Vetted Splunk Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

Eric Lane

Screened ReferencesStrong rec.

Executive Technology Architect specializing in IT/OT convergence and industrial cybersecurity

Ventura, CA29y exp

“Entrepreneurial technical leader with ~3 decades in R&D/startup environments and proprietary consulting across government and private industry. As Sr Electrical Controls Engineer/IT Director at V-Grid Energy Systems, redesigned gasification automation instrumentation by creating custom PCB multiplexing and ladder-logic drivers, avoiding an estimated ~$2M in CAPEX and reducing per-machine cost to under $200—positioning him well for CTO roles supporting scalable new ventures.”

“Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

Manas Agarwal

Screened

Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations

Superior, CO2y exp

“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”

Dylan Jaworski

Screened

Intern Software Engineer specializing in Python data pipelines and backend systems

Tallahassee, FL0y exp

“Software engineering intern at the Florida Department of Transportation who built validation/anomaly-detection logic for a live operational telemetry + system log processing pipeline. Emphasizes fault-tolerant, state-driven system design (degraded modes, data freshness tracking, safe fallbacks) and debugs time-sensitive behavior via logging/latency analysis and replay-based testing—skills that translate well to robotics-style architectures despite no direct ROS/robot experience.”

“Software engineer who builds workflow-centric products end-to-end, including a customer-facing module on the Trident AI content platform and an internal content workflow tool adopted as the default process. Strong in TypeScript/React + FastAPI architectures and in scaling event-driven microservices with RabbitMQ, emphasizing reliability (idempotency, DLQs) and observability (correlation IDs) to reduce outages and debugging time.”

“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”