Vetted Dashboard Development Professionals

“Sole founder of Bazaaro who built the company’s operations across product, hiring, GTM, finance, and investor relations—securing initial investment by effectively spanning multiple functions. Also drove a high-stakes operational turnaround at Ciena by process-mapping end-to-end workflows, correcting cost mis-modeling, and building Excel dashboards to recover $60K+ while improving margin visibility.”

“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”

“Growth/performance creative lead with experience running high-velocity multivariate creative testing for an AI SaaS product at HTN Corporation across Meta, LinkedIn, TikTok, and YouTube. Built a modular creative system (Canva/Figma) plus automated Notion/Zapier performance tracking to ship 10–15 variants/week, cutting production time ~40% while improving outcomes (33% lower CPA, 2.6× ROAS).”

“AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.”

“US Talent Acquisition/Recruiting Ops leader at Funbox (nearly 5 years) who owns end-to-end recruiting operations and ATS strategy, and who successfully pivoted into HR Ops during a 2022 slowdown (payroll, compliance, policies, reporting). Known for building operational rigor at scale—redesigned req approval/1:1 req-to-hire workflows, led Greenhouse→HiBob hiring module implementation in ~4 months, and executed a major hiring blitz (35→75 reqs; ~90% closed; 100+ referrals) across functions including engineering, product, sales, marketing, and frontline support.”

“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”

“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”

“ML/NLP engineer with recent Scotiabank experience building production-grade indexing automation over large-scale emails and customer databases, combining LLM fine-tuning (Mistral, XLM-R) with fuzzy matching to exceed 95% accuracy under strict banking constraints. Also built a RAG-based chat agent using Gecko embeddings, Vertex AI Search, Gemini, and cross-encoder reranking, and delivered a text-to-SQL chatbot at SOTI through iterative fine-tuning and benchmark-driven experimentation.”

“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”

“Backend engineer focused on Node.js (Express/Fastify) and MongoDB who designed a multi-stage bill-approval workflow system for a manufacturing company, emphasizing RBAC, auditability, and scalability across multiple factory units. Also improved system robustness by catching a MongoDB connection leak in an Excise department project and has experience executing low-risk, incremental backend refactors with monitoring and rollback.”

“Growth and partnerships professional with experience across fintech (SMB loans) and edtech (ByteLearn), combining SEO-led content ecosystems and performance marketing experimentation with rigorous lead-quality verification. Has closed white-label partnerships in the dental industry and built creator/referral incentive programs, consistently tying initiatives to funnel metrics like leads, MQL/SQL, activations, LTV, and ROAS.”

“GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.”

“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”

“Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.”

“Lifecycle/CRM marketer with 14 years of cross-functional experience, leveraging SQL-driven segmentation and structured A/B/multivariate testing to optimize engagement and conversions. Has led coordinated national/regional launches for a hardware product and tracks impact through CRM campaign codes tied to closed sales.”

“Recruiting leader with 4+ years of people management experience, leading a team of 8 direct-report recruiters and staying hands-on in high-impact executive searches (including senior engineering leadership). Strong HRBP and executive stakeholder partner who uses KPI-driven reviews, structured interviewing, and dashboards to improve quality and cut hiring timelines ~20–25%, while also reducing agency reliance through source-mix and cost-impact analysis.”

“Operations-focused team lead currently managing 20 coordinators, with strong workforce management experience spanning forecasting, scheduling, KPI/staffing reporting, and executive-facing data presentations. Led a cross-functional Salesforce implementation and redesigned forecasting/workflow to support a newly created internal-promotion department, improving flexibility in coverage planning.”

“Chief of Staff with experience driving cross-functional execution and executive alignment, including in real estate development environments with shifting timelines. Implements PM tooling (Notion/Monday.com) plus KPI/OKR systems to improve clarity, accountability, and executive productivity, and has experience mediating priority conflicts between functions like marketing and operations.”

“Built production LLM + hybrid RAG and multi-agent orchestration systems at Wells Fargo to automate complaint document/audio transcript understanding and categorization, addressing vocabulary drift via embedding + vector index updates instead of frequent retraining. Strong in LLM workflow reliability (testing/benchmarks/observability) and stakeholder-facing delivery with explainability (citations/SHAP-style justifications) and Tableau dashboards.”

“Senior data scientist with ~5 years’ experience building production ML/NLP systems in finance (Wells Fargo) and deep learning for sensor analytics in connected vehicles (Medtronic). Has delivered end-to-end platforms combining time-series forecasting with transformer-based NLP, including automated drift monitoring/retraining (MLflow + Airflow) and standardized Docker/CI/CD deployments; achieved a reported 22% precision improvement after domain fine-tuning.”

“ML/NLP engineer with experience at Charles Schwab building an NLP + graph (Neo4j) entity-resolution system to unify fragmented user/device/transaction data and improve downstream model quality and analyst querying. Has applied embeddings (SentenceTransformers + FAISS) with domain fine-tuning to boost hard-case matching recall by ~12% while maintaining precision, and has a track record of hardening scalable Python/Spark pipelines and productionizing fraud models via A/B tests and shadow-mode monitoring.”

“Former co-founder at PreConception (acquired) who partnered closely with Operations, Legal, and Medical teams to deliver a HIPAA-compliant product meeting technical and regulatory requirements. Motivated by mission and team fit, and interested in a Venture Studio CTO path with a focus on 0-to-1 building and early validation via beta testing/PMF.”

“Enterprise Customer Success professional (Iron Mountain Services) who owns accounts end-to-end from onboarding through renewal, with a strong focus on driving adoption via success plans, stakeholder alignment, and integration unblocking across Product/Engineering/Sales. Also has adjacent martech/analytics exposure (Google Analytics, Search Console, SEO audit tools) and experience translating customer feedback and usage data into roadmap-impacting product requirements.”