FNU ADHARSH
Colorado Springs,CO
Summary
Senior AI platform engineer with over 15 years in building production software and distributed systems. Expertise includes Agentic AI, Model Context Protocol, and hybrid search, with a focus on converting complex projects into actionable outcomes while ensuring reliability and efficiency.
Overview
20
20
years of professional experience
Work History
Lead AI / Platform Engineer
Salesforce
Denver, CO
02.2026 - Current
- Agentforce Registry - MCP Referential Integrity (Salesforce Core) | Feb 2026 - Present
- MCP enables Salesforce AI agents to invoke tools hosted on external servers. Referential Integrity detects when registered tool definitions drift from their live source and warns admins before agents invoke stale, missing, or unreachable tools.
- Led the MCP Referential Integrity initiative end to end, owning drift detection from backend health tracking through Agent Builder surfaces that alert administrators when registered tools no longer match external sources.
- Developed four shippable user stories from a 13-point epic - tool-health badge, reconcile-on-add, builder drift banner, and activation-time validation - ensuring alignment with services, data entities, and UI components.
- Reverse-engineered undocumented relationships across function, operation, and external-service-registration records using production data; proved the design could reuse an existing stable identifier and eliminated a proposed schema change.
- Audited end-to-end detect-and-persist path, validated production readiness of core drift substrate, and identified two critical gaps: a freshness-guard specification mismatch and an unwired guard service.
- Shipped server-level de-duplication for MCP drift notifications with unit-test coverage, collapsing redundant per-tool alerts into one actionable notification per external server.
- Designed the detection pipeline: remote tool discovery, registered-tool correlation, SHA-256 definition fingerprinting, drift classification (new, healthy, modified, deleted, unreachable), and health-state persistence.
- Created comprehensive MCP registration test strategy encompassing all workflow phases across eight stages, from authentication and discovery to parsing, persistence, activation, agent integration, and planner configuration.
Lead AI / Platform Engineer
Salesforce
Denver, CO
08.2024 - 02.2026
- Self-Learning Knowledge (SLK) AI Platform | Aug 2024 - Feb 2026
- Designed a production RAG architecture connecting clustered service interactions and Knowledge Articles to surface knowledge gaps and improve enterprise semantic retrieval.
- Built vector embedding and chunking pipelines for long-form case summaries exceeding 4,000 characters; evaluated multilingual E5-Large and MiniLM approaches for retrieval quality and operational fit.
- Executed controlled hybrid-search experiments using 70/30, 80/20, and 95/5 vector-to-keyword weightings; applied semantic gating and reranking strategies to reduce keyword misfires and false positives.
- Created a Knowledge Coverage Score engine using multi-stage LLM relevance evaluation, integrating retrieval signals with structured judging to assess support for service topics by usable knowledge.
- Engineered a topic-discovery pipeline with UMAP and HDBSCAN; introduced distance-from-center scoring to prioritize fragmented or under-covered service themes.
- Designed asynchronous orchestration for incremental ingestion, indexing, clustering, summarization, and scoring, including six-hour processing and weekly clustering workflows for scalable operation.
- Modeled Data Cloud processing cost and scale across approximately 5,200, 10,000, and 100,000 Knowledge Article scenarios; partnered with Data Cloud, CXI, product, and architecture teams on GA-ready delivery.
Lead AI / Platform Engineer
Salesforce
Denver, CO
08.2020 - 08.2024
- Salesforce Core Platform Engineering | Aug 2020 - Aug 2024
- Led technical design, conducted code reviews, resolved production issues, mitigated risks, and mentored distributed teams; translated product requirements into maintainable service boundaries and data models, enhancing overall system architecture.
- Designed and delivered scalable Service Cloud capabilities with Java, Apex, Lightning Web Components, JavaScript, and REST integrations across Salesforce Core release branches.
- Developed and maintained delivery workflows using Jenkins, Git, Perforce, IntelliJ, and CoreCLI, enabling seamless integration, regression testing, and ensuring release readiness.
Salesforce Developer
Vlocity (Salesforce Industries)
San Francisco, CA
01.2014 - 08.2020
- Designed enterprise CPQ and CLM solutions using Integration Procedures, DataRaptors, OmniScripts, Apex, Lightning, and AngularJS, modeling complex business processes and customer-specific data relationships to enhance system functionality.
- Built REST/SOAP integrations, partner portals, and customer communities, creating reusable interfaces between Vlocity product and client implementations to streamline deployment.
- Led offshore resources and managed technical risk while preparing detailed solution designs and implementing continuous integration with Jenkins and Git to ensure project alignment and quality.
Earlier Software Engineering Roles
LinkedIn, Sunrun, NetJets, and Wipro
01.2007 - 01.2014
- Built distributed enterprise and web applications using Java/J2EE, Spring MVC, RESTful services, SQL, JavaScript, and Salesforce technologies, enhancing functionality across the full software development lifecycle.
- Developed Apex triggers, integrations, community portals, and data workflows, automating deployments for customer-facing and internal platforms, improving system reliability.
- Completed day-to-day duties accurately and efficiently.
- Contributed innovative ideas and solutions to enhance team performance and outcomes.
- Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.
Education
Bachelor of Engineering (B.E.) - Electronics and Communication Engineering
Skills
- MCP
- Agentic AI
- RAG architecture
- Hybrid retrieval
- Vector embeddings
- Semantic gating
- Reranking
- Evaluation methods
- Relevance metrics
- HDBSCAN
- UMAP
- Distance-based scoring
- Incremental processing
- ML pipelines
- Platform services
- Async job orchestration
- REST/SOAP APIs
- Diagnostics and health tracking
- Python
- Java
- Apex
- JavaScript
- SQL/SOQL
- Shell scripting
- Salesforce Data Cloud
- Vector indexing
- ETL pipelines
- E5-Large
- MiniLM
- Enterprise data modeling
- Git
- Perforce
- Jenkins CI/CD
- Test automation
- Code review
- Linux
- Cloud architecture
- Microservices architecture
- API design
- API management
- Service orchestration
- Distributed systems
- System troubleshooting
- Continuous integration
- Agile development
- Data modeling
- Technical mentoring
- Project management
- Cross-functional collaboration
- Analytical thinking
- Technical writing
- Diagnostics
- Tool integration
- Diagnostics
- Tool integration
Timeline
Lead AI / Platform Engineer
Salesforce
02.2026 - Current
Lead AI / Platform Engineer
Salesforce
08.2024 - 02.2026
Lead AI / Platform Engineer
Salesforce
08.2020 - 08.2024
Salesforce Developer
Vlocity (Salesforce Industries)
01.2014 - 08.2020
Earlier Software Engineering Roles
LinkedIn, Sunrun, NetJets, and Wipro
01.2007 - 01.2014