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Vetted Prometheus Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in cloud-native microservices and modern web apps
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Junior Software Engineer specializing in C++ systems and cloud-native platforms
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
Sneha Sridhar
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”