Hortonworks Data Platform, Hadoop, yfinance, matplotlib, Spark Streaming, Parquet, Avro, Docker, Amazon Elastic Container Service(ECS), AWS Fargate, AWS Neptune, Graph databases, AWS Athena, Trino, Presto, Regression, PACF, Time Series analysis, ACF, AutoCorrelation of time series, Python Flask, Apigee, Pingfederate, AWS Certificate Manager, Postman, REST API, Deequ, Maven, Nexus, Continuous Integration, Continuous Delivery, scikit-learn, xgboost, tensorflow decision forest, Self-serve glue, Grafana, AutoML, HuggingFace, Facebook Llama, Foundational multimodal large Language Models, AutoGlueON, AWS Data Wrangler, Amazon Connect

EDUCATION

2009 — 2010

University of Windsor

M.Sc.(Thesis), Computer Science, Research: Machine Learning

SKILLS

Mobile ApplicationsGroovyWebsphere Application ServerJavascriptMachine LearningPythonJboss Application ServerUnix Shell ScriptingOracle SqlPl/SqlRestful WebservicesLinux KernelDistributed AlgorithmsSoapHibernatePhpNatural Language ProcessingJ2ee Application DevelopmentJava Web ServicesAndroid SdkNode.jsMysqlContinuous IntegrationC++Service Oriented Architecture DesignMultithreaded Application DevelopmentMicrosoft Sql ServerSoftware Design PatternsObject Oriented PerlScalaObject Oriented DesignCloud ComputingAjaxHadoopArtificial IntelligenceApache SparkSpringJax-WsJavaTomcat

ABOUT SRIDIP BANERJEE

An innovative and hardworking young professional focused on growing in the field of Software Development, having 17 years of Software Development experience at a startup(RBC Ventures), at large tech Company(Blackberry), at Software company(Sandvine, Toronto Stock Exchange, Equifax), at a Research Institute(Saha Institute of Nuclear Physics) and at Global Investment Banks(RBC Capital Markets, Scotia, TD) and 3 years of research experience in Computer Science(Pattern Recognition, Machine Learning, Data Mining) with 5 Research Publications(Machine Learning, Pattern Recognition). An excellent problem solver.Certified Agile practitioner. Had accomplished in different roles as Java Developer, Python Developer, Scala Developer, Machine Learning Engineer, Data Engineer, AWS Cloud Engineer, AI LLM developer, DevOps Engineer, MLOps Engineer, Mobile(Android/iOS) developer, Data Scientist.Specialties: AWS Cloud, GCP Cloud, Machine Learning, Pattern recognition, Natural language Processing, Artificial Intelligence, Android SDK, High Frequency Trading, Java/J2EE development, Spark, Hadoop, Angular.jsLanguages: Java, Scala, Perl, Python, PHP, Groovy, PL/SQL, JavaScript, Shell(BASH, KSH)Framework: Java Enterprise Edition(J2EE), Spring, Struts, Groovy on Grails, Adobe FlexDatabases:Oracle 11g, SQL Server 2008, MySQL, PostgreSQL, PL/SQL, T-SQL, NoSQL, MongoDB, Elastic SearchApplication Servers: WebSphere 6.1, JBoss 5.1, Apache Tomcat, GlassfishWeb Services: Java Web Services (JAX-WS,JAXB,WSDL,SOAP)Web Technologies & Tools: J2EE (Servlet, JSP, JDBC, RMI, EJB), Java Applet, GSP, ASP, XML, XSD, DTD, XSLT, xpath, JAXP, JavaScript, jQuery, AJAX, HTML 5, XHTML, DOM, IIS, CSS3, Google Web toolkit,Java Applet,Google Web toolkit,Selenium, JMS, Solace Message-oriented middleware Technologies: Gradle, ANT, Maven, Apache Ivy, Autosys(JIL), FIX protocol, Spring annotation,SOA, NLP, Hadoop, Hive, Apache Mahout, Android SDK, Tidal, JUnit, JNI, log4j, Selenium, Hibernate, JPA, MATLAB, subversion, SOAPUI, Intellij, Eclipse, Spring Tool Suite, subversion, Git, MicroStrategy Business Intelligence, Google Analytics, Coverity, BlackBerry SDK, Junit 4,Design Patterns,Hibernate,Multi-threaded,Apache CamelOperating Systems: Android, QNX, UNIX, Sun Solaris, Linux, FreeBSD, Windows Server

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Sridip Banerjee — Lead Bigdata Machine Learning Engineer at RBC in Toronto, CA | Unifers