• Work with product development and services teams to organize sprint meetings – bringing stakeholders together and ensuring necessary team communication take place. • Facilitate daily standup meetings, sprint planning, and sprint closeout (review and retrospective meetings) Release planning, Demos, and other Scrum-related meetings. • Ensure daily scrum discussions are brief and relevant. • Remove project impediments and coordinate with stakeholders to resolve problems reactively and proactively. • Involve all stakeholders to size work and ensure sprints have optimum velocity. • Communicate constantly with IT, Business and provide senior management with visibility on project execution via Sprint/Release burndown charts. • Resolve team conflicts by focusing on scrum values of openness, honesty, and respect. • Work closely with the Product Owner in backlog management and continuous delivery of features. • Estimate effort and clarify requirements and edge cases by facilitating backlog grooming meetings.

  San Antonio, Texas 

  June 3, 2026 

• Defined intent taxonomy, dialogue state architecture, and multi-turn conversation flows for an AI-powered customer support agent on the 7-Now on-demand convenience and delivery marketplace, requiring applied knowledge of natural language processing systems and conversational AI design principles. • Coordinate with engineering teams to establish large language model integration specifications, webhook API contracts, and real-time order management system interfaces. • Oversee functional and regression testing of agent behavior across merchant dispute resolution, order lifecycle management, and last-mile delivery analytics scenarios. • Synthesize agent performance telemetry into technical status reports and product insights for platform governance stakeholders. • Facilitate design and development of AI-powered Software Development Lifecycle framework leveraging Claude large language models and Windsurf agentic IDE workflows to automate requirements engineering, user story generation, and sprint scope management. • Design prompt engineering specifications and chain-of-thought workflow templates governing automated PRD generation, acceptance criteria, and spec generation. • Direct integration of Atlassian JIRA, Confluence, and Figma MCP connectors into end-to-end agentic product delivery pipelines; establish governance standards for AI-assisted tooling adoption including output validation protocols and quality assurance checkpoints. • Plan, initiate and manage detailed project plans encompassing system architecture objectives, API integration milestones, technical requirements, and phased delivery schedules. • Analyze merchant operational data from AWS cloud infrastructure, MongoDB document databases, and internal Datalake pipelines to surface merchant health scoring, incentive utilization trends, and subsidy metrics for marketplace platform. • Establish structured project communication frameworks and stakeholder reporting cadences ensuring executive visibility into technical program status; confer with engineering, UX, and business development teams to diagnose and resolve cross-functional blockers and monitor sprint milestones

  Irving, Texas 

  June 3, 2026 

• Design and lead end-to-end UX research using mixed methods (qualitative and quantitative), including usability studies, surveys, experimental design, card sorts, tree tests, and systematic literature reviews. • Develop research roadmaps, documentation, and repositories to scale insights across teams and build institutional knowledge. • Conduct literature reviews and create theory-informed research briefs grounded in behavioural science to guide product decisions. • Define success and guardrail metrics; perform power analyses, randomization, and statistical testing including t-tests, regression, and ANOVA. • Use tools such as SQL, Python, and R to clean, model, and visualize experimental and behavioural data. • Translate complex research data into clear, actionable insights for cross-functional product, design, and engineering teams. • Present research findings through compelling storytelling tailored to diverse audiences, including executive leadership and cross-functional stakeholders. • Facilitate workshops using service design principles to align stakeholders and drive consensus on product priorities and strategic direction. • Collaborate with product, design, and engineering teams to shape strategic research roadmaps and influence product decisions through evidence-based recommendations. • Apply remote research platforms including UserTesting.com, dscout, Qualtrics, and Alchemer to recruit participants, administer studies, and collect behavioural data at scale. • Establish validation models and scalable research frameworks to assess the technical feasibility, user adoption potential, and operational impact of emerging retail technologies. • Evaluate early-stage concepts and emerging technologies including generative AI and virtual reality tools, translating research findings into validated product strategies for digital and physical retail contexts. • Stay current with research methodologies, behavioural science literature, and experimentation best practices to continuously advance the quality and rigor of research conducted at 7NEXT R&D Labs.

  Irving, Texas 

  May 26, 2026 

Design, develop, and maintain scalable data pipelines and data integration processes for collecting, transforming, and analyzing large volumes of structured and unstructured data. Analyze enterprise data sets using statistical techniques and data modelling methods to support business intelligence, predictive analytics, and data-driven decision making. Develop and implement machine learning and data processing solutions using Python and related libraries such as pandas, numpy, and scikit-learn. Build and optimize relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, and DynamoDB, to support analytical and reporting requirements. Perform data mining, cleansing, validation, and transformation activities to ensure data quality, consistency, and integrity across enterprise systems. Develop predictive models, trend analysis, and analytical algorithms to identify business patterns, operational insights, and performance improvement opportunities. Integrate and process real-time and batch data streams using technologies such as Apache Kafka, RabbitMQ, and AWS SQS to support analytics and reporting initiatives. Deploy and maintain data analytics and machine learning applications in AWS and Azure cloud environments. Create dashboards, reports, and data visualizations to communicate analytical findings and business insights to stakeholders and management teams. Collaborate with cross-functional teams to identify business problems, define analytical requirements, and deliver scalable data-driven solutions. Conduct database performance analysis, query optimization, and data modelling to improve reporting efficiency and analytics performance. Implement data governance, security standards, and access controls to ensure compliance with enterprise policies and regulatory requirements. Automate data workflows, model deployment, and reporting processes using scripting, CI/CD tools, and cloud-based technologies. ·Research and evaluate emerging data science, machine learning, and analytics technologies to enhance enterprise data capabilities. Support the development and maintenance of enterprise analytics platforms and data-driven applications to improve operational and business performance.

  Houston, Texas 

  May 26, 2026 

Collaborate with Credit Risk team to enhance risk management processes and ensure compliance across global trading operations. Gathere, analyze, and document business requirements for credit risk reporting and regulatory compliance initiatives. Work extensively on reporting solutions using Hyperion to support financial and risk data analysis. Provide Business Analysis (BAU support) for CubeLogic Risk Cubed, ensuring seamless integration with multiple ETRM systems. Integrate 6+ ETRM (Energy Trading & Risk Management) systems, including Openlink Endur, RightAngle, EOS, and bespoke trading platforms to support multi-commodity trading. Support end-to-end Commodity Trading & Risk Management processes across: Trade Capture, Limits & Risk Management, Confirmations & Settlements, Regulatory Reporting Act as a liaison between business stakeholders, technical teams, and third-party vendors to ensure accurate system implementation and enhancements. Spearhead implementation of Low Carbon Biogas Trading within Openlink Endur (v17 & v23), aligning with sustainability and energy transition goals. Conduct impact analysis, UAT (User Acceptance Testing), and validation of system changes for risk and trading workflows.

  Houston, Texas 

  May 26, 2026 

Collaborate with Data Science and Quantitative Analytics teams at Wells Fargo on model fine-tuning, retrieval optimization, model guidance, and inference tuning to improve response quality and consistency. Build proof-of-concept Generative AI solutions using LangGraph, Hugging Face Transformers and Tokenizers, PyTorch, LangChain, and BentoML to prototype domain-specific banking AI workflows, evaluate model behaviour, and support model serving readiness. Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and answer quality. Conduct model experimentation, evaluation, and optimization to improve generation quality, retrieval accuracy, inference consistency, and domain-specific response performance. Evaluate LLM and reranker performance across high-volume inference workflows using model quality checks, retrieval metrics, and output consistency analysis to ensure precise and stable responses.. Design and integrate prompt-level guardrails using Model Armor, Prompt Guard, and LLaMA Guard 3 to support safe, compliant, and reliable model behaviour in enterprise banking use cases. Engineer embedding strategies and optimize semantic similarity retrieval mechanisms to improve contextual relevance across large-scale structured and unstructured banking datasets.

  Charlotte, North Carolina 

  May 26, 2026 

Manage and maintain MongoDB databases across both production and non-production environments, ensuring systems remain stable, secure, and able to scale as usage grows. Continuously monitor database performance, identify potential bottlenecks, and improve efficiency through query optimization, indexing strategies, and better schema design. Write and execute advanced MongoDB queries and aggregation pipelines to retrieve, analyze, and validate data needed by backend applications and business operations. Handle database deployments, tenant provisioning, backups, patching, and system upgrades to maintain reliability and ensure data integrity. Work closely with Java-based backend applications to improve database connectivity, optimize data access, and support overall application performance. Investigate and resolve production issues related to databases and applications by performing log analysis, troubleshooting errors, and conducting root-cause analysis. Design and maintain efficient data models and database structures that support scalable and well-organized application data. Maintain database security by managing user access controls, authentication mechanisms, and implementing best practices for data protection. Collaborate with application developers, DevOps engineers, and other cross-functional teams to enhance backend systems and support project goals. Apply concepts from my STEM education, including database management, algorithms, and software engineering principles, to improve system reliability, efficiency, and performance.

  Austin, Texas 

  May 26, 2026 

Requirement gathering, analyze, design, develop, test, debug, troubleshoot and maintain applications using skills like Swift, SwiftData, SwiftUI, RxSwift, Objective C, JavaScript, Node.js, JSON, Gitlab CI/CD, Jenkins, Visual Studio.

  Edison, NJ 

  March 13, 2026 

Testing automation, setup, execution, data analysis, test analysis. Extensively involve in the development of various automation scripts for Smoke Testing, Regression Testing, Functional Testing, System Integration Testing, End to End Testing.

  Edison, NJ 

  March 13, 2026 

Lead consulting team across Project Management/Consulting streams in projects and accounts. Involve in business requirement analysis and documentation, functionality gap analysis, solution design discussion and solution implementation.

  Edison, NJ 

  April 7, 2025