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Vetted Pinecone Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Principal/Staff Engineer specializing in platform architecture, AI/ML, and distributed systems
Eddy Sadat
Senior Full-Stack Engineer specializing in SaaS, Healthcare IT, and FinTech
“Engineer with startup experience spanning fintech and B2B SaaS, from Playd during rapid growth to Clarity’s AI-powered contract review platform. Particularly strong in React/TypeScript product development for complex, data-heavy workflows used by accountants and finance teams, with supporting experience in Node, Postgres, AWS, and production database design.”
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Sahil Bansal
Mid-level Backend & ML Engineer specializing in LLM systems and scalable AI pipelines
“Built and shipped a real-time AI phone agent for small businesses that handles bookings/FAQs/messages using streaming ASR, an LLM with tool-calling, and TTS; deployed to production for multiple paying customers. Demonstrates strong applied LLM reliability practices (tool-first grounding, retrieval, hard-negative testing, and production monitoring) and experience orchestrating multi-step AI workflows with Airflow, Prefect, and AWS Step Functions.”
Pankaj Goyal
Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms
“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”
Senior Software Engineer specializing in AI orchestration and backend systems
Intern Software Engineer specializing in full-stack web and AWS workflow systems
Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
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 Software Engineer specializing in AI/ML tooling and data platforms