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Click here or scroll down to respond to this candidateCandidate's Name
A Software developer with over 25 years of software development experienceand 2 years of Deep Learning/Machine Learning experience.Deep Learning , Machine Learning Data Engineering: 1. Developed and deployed deep learning and machine learning features optimized for algorithmic trading strategies across diverse market conditions. 2. Collaborated with stakeholders to define requirements, architect data pipelines, and seamlessly integrate machine learning models into trading algorithms. 3. Automated data engineering tasks essential for algorithmic trading, such as data cleaning, market data ingestion, and exporting processed data for model training and execution using Python. 4. Utilized APIs to extract real-time market data, ensuring timely and accurate information for machine learning-driven decision-making in trading algorithms. 5. Designed and optimized SQL and MongoDB NoSQL JSON schemas to efficiently store and manage trading data, enabling rapid access for model training and execution. 6. Utilized Pandas DataFrame for cleaning and transforming raw market data, ensuring high-quality data inputs for machine learning models. 7. Implemented mechanisms for seamless importing and exporting of trading data from diverse sources, facilitating integration with machine learning-based trading systems. 8. Demonstrated expertise in integrating new data sources to enhance feature engineering for machine learning models tailored to algorithmic trading. 9. Leveraged Python for automation across various aspects of deep learning and machine learning data engineering in trading, improving operational efficiency. 10. Extensive experience in API interfacing within data engineering and analytics for machine learning-driven trading systems. 11. Proficient in designing MongoDB NoSQL JSON schemas to efficiently organize and manage trading data in non-relational databases. 12. Expertise in data cleansing techniques customized for algorithmic trading data to ensure data accuracy and integrity. 13. Comprehensive knowledge of data importing and exporting methodologies essential for integrating external data sources into machine learning-powered trading systems. 14. Utilized Jupyter Notebooks extensively for prototyping, experimenting, and iterating on machine learning and deep learning models tailored for financial analysis. Jupyter Notebooks provided an interactive environment for rapid development and analysis of models. 15. Implemented machine learning algorithms and techniques using the Scikit-Learn library, leveraging its robust set of tools for classification, regression, and clustering tasks. These models were applied to various aspects of financial analysis, including pattern recognition, risk assessment, and market prediction. 16. Developed and trained deep learning models using PyTorch and TensorFlow frameworks to capture complex patterns and relationships within financial data. These models enabled advanced financial analysis techniques capable of adapting to dynamic market conditions and uncovering opportunities. 17.Candidate's Name
18. Integrated OpenAI API for natural language processing tasks, such as sentiment analysis of financial news and social media data. This provided valuable insights into market sentiment, enriching the analysis and aiding decision-making processes. 19. Implemented interactive dashboards and visualization tools using Plotly Dash and Streamlit to analyze and interpret machine learning model outputs and financial performance. These tools empowered traders and stakeholders to gain actionable insights and make informed decisions based on the predictions and analyses generated by the models. 20. Extensive knowledge of local LLM deployment and development including Ollama with ChromaDB Vector Database and MongoDB. 21. Built python application with Ollama python endpoints for LLMs: Llama3 , Mistral, GemmaWORK EXPERIENCE:Matrionix Corp 9/2023 - PresentAlgorithmic/AI Quantitative DeveloperAs a quant developer I Design, develop, and implement algorithmic tradingstrategies utilizing quantitative analysis techniques and machine learningalgorithms.Built a predictive platform capable of forecasting future chart movementsacross various asset classes.Designed and developed algorithmic trading strategies using quantitativeanalysis techniquesand machine learning algorithms.Built a predictive platform utilizing MT5, Python, Plotly Dash, andStreamlit to forecast futurechart movements for all asset classes, enhancing trading decision-makingand performance.Employed a diverse range of quantitative techniques, including time seriesanalysis, and patternrecognition, to develop predictions for financial markets.Created custom python application to Integrated real-time market data feedsinto the predictiveplatform to enable algorithmic predictions.Conducted extensive backtesting and optimization of trading predictions toensure robustness and accuracy across different market conditions.DMI / Food And Drug Administration (FDA) 6/2023- 9/2023Center For Veterinary Medicine (CVM)Solution ArchitectI work closely with a cross-functional team to help the FDA CVM architect amajor infrastructure upgrade to their legacy environment throughcollaborative planning sessions.My team and I developed a robust upgrade strategy and execution plan tomeet the FDA's goals of a scalable, resilient, and innovative technicalinfrastructure that supports their continued growth and streamlines theirmachine learning workflows.Candidate's Name
Highmark Health 10/2022-1/2023Data EngineerAs the subject matter expert (SME) in MongoDB, designing and implementingMongoDB-based solutions, and ensuring the quality and integrity of data.Configuring MongoDB in compliance with the DoD Security TechnicalImplementation Guide (STIG) guidelines, setting up authentication andaccess control mechanisms.Ensuring compliance with Department of Defense (DoD) security requirements.Collaborating with cross-functional teams to identify and implementimprovements in data processing efficiency and security.United HealthCare / Optum 9/2021 -6/2022Data EngineerAs a Data Engineer, I designed and maintained database systems, utilizingmy expertise in MongoDB and Azure. My responsibilities included:Deploying MongoDB Atlas clusters on Azure cloud platform, optimizingdatabase performance, and ensuring high availability and scalability.Configuring MongoDB with Azure Private Endpoint, providing secure andprivate access to databases, and ensuring compliance with securitystandards.Advising the team on best practices for database management, includingdatabase schema design, indexing, and query optimization, as well asoptimizing performance and scalability.Leveraging MongoDB Aggregation Framework for complex data analysis,generating insights and metrics, and optimizing data processing efficiency.Halliburton 10/2020 -8/2021Data EngineerAs a Data Engineer, I designed and maintained database systems, utilizingmy expertise inMongoDB and Azure. My responsibilities included:Deploying MongoDB Atlas clusters on Azure cloud platform, optimizingdatabase performance, and ensuring high availability and scalability.Configuring MongoDB with Azure Private Endpoint, providing secure andprivate access to databases, and ensuring compliance with securitystandards.Advising the team on best practices for database management, includingdatabase schema design, indexing, and query optimization, as well asoptimizing performance and scalability.Leveraging MongoDB Aggregation Framework for complex data analysis,generating insights and metrics, and optimizing data processing efficiency.Candidate's Name
IBM / AMICA Insurance 2/2017 - 8/2020Python Developer / Data EngineerAs a MongoDB Data Engineer, I designed and maintained database systems,utilizing my expertise in MongoDB, data governance, and data extraction. Myresponsibilities included:Meeting with business and stakeholders, advising on best practices fordatabase management, optimization, and security.Developing multiple MongoDB scripts to extract JSON documents and ensuredata governance, improving data accuracy and efficiency.Leveraging MongoDB Aggregation Framework to analyze complex data sets,generate insights, and optimize data processing efficiency.Extracting data from MongoDB to generate custom JSON output for multipleprojects, providing insights and analytics for business intelligence andreporting.Collaborating with PowerBI and Salesforce teams to integrate MongoDB datainto business processes, providing data insights and analytics for salesand marketing.Advising teams on best practices for database management, includingdatabase schema design, indexing, and query optimization, as well asoptimizing performance and scalability.Building a Python application to synchronize MongoDB collections, improvingdata consistency and efficiency.MongoDB with IBM DataStageInternetPCS Corp. 2/2002 - 12/2017Developer / Data EngineerBuilt Automated trading systems for clients based on user specificationsand requirementsProgramming languages used for algorithmic trading systems: Python, C#Developed applications on: MetaTrader 4, MetaTrader 5, NinjaTrader, andTradeStation.Financial markets include stocks, futures and forex market.Developed trend following, pattern recognition, mean reversion, andvolatility arbitrage systems.Responsibilities included MongoDB Data EngineeringDesign and maintained database systems, utilizing my expertise in databasemodeling and migration.Coordinating with stakeholders, understanding their needs, and advising onbest practices for database management and optimization.Designing and modeling MongoDB databases, ensuring data accuracy,consistency, and security.Migrating all databases from MS-SQL Server and DB2 to MongoDB, improvingdatabase performance,Implementing Redis Server to build caching servers, improving databaseperformance and reducing response time for queries.Building custom scripts for MongoDB ingestion of millions of records frommultiple sources, including Excel and SQL Server, improving data accuracyand efficiency.Implementing SQL and NoSQL backup, import, and export scripts, ensuringdata availability and recoverability in case of system failures.Candidate's Name
Merrill Lynch 10/2000 - 12/2002Software ConsultantInternational Private Client GroupAs a Senior Software Consultant for the International Private ClientDivision of Merrill Lynch, I worked on developing and maintaining bankingsoftware using a range of cutting-edge technologies. My responsibilitiesincluded:Collaborating with cross-functional teams, including software developers,business analysts, and project managers, to understand businessrequirements and develop customized solutions.Utilizing a range of technologies, including PDF, FDF, MQ-Series, Siebel,Entire-X, Visual Basic, Active Server Pages, IIS, Java, XML Financials, MSAccess, MS Visual Studio Enterprise, and SOAP, to design and developsoftware applications that met business needs.Leveraging my expertise in software development and programming to deliverhigh-quality solutions that were robust, reliable, and scalable.Ensuring software applications met stringent security and compliancerequirements, implementing security protocols and ensuring data privacy andprotection.Providing technical guidance and support to junior team members, helping todevelop their skills and improve their performance.Working on multiple projects concurrently, managing project timelines, anddelivering solutions on time and within budget.Overall, I am a highly skilled and experienced software consultant, withexpertise in a range of cutting-edge technologies. I have extensiveexperience in collaborating with cross-functional teams, delivering high-quality solutions that meet stringent security and compliance requirements,and providing technical guidance and support to junior team members.CareerEngine.com Inc. 2/1999 - 10/2000Systems AnalystDeveloping backend application servers, including designing and buildingscalable and reliable systems that met business needs.Managing IT personnel, including hiring and training team members, settingperformance goals, and conducting performance evaluations.Making decisions on hardware and software purchases, working with vendorsto identify the best solutions for the organization's needs, andnegotiating contracts to ensure cost-effectiveness.Coordinating and troubleshooting data center issues, working with technicalteams to resolve system failures, and ensuring that data center operationswere in compliance with industry standards and regulations.Collaborating with cross-functional teams, including software developers,business analysts, and project managers, to understand businessrequirements and develop customized solutions.Ensuring that the organization's IT infrastructure was secure and reliable,implementing security protocols and ensuring data privacy and protection.Managing multiple projects concurrently, managing project timelines, anddelivering solutions on time and within budget.Candidate's Name
EDUCATION:Brooklyn College, New YorkComputer ScienceLanguages: English , French , PortugueseCertificates:DeepLearning.AI TensorFlow for Artificial Intelligence and Deep Learning.MongoDB DBA (M102)MongoDB Performance (M201)MongoDB for Developers (M101P)IBM Python for Data Science CertificateViewable: https://LINKEDIN LINK AVAILABLE |
