Accomplished Vice President at JP Morgan Chase, adept in leading FINOPS and Observability for firm wide AI/ML platform, with a strong focus on innovation and cost-efficiency. Expertise with diverse technological areas spanning Public and Private Cloud, AI/ML, Database, Data Warehousing, Backend and Frontend development, alongside managerial skills in team leadership and complex problem-solving. Proven track record of developing AI/ML automation tools, significantly reducing manual hours and enhancing decision-making processes. Performance-driven Vice President with 18 years of experience aligning systems with business requirements, policies and regulatory requirements. Passionate about applying excellent organization and communication skills to manage and lead teams. Results-oriented individual well-versed in interfacing and consulting on business processes to drive results based on sound overall business judgment.
• Leading the FINOPS and Observability team for company's AI/ML Training and Serving platform.
• Crafting creative visualization dashboards for Senior leadership to observe the financial spend of customers using Quicksight on multiple dimensions
• Accountable for the timely and comprehensive delivery of FINOPS and ORP functionalities
• Establish effective communication with various stakeholders across the platform to identify interdependencies and develop the execution plan.
• Provide the senior leadership team with timely updates on the project status.
• Attend the PI planning meeting to understand the quarterly deliverable milestones. Identify dependencies with other teams and collaborate with them promptly to secure the necessary supporting features.
• Extensive experience with AWS development using Infrastructure as code tools like Terraform
• Ideated and developed multiple Automation tools for projects using AI/ML which has significantly reduced manual Business hours significantly.
• Completed the course “Programme on Business Analytics and Machine Learning for Asset and Wealth Management in JP Morgan” from IIM-Bangalore conducted between May 2020 till December 2020(15 Programme Days)
• Experience on diverse technological areas such as Artificial Intelligence(AI)/Machine Learning, Full Stack Application development, Spring Boot, Angular, Mainframe, ETL, Python development, spanning various domains such as Banking & Finance, Retail, Telecom, and Securities.
• Application development on both Server side and Client side using Java, Angular and Oracle for Guidelines portal.
• Design and develop the Guidelines portal featuring technical stack including Java, Angular, Oracle
• Technical consultant with Strong understanding of AI and Machine Learning/Deep Learning Algorithms.
• Ideated, designed and developed the feature to predict possible Guideline narratives from Guideline documents using NLP (Sentence Segmentation and Doc2Vec).
• Created a solution for similarity between Instrument names using “Sentence Similarity using Siamese LSTM”.
• Developed a Proof of Concept on “Diversification of Portfolio” using Time series Clustering in Machine Learning.
• Adept at creating R scripts for Performance and Performance related calculations of Portfolios.
• Extensively worked on Behave(Python) using Behavior-Driven-Development(BDD) framework in Data
• Developed scalable applications using agile methodologies for timely project delivery.
• Optimized code performance for improved user experience and system efficiency.
• Managed multiple projects simultaneously while maintaining strict deadlines and high-quality standards.
• Maintained comprehensive documentation of development work, facilitating knowledge sharing among team members.
• Enhanced software functionality by identifying and resolving complex technical issues.
• Worked with project managers, developers, quality assurance and customers to resolve technical issues.
• Provided technical support using knowledge of complex technology to solve problems and support new projects.
• Streamlined development workflows, increasing team efficiency and reducing time spent on repetitive tasks.
• Demonstrated experience and good hands-on programming experience ETL, Mainframe and Python
• Mentored junior developers, fostering professional growth and enhancing team productivity.
• Worked with development teams to correct problems and run test scenarios.
• Checked client code for bugs and weaknesses using approved troubleshooting methods.
• Led architecture discussions, driving innovation in software design and implementation strategies.
• Extensively worked on Behave(Python) using Behavior-Driven-Development(BDD) framework in Data warehouse projects.
• Deployed multiple applications to Private cloud on Java and Python platforms.
• Experience in creating Fitnesee test scripts using BDD as part of DWBI Automation
• Involved in design and implementation of ETL automation framework into production using Behave
• Well experienced in automation for UI application in Selenium Webdriver using JUNIT and TestNG for SPARTA.
• Expertise in Various SDLC models like Agile/BDD, Waterfall & V-Model
• 4+ years in ETL automation with extensive exposure to Informatica Power Center, Unix and PL/SQL.
• Proficient in SQL querying comprising complex scenarios and also identifying defects in requirements and designs using SQL queries.