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Vetted Data Scientists in the Los Angeles Metro
Pre-screened and vetted in the Los Angeles Metro.
Staff-level Data Scientist specializing in LLMs, NLP, and product experimentation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior Machine Learning Engineer specializing in AI platforms and backend systems
Vivek Reddy
Mid-level Data Scientist/Data Engineer specializing in ML pipelines, insurance and healthcare analytics
“Built a production assistive-vision iPhone app to help visually impaired users find grocery items, training a custom YOLO detector on 2,000+ self-collected/annotated images and deploying via CoreML with a cloud multimodal LLM for navigation instructions. Brings hands-on AWS serverless + ECS container deployment (CDK/GitHub Actions) and a disciplined approach to AI workflow reliability (state-machine design, offline evals, stress tests, logging/metrics), plus experience communicating model insights to non-technical stakeholders (MOTER Technologies).”
Mid-Level Software Engineer specializing in ML platforms and full-stack systems
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Mid-level Data Scientist specializing in ML, experimentation, and LLM applications
Mid-level AI/ML Developer specializing in LLMs, RAG, and data pipelines
Srinivas Tenneti
Mid-level AI/ML Engineer specializing in GenAI and predictive modeling
“Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.”
Mid-level Data Scientist specializing in forecasting, edge AI, and generative NLP
Vasanthi N.
Senior AI/ML Engineer and Data Scientist specializing in Generative AI and MLOps
“ML/NLP practitioner focused on financial-services document intelligence and compliance workflows—built an end-to-end pipeline to classify documents and extract financial entities from loan applications, emails, and statements stored in S3/internal databases. Strong in entity resolution/record linkage and in productionizing pipelines with GitHub Actions CI/CD, testing, data validation, and Docker, plus semantic search using OpenAI embeddings and a vector database.”
Mid-Level Software Engineer specializing in Data, ML, and LLM systems
Mid-level Applied Machine Learning Engineer specializing in multimodal healthcare AI
Rakesh Deshalli Ravi
Mid-level Data Science & AI Engineer specializing in LLMs and cloud ML platforms
“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”
Yashi Agarwal
Mid-level Machine Learning Engineer specializing in NLP, Generative AI, and RAG systems
“Built and deployed a production LLM-powered phone assistant for a healthcare clinic, combining streaming STT/TTS with RAG over approved clinic documents and strict safety guardrails to prevent unverified medical advice, plus seamless human handoff. Also has hands-on Apache Airflow experience building robust daily ML/data pipelines with data validation, retries/timeouts, monitoring, and metric-gated model deployment, and iterates closely with clinic staff using real call reviews.”
Senior AI/ML Engineer specializing in Generative AI, LLMs, and RAG systems