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Vetted Looker Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Executive Operations & Strategy Leader in Marketplaces and Digital Advertising
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
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.”
Mid-level Product Manager specializing in growth, monetization, and enterprise SaaS
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Neeraj Sadarjoshi
Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling
“Ops/strategy leader with 10+ years in analytics, operations, and strategy (MBA) who has launched and scaled on-demand/express delivery capabilities in large retail ecosystems. Led complex, cross-functional initiatives including a 30-minute white-label delivery pilot for an automotive parts client and express delivery expansion for Sam’s Club across 800+ locations, with strong emphasis on driver supply, incentives, and on-time performance.”
James Conroy
Director of Private Capital Markets specializing in private secondary liquidity transactions
“Private-capital/ECM professional (CFA charterholder) who moved into Carta’s private capital space and built data-driven reporting and pipeline systems. Led a cross-functional effort to productize an internal tender offer seller model into a self-serve report to scale capacity and support GTM, while maintaining executive alignment and rigorous discretion with sensitive financial data.”
Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Senior strategy and operations leader specializing in FinTech, media, and investment strategy
Executive technology leader specializing in digital transformation, payments, and AI
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Gowri Kajipuram
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning
“ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.”
Rajan Souda
Mid-level AI Engineer specializing in Generative AI and MLOps
“Built and deployed a production LLM-powered clinical support assistant at BJC HealthCare (RAG + transformer) to answer patient questions, summarize clinical notes, and support appointment workflows. Implemented PHI-safe data pipelines (Spark/Hadoop/Kafka) with automated scrubbing, dataset versioning, and audit logs, and runs the system on Docker/Kubernetes with Pinecone vector search while partnering closely with clinical operations staff.”