Shirish R. Email & Phone Number

Framingham, Ma, Us

A trusted advisor to senior leadership. Working on enterprise architecture that is business modeling, process and data modeling, technology architecture, application assessment and rationalization, and TCO analysis.• Lead AI/ML and Data Platform Transformation and technology modernization.• Business Modeling, architecture, Process and System design.• Establish current state and develop target state architecture based on vision and road map. • Prepare and present architecture solutions and recommendations to senior leadership that drives business value.• Provide technical leadership and guidance to teams on designing, developing, and deploying solutions, and conduct PoC /PoT to validate business use cases for technology fitness.• Prepare standards, best practices, and work with stakeholders for adoption and governance.

Cambridge, Ma, Us

Built out Bigdata analytics and ML based on Databricks in AWS for SSGA investment research teams that enabled those teams to do research better and faster to improve Portfolio ROI.• Operationalized Databrick in AWS cloud with Docker, S3 bucket, Delta Lake, Apache Spark.• Leading DevOps and SecOps design and implementation; Automating ML CICD pipelines; design and implementation of binary scanning of Docker, Python, Spark and R packages using Black Duck.• Conducted PoC on Snowflake with Research use cases. • Architected and implemented system based on TOGAF and 4+1 View Model framework and software best practices.• Developed solution in Databricks and Snowflake for Analytics solution for clients.• Defined business and development processes, tool usage for data acquisition, storage, transformation, and analysis. Implemented scalable data platform.• Engaged Business and technology data strategy, conducted customer workshops and discovery sessions, then presented solutions to stake holders and executives.Client: State StreetBuilt out Bigdata analytics and ML based on Databricks in AWS for SSGA investment research teams that enabled those teams to do research better and faster to improve Portfolio ROI.• Architected system based on TOGAF and 4+1 View Model framework and best practices.• Operationalized Databrick in AWS cloud with Docker, S3 bucket, Delta Lake, Apache Spark.• Architected DevOps and SecOps and lead the implementation - automating ML CICD pipelines; design and implementation of binary scanning of Docker, Python, Spark and R packages with Black Duck.• Conducted PoC on Snowflake with Research use cases.

Boston, Massachusetts, Us

Managed large diverse teams across State Street (Global Service (GS), Global Advisors (GA), Global Management (GM), and Global Exchange (GX)) which had members, including analysts, developers, designers, and QA testers. Promoted collaboration within team and among teams to produce high-quality deliverables that provided value add to the clients. Client Management• Drove delivery of enterprise customer engagement solutions for multiple client partners with budgets upwards of $15M• Developed relationship with client managers and stakeholders • Partnered with client to identify new initiatives/opportunities, new technology solutions, process improvements, automation opportunities• Led full project lifecycle, from due diligence/discovery to project initiation and governance through design/build/test, operational readiness, deployment, and follow-up analysis• Ensured project teams met their targets, KPI sand, SLA.Project Delivery• Motivated individuals to perform at high levels • Set performance goals to the team, removed barriers/obstacles to meet goals • Owned technical vision and up-held standards and best practices • Managed scope, costs, and schedule partnering with client managersNotable Projects:DevOps Project – Architected DevOps platform to enable CI and then CD. Architected and implemented the global CI pipelines for SSGA. CICD Tool set is Jira, Confluence, Bitbucket, Artifactory, Jenkins.Verus Project – Staffed, managed, and led a team of engineers (python, data scientists, UI developers) in developing AI/ML based Investment Decision Support product that architected based on micro-service architecture implemented on python AI/ML packages including Tensorflow, data stored in MangoDB, and graph data in Neo4J. Fenergo Project -- Implemented Fenergo project for the Dodd-Frank and the AML regulatory processing and reporting for SSGM. Removed roadblocks, focused teams to fix critical issues which enable us tonadopt Dodd-Frank and AML rules.

Improved company’s products by enabling them in AWS Cloud and improving the performance by 10x. The products are for the healthcare analytics that specializes in clinical intelligence. • Migrated product into AWS cloud which required designing and developing components to enable the product to be working in the cloud. The components include NLP-UIMA and Solr/Lucene Search Engine.• Migrated the “QPID” application server to take advantage of new search service based on Apache Solr (Lucene).

- Partnered MIT Professor on research on Knowledge Discovery (Machine Learning and Artificial Intelligence)- Research and Development of Cloud based Federal Aviation Authority (FAA) systems- Research and Development of software application for transporting large weather data across continental US for Federal Aviation Authority (FAA)

Boston, Massachusetts, Us

Designed, implemented, and deployed Electronic Trading, Back-Office Processing, Cash Trading System, and Content Delivery Network (Enterprise Messaging) systems. Also designed and implemented automatic horizontal-scaling as performance needs rise.• Assured code quality by having a defined process in build, release, and test cycles, and code review processes.• Architected, Designed, and Developed the Corporate Action Entitlement Processing System that allowed trading systems to update their position real-time. This allowed Investment Managers to make better decisions. • Architected, Designed, and Developed an Electronic Trading System based on FIX that allowed Equity and Fixed Income trading systems to do Straight Through Processing. Improved the. productivity of the traders by reducing their phone calls to brokers and improved quality of data.• Architected and presented an Enterprise Messaging system (Content Delivery Network).

Boston, Massachusetts, Us

Trading Systems: - Global Trading Platform - All types of Financial Instruments - Mortgage Trading Platform

Front Office - Trade Order Management - Equity, Fixed Income, DerivativesMiddle Office - Settlement Systems - Trade reconciliationBack Office - - DTCC Matching, - Trade Communication to Custodian via SWIFT messaging and proprietary, - Securities lending Enterprise Systems - - Content Delivery Network within enterprise

Ms In Computing, Peer To Peert Distributed Computing

Ms In Applied Economics, Finance

Bs, Economics

Short Program, Computer Engineering