.png){kind=logo}
Vetted Machine Learning Engineers in California
Pre-screened and vetted in California.
Sourabh G
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Esha Pahwa
Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning
“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”
Jani Mohammed
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
UnnSeo Park
Junior Machine Learning Engineer specializing in fraud detection and healthcare ML
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
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).”
Jason Wright
Senior AI Full-Stack Engineer specializing in GenAI, RAG, and scalable ML systems
SUMANTH REDDY
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Sravan Sama
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Rohanth Gundu
Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps
Vibha Kumar
Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps
Zubair M
Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps
Sai Sathvik Yadlapalli
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Shashanka Oruganti
Mid-level AI/ML Engineer specializing in LLMs, multilingual NLP, and low-latency MLOps
Nitesh Vemanapalli
Senior AI/ML Engineer specializing in LLM agents, RAG, and production ML systems
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Sahil Bansal
Mid-level Backend & ML Engineer specializing in LLM systems and scalable AI pipelines
“Built and shipped a real-time AI phone agent for small businesses that handles bookings/FAQs/messages using streaming ASR, an LLM with tool-calling, and TTS; deployed to production for multiple paying customers. Demonstrates strong applied LLM reliability practices (tool-first grounding, retrieval, hard-negative testing, and production monitoring) and experience orchestrating multi-step AI workflows with Airflow, Prefect, and AWS Step Functions.”
Mohammed Raza Syed
Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps
Jayanth Tummalapenta
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Chaitanya Battula
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Vinya Kumar
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Rohanth Gundu
Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps
Zikai Liu
Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines