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Vetted Looker Professionals
Pre-screened and vetted.
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Max Zhu
Staff Software Engineer specializing in Cloud Healthcare Data Platforms
“Backend/data engineer with deep healthcare data experience (FHIR, de-identification) across both GCP and AWS. Has built and operated production microservices and ETL pipelines (FastAPI, Dataflow, Glue) with strong reliability practices, and led modernization of a legacy SAS compliance reporting system to cloud services with validated parity and stakeholder-facing Looker comparisons.”
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Staff Data Scientist specializing in machine learning, deep learning, and big data
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Adam Yankelevits
Senior investment and operations professional specializing in early-stage FinTech and PropTech
“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Executive Product & Growth Leader specializing in identity verification, privacy, and GTM
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.”
Executive Technology & Data Leader specializing in AI, cloud modernization, and digital strategy
Mid-level AI/ML Engineer specializing in LLMs, NLP, and MLOps
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search
Ashwani Sharma
Director-level Customer Success & GTM leader specializing in Cloud, AI, and Enterprise SaaS
“Commercial/GTN leader with GCP experience managing multi-year, multi-megawatt AI/GPU infrastructure commitments, owning segment P&L and governance for take-or-pay/reserved capacity. Drove a major client partnership scaling ARR from $50M to $100M in 18 months by aligning Product/Engineering, GTM, and infra teams and building flexible, margin-protective commercial structures. Known for speeding hyperscaler procurement/security reviews (FedRAMP/SOC2, IAM, data residency) and operationalizing multi-region delivery with landing zones and IaC.”
Ravikanth Kasamsetty
Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms
“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”
Dan Olson
Director-level Product Operations & Program Management leader in consumer electronics
“Operations leader with Apple and Roku experience who owned founder-level, cross-functional initiatives including Roku’s Brazil market entry (regulatory, tax/entity setup, manufacturing/logistics, and launch metrics) with direct CEO oversight. Built Roku’s International Business Operations function from zero—standardizing OKRs, dashboards, and country-level P&Ls—and influenced major strategic decisions like exiting a ~$10.5M-loss UK channel business and restructuring Mexico ads go-to-market via partnership.”