Creating and developing innovative software solutions from clients across a broad range of industries.

Participate in scrums consisting of cross-functional teams, both software and hardware.

Ensure that features are being delivered efficiently and on-time.

Designed and built end-to-end machine learning model pipelines, complex software programs, and tools for clients.

Defined, established and worked with the best MLOps best practices to enhance automation, monitoring, and scale.

Provided on-going support for machine learning solutions - identifying and fixing defects on solutions.

Developed and deployed microservices to handle data and reporting tasks - ensuring data consistency on the platform.

Designed and implemented the flow of information across multiple 3rd-party tools used by different teams within ZotaPay.

Provided subject-matter expertise for financial data reporting and modelling using modern data science techniques.

Designed, developed and implemented Mereo's algorithmic trading and backtesting platform.

Worked on different backtesting trading strategies utilizing technical and fundamental analysis indicators and ML models.

Developed and deployed processes to handle portfolio risk modelling, data ingestion and processing on Mereo platform.

Designed and developed the recommender system to enhance social interaction on the Tradeo platform.

Built and released high-level reports on company financials for high-level management within the company.

Developed and implemented new tools to optimize marketing solutions and delivered reports on Tradeo's exposure and risk.

Deployed new solutions to process Twitter's Firehose stream - enhancing the event discovery functionalities.

Implemented NLP solutions to improve Named-Entity Recognition and mapped out the interaction of entities on the platform.

Designed and built solutions to enhance the ontology of current news and facts on Twitter.

Implemented text-based classification solutions to enhance website categorization on the AdCash platform.

Built and deployed AdCash's ad-serving engine to optimize revenue and improve advertiser-publisher matching.

Deployed modern ML approaches to enhance solutions on the project using Recommender Engines, Regression Methods, aNN, and Decision Trees.

Buil and implemented a core suite of web applications leveraging modern Python frameworks and tools.

Reviewed existing Python codebases to migrate them to newer Python versions - providing recommendations for improvements.

Identified, debugged and resolved complex defects, bugs and issues on solutions.