Vetted Problem Solving Professionals

“HRBP/Employee Relations professional with Accenture and Clyde & Co experience, combining strong people analytics with risk-focused change management. Notably coded and analyzed four years of exit interview data to drive targeted retention and compensation actions across offices, and partnered with North America HR/Finance leadership on shared-services transition planning involving protected-class risk analysis.”

“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”

“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”

“Operations/people-ops leader focused on early-stage, growth, and turnaround environments, with hands-on experience implementing UKG (HRIS) and Lever (ATS) to scale without adding headcount. At Niagen Bioscience, drove a 25% improvement in time-to-fill and cut administrative workload by 30% in 6 months, led a company-wide optimization initiative to reduce silos, and coached a VP of Finance into a successful CFO transition that included restructuring the finance org and upgrading key talent.”

“Senior gameplay animator with shipped AAA experience on Just Cause 4 (cinematics) and deep UE5 implementation experience—often operating as one of the only animators on a project. Led multiple combat-style animation sets, owned mocap cleanup/polish workflows across Maya/MotionBuilder and UE5, and partnered with engineering/tech animation on systems like AI-driven talking characters (viseme setup).”

“Operations/manufacturing leader who owned post-acquisition integration end-to-end, including site consolidation, technical transfer, and business systems alignment—delivering a 15-month multimillion-dollar program on time and 10% under budget. Experienced scaling a company from ~30 people to ~10x growth and driving public-company operational readiness; partnered with the CAO and external auditors to improve controls and remove quarterly shutdowns, increasing manufacturing capacity ~10% without added headcount.”

“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”

“Growth creative lead at Amazon who ran structured, incrementality-informed A/B tests for Prime acquisition on Amazon DSP. Produced a winning benefit-led video + social-proof framework that improved CTR/CVR while cutting CPA (-24%) and increasing ROAS (+32%), then scaled the approach across email and onsite placements for an additional 10–12% lift in Prime sign-ups.”

“Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.”

“Asset Management Risk professional at Fidelity Investments who built and productionized an agentic RAG platform enabling compliance and analysts to query 10,000+ fund documents with cited answers in seconds. Implemented structure-aware semantic chunking (AWS Textract), hierarchical retrieval, and hybrid search to raise accuracy from 68% to 94%, and built an evaluation framework tracking accuracy/latency/cost/hallucinations—delivering 40+ hours/month saved and zero critical production failures.”