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Vetted Pinecone Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Junior Full-Stack Developer specializing in AI integrations and LLM research
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Md Rifat Ullah
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation
Mid-level AI/ML Engineer specializing in LLMs and RAG systems
Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision