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Vetted Prometheus Professionals
Pre-screened and vetted.
Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Ravikanth Kasamsetty
Executive engineering leader specializing in AI, data platforms, and cloud SaaS
“Senior engineering executive with a rare mix of VP-level people leadership and deep hands-on architecture across cloud-native and AI platforms. He led secure hybrid SaaS design at Promethium, built GenAI-powered analytics with LLMs/RAG, and translated customer needs into product wins including the largest deal in company history and a PLG motion that generated 100+ leads.”
Pavithra Kollu
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Backend/ML infrastructure engineer with experience at Perplexity and Meta building production evaluation, monitoring, and retrieval systems for AI search, autonomous agents, and LLM-powered workflows. Particularly strong in turning messy manual quality-review processes into reusable Python/FastAPI automation with measurable impact, including major gains in search relevance, latency, and grounded answer quality.”
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 Software Engineer specializing in cloud-native backend systems and FinTech
Senior Software Engineer specializing in ML, search, and AI-powered backend systems
Senior Full-Stack Engineer specializing in scalable web platforms and AI-driven products
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Staff Software Engineer specializing in FinTech platforms and distributed systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Senior Full-Stack Engineer specializing in cloud platforms, DevOps, and SRE
Senior Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Staff Platform Architect specializing in distributed systems and enterprise architecture
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms