Vetted Dashboard Development Professionals

“ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).”

“Backend engineer who built Polyglot, a large-scale LLM code-translation benchmarking framework, orchestrating translation/compilation/testing with Pytest and storing traceable results for 100,000+ translations. Also built TestForge with FastAPI + LangChain/Ollama and scaled high-throughput evaluation using Celery + Redis, cutting processing time by over 50% through parallelism and batching.”

“Revenue/sales operations and GTM builder for early-stage startups who designs repeatable sales processes (CRM pipeline stages, MEDDPICC, Challenger Sales) and operating cadences (OKRs) to improve conversion and forecasting. Also mentors product/technical founders—e.g., through the Canadian Technology Accelerator—helping a fintech founder establish segmentation, metrics, and an outbound motion that produced early recurring revenue and investor readiness.”

“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”

“Recruiting Operations/Talent Ops leader who has managed both onshore and offshore recruiting teams and trained branch managers nationally on VMS tools. Known for redesigning ATS workflows and building recruiting dashboards to reduce time-to-hire in high-volume environments (including call center hiring), while improving candidate experience through scheduling and intake process standardization.”

“Full-stack engineer who built a live-streaming edtech platform at KratosIQ, owning the entire frontend and the backend streaming layer. Notably migrated the system from a P2P mesh to an SFU architecture to handle scaling under heavy load, and delivered measurable React performance gains (450ms to 40ms render time) validated via Lighthouse and web vitals.”

“Built and deployed a production, multi-tenant modular agentic AI platform at Easybee AI, using LangChain/LangGraph with Redis-backed durable state to make agents reusable, traceable, and auditable. Emphasizes reliability via strict tool schemas, deterministic controllers, tenant-level policy enforcement, and regression testing derived from real production failures; also delivered AI automation for legal/finance workflows (attorney draw and expense automation) with explainable, deterministic payouts.”

“Supply chain/materials professional with experience at EOS Energy driving a materials and inventory improvement initiative tied to production readiness for critical components. Focuses on data-driven risk identification (high-risk SKUs, shortages, lead-time delays), dashboard/ERP+Excel tracking, and cross-functional escalation processes to keep production schedules on track and improve supplier execution.”

“Gaming integrations specialist with experience shipping pre-built slot games (e.g., Push Gaming titles) to casinos, operators, and aggregators via API integrations. Handles end-to-end launch workflow including requirements gathering, compliance/jurisdictional constraints, staging-to-production deployments, and coordinating bilateral API testing and production monitoring for new market launches.”