Vetted Dashboarding Professionals

“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”

“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”

“Data engineer with experience at Moderna and Block owning high-volume (≈10TB/day) production pipelines on AWS, using Kafka/S3/Glue/dbt/Snowflake with strong data quality and observability practices (schema validation, anomaly detection, CloudWatch monitoring). Also built external financial API ingestion with Airflow retries, throttling/token rotation, and schema versioning, and helped stand up an early-stage biomedical data platform with CI/CD and incident debugging.”

Carlee Schiller

Screened

VP Human Resources Business Partner specializing in regulated financial services

Jersey City, NJ10y exp

“HR Business Partner with 8 years supporting a Jersey City office while working closely with distributed teams. Early in career built Excel-based HR analytics dashboards (headcount/turnover/diversity) and ER tracking that became foundational to establishing an HR Data & Analytics function. Experienced partnering with senior leaders and legal on sensitive restructurings/RIFs, including risk analysis, separation planning, and manager coaching.”

“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”

Devika gade

Screened

Mid-level Full-Stack Developer specializing in FinTech and cloud-native applications

Remote, USA4y exp

“Full stack developer with strong implementation ownership across cloud deployments, integrations, and AI-powered support automation. They have put LLM/RAG workflows into production with measurable impact—cutting first response time by nearly 40%—and show unusual depth in debugging non-deterministic AI incidents, improving observability, and turning messy document inputs into reliable API-driven pipelines.”

“LLM engineer who has deployed privacy-preserving, real-time workplace risk monitoring over massive enterprise chat/email streams, tackling latency, hallucinations, and extreme class imbalance with model benchmarking, RAG + fine-tuning, and a pre-filter alerting layer. Also built an agentic legal contract drafting system (Jurisagent) using LangGraph/LangChain with deterministic multi-agent control flow, structured outputs, and reliability-focused evaluation/telemetry.”

“Backend-focused software engineer (4+ years) across e-commerce, banking, and healthcare who owned mission-critical checkout/order management end-to-end and improved peak-traffic success rates via resiliency patterns (timeouts/retries/caching) and data-driven iteration. Also built and shipped real-time operational dashboards (React/TypeScript + Spring Boot) using WebSockets and event-stream integrations, with strong experience in Kafka/RabbitMQ-style messaging at scale.”

Azra Jiwa

Screened

Senior People Operations Manager specializing in HRIS, compliance, and global mobility

New York, NY7y exp

“People/HR leader focused on scalable org systems—rebuilt performance, leveling, and compensation structures during a growth phase using CultureAmp and Workday data plus manager listening sessions. Known for systems-thinking diagnostics and leader coaching (e.g., delegation/decision-rights mapping freeing 8–10 hours/week), and for using people analytics to reduce attrition via onboarding and manager enablement.”

“Compensation and payroll professional with hands-on experience owning U.S. payroll validation, reconciliation, and exception management, plus supporting compensation cycles across base pay, bonuses, and incentives. Stands out for building Excel-based audit and validation tools, resolving HRIS/payroll/finance data mismatches, and strengthening controls to improve payroll accuracy and compensation consistency.”

“Built and owned end-to-end production systems for a healthcare platform, including a predictive task recommendation feature (React + FastAPI + ML on AWS ECS) that cut backlog 20% and saved coordinators ~10 hours/week. Also productionized an AI-native RAG system (vector DB + LLM) delivering 40% faster query resolution, and led phased modernization of a monolithic FastAPI service into async microservices using feature flags and canary releases.”

“Strategy & operations leader with senior roles at OnDeck, BlockFi, and Protocol Labs who owned founder-level initiatives end-to-end. Notably launched the first crypto credit card, driving 150k first-year sign-ups (vs 30k target) and boosting adoption of other offerings, and later cut time-to-hire from ~6 months to ~6 weeks while rebuilding GTM and operating frameworks.”

“AI engineer with production experience building a high-accuracy (98%) fraud detection system operating at real-time latency (1–2s) over millions of transactions, using a multi-model pipeline approach to meet performance constraints. Also implemented Airflow-orchestrated workflows (DAGs, retries, alerts) to replace brittle cron scripts and is currently pursuing a master’s project on real-time ASL-to-text conversion.”