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Vetted LlamaIndex Professionals
Pre-screened and vetted.
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Staff Software Engineer specializing in FinTech and distributed systems
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
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.”
Senior AI Full-Stack Engineer specializing in GenAI, RAG, and scalable ML systems
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Junior Quantum/AI Research Engineer specializing in quantum simulation and LLM alignment
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
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 Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation 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.”
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI