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Vetted Power BI Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in full-stack web and data platforms
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Director of Product & Change Management specializing in enterprise risk and platform strategy
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Junior Data Analyst specializing in experimentation, data quality, and ML analytics
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Executive CEO and operating partner specializing in private equity turnarounds and industrial tech
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Zahara Kanji
Director-level HR People Partner specializing in tech org design, workforce analytics, and talent strategy
“People/HR leader partnering closely with CTO and senior engineering leadership on major org transformations, including decentralizing QA/IT Ops and establishing new performance/promotion guardrails. Built and scaled a Returnship program across a tech org (60+ conversions to FTE; +40% diversity hiring) and used people analytics to cut high-performer turnover from 18% to 5% while boosting internal promotions to 20%. Experienced in executive coaching, succession planning, and sensitive ER investigations in partnership with legal/ER.”
Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Angela Cherry
Executive Talent Acquisition & Culture Leader specializing in recruiting strategy and workforce analytics
“Talent Acquisition leader in professional services/consulting who has led national experienced hire and campus recruiting teams at scale (up to ~40 recruiters). Known for data-driven recruiting strategy—cut a campus school roster by ~60% based on ROI analysis, expanded virtual sourcing, and reduced spend—plus executive-facing workforce planning, talent model redesign, and interview process modernization (virtual, pre-recorded, psychometrics).”
Noman Nawaz
Senior PMO Consultant specializing in regulatory compliance and technology modernization
“PMO consultant with experience delivering regulatory and compliance-driven programs across financial services and government healthcare, including Citibank MRA remediation (Helios) and Ohio Department of Medicaid enterprise release management. Known for proactively consolidating fragmented project data into executive-ready reporting, driving cross-functional alignment, and operating with strong discretion in regulated environments.”
Tina Bai
Executive operator-founder specializing in GTM, revenue strategy, and AI-native commercial operations
“Operator with Deloitte consulting experience supporting PE/VC-backed portfolio companies and current experience inside a VC-funded Series C scale-up. Building a bootstrapped D2C women’s telehealth brand (Petty Pills) with two initial SKUs, deployed tech stack, and white-labeled clinical/compliance infrastructure, leveraging AI tooling to keep operations lean while focusing on full-time operator roles.”
Albert Eserjose
Senior strategy and operations consultant specializing in growth and supply chain transformation
“Operations-to-strategy candidate with a Cornell MBA background spanning FreshDirect logistics, Accenture/EY supply chain transformation, and commercial diligence at Altman Solon. Brings a rare mix of ground-level operating experience and transaction-oriented strategic analysis, including an inventory optimization initiative that cut carrying costs by 9% (~$11M).”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Shantha Kumari Rajendran
Director of Software specializing in AI-native full-stack and hardware software systems
“Engineering leader with a mix of large-scale platform experience at Microsoft and product/customer-facing work across GM, Panasonic, Acuity, and other environments. Stands out for combining people leadership with hands-on depth in accessibility, web performance at 120M+ MAU scale, and cross-functional delivery spanning enterprise permissions, e-commerce, AI, and automotive systems.”