Managed a portfolio of cross-functional Customer Experience products from Sales Service automation, Marketing Platform, Commerce Platform, and Data Platform.

Supporting market growth through the partner enablement of CX solutions in South East Asia countries.

Developed a sales strategy to increase market share by becoming a digital champion at SAP, accountable for video content creation and virtual engagements.

Conducted needs assessments with customers, identified core business issues, and delivered solutions to increase customer retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Accountable for the presales of Customer Experience cloud apps portfolio, from Sales Cloud, Service Cloud (RightNow), Social Cloud, and marketing platforms (Responsys and Eloqua) supporting South East Asia region.

Developed a sales strategy to increase market share in South East Asia.

Conducted needs assessments with customers, identified core business issues, and delivered solutions to increase retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Outperformed as the best presales of Customer Experience cloud apps portfolio, from Sales Cloud, Service Cloud (RightNow), Social Cloud, and Marketing platforms (Responsys and Eloqua).

Developed a sales strategy to increase market share by creating a new partner community special in CRM/CX.

Conducted needs assessments with customers, identified business issues, and delivered solutions to increase retention rates and revenue.

Presented demo proposals for product solutions to customers, including benefits and ROI to customers and executive stakeholders.

Responsible to handle 4 enterprise products: Red Hat, SAP, Veeam, and Informatica.

Drove revenue growth, partner readiness, sales incentive programs, and build executive partner relationships.

Developed partner sales capacity and capabilities to achieve targets, created a partnership model, and developed sales process.

Successful to implemented new business in CRM portfolio, achieved the first deal for Salesforce.com in the company.

Responsible to handle CRM portfolio product division on Salesforce and performed sales, presales demo and presentation to customers.

Designed network blueprint and solution to customers and responsible for performing POC demo and presentation to customers.

Responsible to create sales and technical proposals regarding the design and solution.

Led the development of a service that provides automated pen-testing to internal front-office facing teams while managing and mentoring 3 pen-testers (Python, Java Spring Boot, Angular JS, OracleDB).

Developed a web application that orchestrates vendor vulnerability scanners to scan over 100,000 cloud and hardware infrastructure within the firm, while also providing metrics via an API and UI (Java, Spring Boot, Angular JS, OracleDB).

Led the analyst peer mentoring committee for Jersey City by conducting event planning, budget analysis, mentor and mentee pairing, and mentor training for over 200 analysts.

Increased the firm's technology risk oversight by 60% with the development and integration of new infrastructure scanners into the risk reporting engine (C#, T-SQL).

Automated 75% of the manual QA testing by developing a new UI test tool for the risk dashboard (Python, Selenium).

Improved satisfaction rating by 50% by building documentation and training for the risk dashboard.

Increase the performance of the firm's technology risk dashboard by 80% by integrating a new infrastructure data source into the pipeline (Java, T-SQL).

Reduce 45% of the overhead costs of the analytics team by implementing an excel exporting integration into the risk report engine (Java, Python).

Supervised 60 consultants on campus, led onsite training, and conducted employee recruitment.

Created a staff dashboard that serviced over 350 computer lab employees by providing specific tools and metrics based on their lab location (HTML/CSS, JS).

Increased the accuracy of recording the student capacity in each lab by 95% with a script that utilized API services to track computer usage and location (Python, Google Script).

Under Prof. Marco Benjamin, researching systems analysis, scalable systems and execution tracing.

Created cloud-native translation app, used NodeJS and Google Cloud APIs/Functions to save the company $150,000/year.

Built Microsoft Teams Bot for translate app with NodeJS, GCP, Docker, and Kubernetes, reduced translation time by 99%.

Connected internal transcription application with Five9 API using NodeJS to transcribe 1000s of company voicemails.

Designed application diagrams using LucidChart/Drawio, introduced 100% automated test coverage with Mocha.

Collaborated in an agile manner with cross-functional team sprints, participated in 100% of daily scrums.

Contribute to open source projects hosted on GitHub, manage pull requests, and code reviews.

Automated scraping journal website, parsing and cleaning the data using Python, connected app to CouchDB database.

Managed the lab, taking responsibility of all faculty, staff and students within the lab.

Engineered automation system for web form development using C# (NUnit), TSQL and TFS, cutting front-end development time by 75% and reducing referential integrity errors by 90%+.

Modernized flagship product to fit current browser standards, introduced CRUD functionality using C# and ASP.NET.

Developed Web Forms for the ePCR system using Gridbox, Jquery/Javascript, HTML and CSS.

Created xWiki for internal documentation, scaled down required meetings accelerating on-boarding by 70%.

Managed over 40 websites using Adobe Suite, HTML, CSS in WordPress & Drupal.

Designed the data models in Microsoft Azure Kusto Systems for tracking and ingesting product telemetry data to Snowflake data warehouse, thus making 15+ feature usage data available at an hourly refresh rate with billions of data points ready for analysis/modeling for all data science use cases.

Led and executed on entire DBT strategy of automating, monitoring, and maintaining datasets for internal data mart thereby freeing the data engineering team's resources up to 50%.

Collaborated with product software engineers, data scientists, and product managers for governance around establishing standards for product instrumentation data.

Coordinated and streamlined process between upstream dependencies thereby reducing the time taken to land data in the analytic database from 6 weeks to 2 weeks.

Established TDD for internal data governance project to check for permissions, violations, and managing environments for data.

Designed, developed, and integrated python audit framework and monitoring system for increased visibility around 100% of automated data pipelines which helped the data engineering team meet all SLAs in terms of data availability and data quality.

Created automated data pipelines which scanned git repositories and landed data in Snowflake warehouse via AWS S3 which enabled product engineering teams to get access to internal engineering metrics like codebase transition, thereby reducing the internal code-migration roadmap timeline by 40%.

Delivered in-product feedback dashboard which ties feedback data to internal accounts data that enabled data scientists to perform Net Promoter Score Analysis, Sentiment Analysis and is currently used by 20+ teams with Docusign including PMs, Engineers, leadership.

Data scraping (automated) in Python(object oriented, using BeautifulSoup, Selenium).

Statistical analysis (descriptive), user clustering, data visualization(Python and Power BI).

Creation of a SQL database for Tableau.

Fetched data on a AWS Redshift database using SQL (PostgreSQL), up to 10,000,000 of rows.

Processed, cleaned and formatted various data using NumPy and Pandas.

Visualized data using QuickSight and Python libraries (Seaborn, Matplotlib), created a dashboard.

Implemented a machine learning regression model (random forest) for time series prediction in 3 weeks.

Led a group project (team of 5): leadership, project management, teamwork, task assignment.

Created a collaborative platform for service selling (database management, programming, business plan).

Designed, developed, and implemented a market entry strategy and pitch deck for a new product.

Led efforts to improve efficiencies, increase sales and develop a business strategy in 5 different industries by implementing lean concepts and practices.

Achieved web content annotation and data labeling for Al training, for top tech. companies.

Reviewed/ annotated/ wrote code for existing programs and integrated existing data sets.

Collected, organized, and annotated images from open source projects and corporate projects into a single database for use in information management and analytics platforms.

Involved in building robotic actuation and sensing with the accuracy of 99.72%.

Built robotic vehicles and manipulators for national defense purpose.

Collaborated Robotics Modeling and Simulation, Robotic Systems Estimation, and Robotic Mobility for 6 months.

Generated and released tests on petrochemical assets with ANSYS mechanical and met project timelines 87% faster.

Drafted procedure recommendations and Kanban charts to ensure product excellence, growing number of accounts from 89 to 102.

Discussed expansions, and concerns with clients and classified feedback for senior managers, increasing service fulfillment by 3.1%.

Lifted facility efficiency with Value Stream Mapping(VSM) and Kaizen, optimizing worker to workload proportions by 5.2%.

Promoted efforts of establishing three new vendor relationships to result in 7.8% cost-benefit, from $112,000 to $103,264.

Examined process and inventory control and presented plans for future procedure revisions in biweekly 19 personnel presentations.

Built AI tools to determine future mainframe system behavior in real-time and developed neural network and natural language processing models in Python to predict program output and failures based on firmware changes, the total value added to the project estimated at $200K per system and $1M per year.

Applied theories of mathematical optimization and linear programming algorithms to discover optimal supply chain solutions.

Designed and developed complex simulation and optimization models (C/C++) to craft profit-generation strategies and containerized and deployed optimization applications to Kubernetes clusters on IBM Cloud resulting in a project that provides an annual ROI of $250K.

Developed analysis and visualization tools for IoT data using Python data science libraries (SciKit-Learn, Pandas, TensorFlow).

Analyzed operational and hyperlocal weather data using statistical methods and reviewed research data and crafted tailored strategies for new client acquisition.

Collected and analyzed data from news and social media sources, and developed predictive models for cryptocurrency futures trading.

Designed Natural Language Processing (NLP) algorithms to valuate cryptocurrencies using sentiment analysis (Python, NLTK).

Provided analytical support for the launch and management of new quantitative investment products & strategies.

Analyzed and managed financial data of up to $500K per year for Columbia personnel and developed strategies to reduce financial waste and optimize budget & resources by leveraging advanced capabilities in Microsoft Excel.

Researched methods for P&L optimization based on budgets, and presented reports of research findings using data visualization tools.

Designed and developed automated testing frameworks using C++ and Java for manned, deep-space exploration spacecraft.

Analyzed testing data output and compiled research papers for senior software engineers and conducted optimization and operations research and presented findings to senior government officials.

Led and managed a team of engineers, and successfully delivered multiple IoT products on time and on budget.

Improved average delivery time of development projects by 20% by streamlining the engineering process and allocating more resources to development.

Ensured projects are completed on time and within budget by hiring and retaining a team of highly efficient and motivated engineers.

Developed and executed on the roadmap for the engineering team which resulted in the fastest and safest delivery of company software in the company's history.

Implemented software development methodologies and best practices, including the use of automated unit testing, static analysis, and system-level integration testing, which resulted in a significant reduction in defects and greatly improved the quality of released software.

Lead design, architecture, and development of IoT core applications that supported millions of telemetric data from thousands of connected devices by optimizing the algorithm that aggregates data from all devices.

Migrated a monolithic app to a microservice architecture using Kubernetes and Docker, resulting in a 10x improvement in the number of features completed each week.

As VP of Engineering, designed and architected scalable telemetric data storage which resulted in a 10x increase in read and write performance with a 10x reduction in storage costs.

Developed a rules engine to evaluate near-real-time metrics data for customers.

Spearheaded SOC2 Type 1 and Type 2 report certification to ensure security protocols are up-to-date and drive the company ahead of the competition.

Architected and managed AWS infrastructure and led the development, deployment, and maintenance of API core services.

Improved video recommendation engine's video clickthrough rate by 10% by adding a new recommendation algorithm.

Developed an Isomorphic React application and improved its performance by 30% by introducing code splitting.

Developed web applications utilizing BackboneJS, CodeIgniter, and PostgreSQL.

Reduced response time by 75% for a critical application by implementing a caching layer with Memcached.

Led the AWS architecture design for Skyport Cloud, which resulted in a 90% reduction in infrastructure costs, and a 10x decrease in deployment time.

Developed microservices in a team of 4 engineers, resulting in a robust, distributed, and scalable system to support 100,000+ WiFI-connected thermostats.

Developed Business Intelligence application for enterprise customers to manage energy consumption across multiple brick-and-mortar locations.

Designed and developed a SPA for the client's internal team, which increased their productivity by 33%, utilizing Adobe Flex and Java.

Led the transition of the company's web platform from Flash to a JavaScript-based architecture utilizing BackboneJS and a RESTful API, resulting in improved developer workflow, reduced development time, and increased user satisfaction.

Managed 3 teams of strong cross-functional engineers across many aspects of the property and asset management divisions.

Consolidated 2 acquired companies into one cohesive product and operational system by leading a cross-functional team to develop a roadmap and timeline for the project during and after the consolidation, resulting in 20% fewer operational staff.

Mentored over 20 engineers by coaching, leading performance reviews, and offering constructive feedback, which resulted in a 5% increase in performance reviews performed on time.

Designed and architected the complete microservice system for powering property management for over 2000 homes in under 9 months with a team of 6.

Collaborated with a cross-functional team on ETL (Extract, Transform, Load) design and implementation, speeding up the processing time by 60% by creating a new pipeline in Python to process the data.

Developed database architectural strategies for modeling, design, and implementation to address business requirements, using a combination of UML and Python, increasing data throughput by 100%.

Steered efforts to increase the new owner and property onboarding rate by more than 50%.

Reduced time to market product deliverables by 50% using DevOps techniques, such as continuous integration and delivery (CI/CD), on the Amazon Web Service (AWS) infrastructure.

Managed a data team of 5 by holding weekly meetings and setting quarterly goals, with a team productivity increase of 25%.

Implemented a data ingestion strategy for accessing third-party programmatic application interfaces (APIs), reusing code, reducing the time to integrate new APIs by 80%, and increasing the number of APIs supported by 50%.

Accountable for the $2M+ data engineering budget in a highly competitive environment by providing monthly reports to stakeholders and key executives on the status of projects.

Modeled and perfected forward-thinking systems that meet user needs and improve productivity by 80% using Fluter and Swift.

Created custom mobile applications using native technologies for a large company, increasing the client's sales by 20%.

Applied the latest emerging technology, software, and project application trends to update and maintain site applicability for a client.

Led the product development of the Unity program platform for the A350, B787 & B777 Aircrafts, ensuring on time delivery and quality of the mechanical design.

Oversaw the mechanical design groups (16 engineers) of the USA and Mexico by chairing internal design review meetings and providing analytical and creative feedback.

Coordinated the mechanical design development, from concept generation to design validation and testing, between five sister companies design groups located in Wales, France, Tunisia, Mexico & USA.

Monitored design targets for performance, weight and cost by tracking and implementing weight reduction strategies as well as cost saving measures.

Chaired program design review meetings with supporting engineering disciplines & Integrated Product Team (IPT) to ensure effective communication, design harmonization and overall product quality.

Created and tracked high-level schedule (MS Project), according to product development roadmap, for the Unity platform (24-month program) by coordinating development with mechanical & electrical design, flammability, stress, certification, testing, industrialization, and tooling departments.

Monitored design to cost by tracking recurring and non-recurring costs (RC & NRC), ensuring clear cost targets (20% less than current programs in production), and creating accountability among the team.

Defined and managed changes to technical scope statement (WBS), working with cross-functional departments, by overseeing product design reviews, detailed cost analysis, design for manufacturing, quality criteria, and process standardization throughout design phases such as Preliminary Design Review, (PDR), Critical Design Review (CDR), First Article Inspection (FAI), product launch and aftermarket sustaining efforts.

Achieved on-time completion of all engineering deliverables on the concept design phase (4 months) for the Unity platform program, by gathering, distributing, and tracking requirements per PBS item to the design engineers.

Led up to 4 production programs at a time (i.e. KLM 787, American Airlines 777, ANA 787, Emirates A380) to ensure on-time delivery by facilitating support to operations.

Processed Engineering Change Request (ECR) by proposing solutions using problem-solving/root cause analysis methodologies (QRQC, 5WHY, DMAIC).

Scheduled engineering changes release plans for 3D models and 2D drawings to support production by approving designs for prototype submittal to validate design changes.

Handled improvements to the product submitted by operations by generating and tracking engineering change notices (ECN) and notifying Boeing or Airbus using the Request for Authorization of Change (RAC) and (EDES) Equipment Definition Evolution Sheet respectively.

Communicated released engineering changes to the Integrated Product Team (IPT) by being an engineering member of the Change Control Board (CCB).