Node.Digital

Business Analyst

• Facilitate structured requirements workshops with HRSA program stakeholders (OIG, Grants Division, FDMP program office) to elicit and document business requirements for fraud detection, anomaly flagging, and case management workflows.
• Translate business requirements into user stories, acceptance criteria, and process flows; maintain a traceable requirements matrix (RTM) throughout the EPLC lifecycle.
• Review and validate EPLC planning deliverables (Business Requirements Documents, Concept of Operations, System Requirements Specifications) to ensure they accurately reflect HRSA’s fraud detection intent.
• Apply working knowledge of federal grant fraud, waste, and abuse (FWA) patterns to inform model design decisions: improper payment types, duplicate entity schemes, inflated cost reports, and sub-awardee integrity risks across HRSA grant programs.
• Support the AI/ML Lead Engineer in defining supervised classification labels, anomaly detection thresholds, and SHAP feature interpretation from a business-rules perspective.
• Validate model outputs and HITL review queues against known FWA patterns; flag false-positive risks and provide business-logic guardrails to data science team.
• Contribute to the design of the Portfolio Risk Manager agent’s risk scoring logic and grantee-level threshold calibration; ensure scoring outputs are interpretable and defensible for HRSA investigators.
• Own and maintain the product backlog in coordination with the Program Manager and AI/ML Lead Engineer; write well-formed user stories and acceptance criteria for all sprint deliverables.
• Facilitate Agile ceremonies including sprint planning, backlog refinement, sprint review, and retrospective in accordance with the program’s SAFe-aligned delivery cadence.
• Coordinate with HRSA stakeholders to prioritize backlog items based on fraud risk impact, EPLC gate requirements, and HRSA program office readiness.
• Serve as the primary liaison between HRSA fraud program offices and the technical delivery team; translate government feedback from sprint reviews into actionable backlog items.
• Prepare and present sprint demo materials and stakeholder briefing summaries; document HRSA decisions and action items from all program meetings.
• Collaborate with the AI Agent / HITL Engineer to design analyst-facing review queues in UiPath Apps; define case prioritization logic, routing rules, and disposition workflow requirements.
• Document HRSA analyst workflow patterns and configure HITL interface requirements so that AI-generated risk flags are presented in context usable for real-world fraud investigations.

Fraud Business Analyst, SME

Machine Learning Engineer

• Support data preprocessing and feature engineering pipelines under senior engineer direction: clean, normalize, and validate HRSA fraud-related datasets; handle class imbalance preparation (SMOTE, undersampling) and train/validation/test split management.
• Assist in the development, training, and evaluation of supervised fraud classification models; compute and document standard evaluation metrics (accuracy, precision, recall, F1 score, AUC-ROC, confusion matrices) for government review in EPLC-required model evaluation reports.
• Maintain and monitor ML experiment tracking using MLflow or equivalent tooling approved for the IRMS environment; log hyperparameter configurations, training runs, and evaluation results with full reproducibility documentation.
• Support model drift detection and retraining pipelines: run scheduled evaluation jobs, flag performance degradation against established baselines, and escalate findings to the AI/ML Lead Engineer and Fraud AI/ML SME.
• Assist the NLP/NER pipeline team (Rohit) with data transformation tasks: format-convert NER pipeline outputs into feature-compatible schemas for downstream ML models; validate entity extraction quality against labeled reference sets.
• Develop and maintain Jupyter notebook-based model exploration and reporting artifacts for use in EPLC deliverables, sprint reviews, and government demonstrations.
• Support UiPath Maestro agent integration testing: prepare model inference payloads, validate agent input/output schemas, and assist with integration testing between ML model inference APIs and the persona-based agent layer.
• Implement and maintain data pipeline scripts (Python/Pandas/NumPy) for batch data ingestion, feature store updates, and model scoring batch runs within the IRMS security boundary.
• Follow and enforce IRMS boundary data handling procedures: ensure no PII/PHI is processed outside approved environments; maintain developer/test environment segregation per HHS security policy.
• Produce supporting artifacts for EPLC deliverables: training data specifications, model evaluation appendices, data dictionary updates, and sprint retrospective documentation as directed by the PM and AI/ML Lead.
• Participate in code reviews; adhere to OWASP secure coding standards, NIST SP 800-160 engineering principles, and Node’s internal CI/CD quality gates.

Junior AI/ML Engineer

Systems Engineer

• Own O&M for servers, storage, backup, databases, virtualization, and middleware; ensure operational acceptance with As-Built/VDD/Runbooks.
• Lead patching, image baselines, remediation, and hardening for Windows, Red Hat/CentOS, and Solaris.
• Manage VMware vSphere, Microsoft Hyper-V, Citrix/VDI, FlexPod, NetApp, and enterprise backup.
• Run CI/CD-enabled hosting using Jenkins, Harness, Git, and Sonatype; operate OpenShift, Docker, Kubernetes, and UiPath.
• Deliver bi-weekly health checks and monthly metrics. Meet SLAs/AQLs and produce capacity/incident reports.
• Champion automation and ServiceNow ITSM/ITOM integration; maintain CMDB accuracy.
• Lead collaboration with customers and partners to break down silos and drive automation adoption across Engineering, Security, and the TOC.

Hosting Lead – Senior Task Lead, Systems Engineer

Customer Success Manager

• Own USCIS Configuration Change & Release Management (CCRM) and CMDB for infrastructure/UC services.
• Run change governance, ISR processing, and release readiness; modernize with automation (IaC/PaC), CI/CD, and AIOps to increase speed, compliance, and stability.
• Lead enterprise change governance using ServiceNow ITSM/ITOM/ITBM; require Implementation & Communication Plans and complete VDD/As‑Built/SOPs.
• Lead evolution and maintain digital CMDB and asset baselines/relationships; enforce documentation standards (EIDOCS) and deliver audit/KPI reports.
• Lead evolution of intake/review/assignment (ISR) workflow meeting AQL timeliness; manage change calendar and communications.
• Integrate change/config with automation and DevSecOps—standardized IaC, automated testing, and policy‑as‑code guardrails.
• Establish AIOps‑enabled monitoring of change impacts (blast radius/MTTx), predictive alerting, and self‑healing runbooks; continuous improvement.
• Gate releases for SLA/AQL compliance and lead PIRs/AARs and knowledge article curation.

Change Configuration Infrastructure Management Team Lead – ITIL, CCRM, CMDB

Program Manager

• Lead enterprise UC O&M: telephony/voicemail, Cisco/Poly VTC, WebEx, streaming/portal/VOD, digital signage, eFax, and UC for call centers.
• Architect, implement, and upgrade Cisco UC core (CUCM, Expressway, CMS, CMM, TMS, UCCX) and Poly platforms (DMA, RMX, Resource Manager).
• Oversee Cisco/vBrick streaming and ConnectedSign signage; guide migration strategy (increasing Cisco usage).
• Ensure QoS delivery: DSCP/NetFlow, jitter/latency monitoring (SolarWinds/StealthWatch); manage SIP/PRI/H.323/URI and survivable gateways.
• Coordinate regional field engineering for deployments, site surveys, and tickets via ServiceNow; provide monthly/on‑demand reporting.
• Maintain documentation (standards, build guides, runbooks), configuration/inventory, and security accreditation support.
• Collaborate closely with client stakeholders and partners such as Engineering, Security, Architecture,Network and ITFS
• Evaluate UC technologies to help the government make best value acquisitions to support the UC Enterprise
• Ensure UIUX across the UC enterprise providing consistent simple user experience.

Unified Communications Lead – Senior Program Manager, Team Lead

Software Engineer

• Design, develop, and enhance MetaVance application components across Claims, Benefits, and Pricing areas.
• Build and maintain application code using CA:GEN and related development tools.
• Perform technical analysis and produce process and technical specifications.
• Support MetaVance online and batch processing functionality.
• Conduct data analysis within the MetaVance data structure using Oracle SQL tools and MetaVance configuration tools.
• Maintain and enhance MetaVance BSI components.
• Collaborate with business stakeholders and present solution impacts and enhancement recommendations.
• Ensure solutions align with healthcare claims business requirements and technical standards.

Technical Developer – CA:GEN, Healthcare Claims

Robotics

• Support the RPA team in the implementation of best practices for RPA development
• Technical design and development of process automation
• Monitoring and support of operational robots
• Work with customers to help automate their manual processes
• Other technology and organizational duties as assigned

Senior RPA UIPath Developer

• The AI/ML Engineer is the architect and guardian of intelligent automation solutions incorporating generative AI and machine learning technologies.
• Ensures operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
• Responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation.
• Focus on building generative AI applications with embedded artificial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.