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Vetted MLOps Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in Python backend and applied AI platforms
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Software Engineer specializing in distributed systems and cloud platforms
Software Development Manager specializing in multimodal visual search and AI platforms
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior AI/ML Engineer specializing in Generative AI and cloud-native platforms
Senior Applied AI Engineer specializing in enterprise AI and ML platforms
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Mid-level Data Scientist specializing in Generative AI and LLM applications
Principal Data Scientist specializing in Generative AI and security analytics
Senior Software Engineer specializing in AI platforms, data systems, and full-stack development
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security
Saleem Sultan
Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation
“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Arijit Das
Executive engineering leader specializing in AI, cloud, and FinTech transformation
“Fintech operator at Upstart with hands-on experience in lending underwriting and verification automations, now developing a fully automated HELOC product aimed at reducing funding timelines from 30-45 days to 5 days. Brings strong market conviction in the HELOC space and has already spoken with fintech investors interested in a white-label solution for banks and credit unions.”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”