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Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native distributed systems
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Senior Management Consultant specializing in financial services capital markets
Intern Software Engineer specializing in systems programming and game development
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Staff Salesforce Engineer specializing in enterprise CRM and integrations
Senior Technical Artist specializing in XR, game engines, and generative/agentic AI
Rubeena Riyas
Senior AI Engineer specializing in LLM agents, RAG, and scalable data platforms
“ML/data engineer who owned an end-to-end production sales analytics pipeline at 15,000+ user scale, delivering ~50% compute reduction, ~80% faster reporting, and ~$1.2M impact. Also shipped a production RAG-based AI assistant over internal BigQuery/docs with evaluation metrics and safety guardrails, and built shared Python libraries to standardize reliability and accelerate engineering teams.”
Sean Keppler
Principal Space Systems Engineer specializing in spacecraft and payload architecture
“Previously supported capital raising at Space Ocean Corp by securing several thousand dollars in grant funding and building investor-readiness/outreach materials. Has early exposure to VC/studio/accelerator meetings and articulates nuanced differences in their incentives and time horizons. Interested in refining skills as an early-stage CTO and is highly committed to entrepreneurship.”
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”