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Vetted Llama Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in FinTech and distributed systems
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior AI Full-Stack Engineer specializing in GenAI, RAG, and scalable ML systems
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Sai Chandra Bandi
Mid-level AI/ML Engineer specializing in Generative AI, LLM alignment, and RAG
“Built and productionized a real-time enterprise RAG pipeline to improve factual accuracy and reduce LLM hallucinations by grounding responses in constantly changing internal knowledge bases (policies, manuals, FAQs). Experienced in orchestrating end-to-end ML workflows (Airflow/Kubernetes), handling messy multi-format data with schema enforcement (Pydantic/Hydra), and maintaining freshness via streaming incremental embeddings plus batch refresh. Also delivers applied ML solutions with non-technical teams (marketing/CRM) for segmentation and personalized engagement.”
LEQUAN WANG
Intern Applied Scientist / ML Engineer specializing in NLP and conversational AI
“LLM/Conversational AI engineer who built a production multi-turn dialogue system using LoRA fine-tuning on LLaMA, cutting training compute/memory by 90%+ while maintaining low-latency inference via quantization and streaming generation. Experienced in orchestrating end-to-end ML workflows with Prefect/Airflow/Kubeflow (including hyperparameter sweeps and W&B tracking) and improving agent reliability through benchmark-driven testing, shadow-mode rollouts, and stakeholder-informed guardrails.”
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.”
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Data Scientist specializing in Generative AI and LLM evaluation
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems