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Vetted Machine Learning Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Senior Machine Learning Engineer specializing in NLP, Generative AI, and healthcare/legal AI
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
Executive CTO/CPO and Product & Technology Leader specializing in Healthcare SaaS and AI/ML
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Junior Software Development Engineer specializing in AWS backend and distributed systems
Senior Business Analyst specializing in small business lending and portfolio risk
Senior Software Engineer specializing in data platforms and FinTech/SaaS systems
Executive product leader specializing in AI, automotive, and frontier technologies
Director-level transformation leader specializing in AI operations, PMO, and ERP programs
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Executive Product & Technology Leader specializing in AI and healthcare platforms
Executive CIO/CISO specializing in enterprise technology, cloud, data governance & cybersecurity
Susan Njenga
Executive product leader specializing in enterprise healthcare SaaS
“Product leader at Nexleaf Analytics who drove a major platform evolution from a vaccine refrigerator temperature-monitoring product into a broader health equipment management system used for cold chain, solar, oxygen, and other assets. Brings a rare mix of digital health, public-sector stakeholder management, UX transformation, and practical AI product experience, including a RAG-based support chatbot designed for technicians and healthcare workers in remote settings.”
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Longyang Xu
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Yoga Sathyanarayanan
Junior Software Engineer specializing in backend, distributed systems, and AI infrastructure
“Full-stack engineer with hands-on experience spanning real-time AI products, large-scale payments migration, internal research infrastructure, and open-source ML tooling. Particularly compelling is the mix of low-latency React/Node/TypeScript systems work, zero-downtime migration of 50,000 accounts across 12 regions, and proactive contributions to Kubeflow build and security reliability.”