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Vetted Generative AI Engineers
Pre-screened and vetted.
Gayatri Devi Dasari
Mid-level GenAI/ML Engineer specializing in LLM systems and RAG chatbots
“Built and shipped a production agentic LLM analytics platform that lets non-SQL business users query relational databases in plain English via a RAG + LangChain/LangGraph workflow and FastAPI service. Emphasizes safety and reliability with guardrails (validation/access control), testing/evaluation frameworks, and performance optimization (caching, monitoring, Dockerized scalable deployment), reducing dependency on data teams and speeding analytics turnaround.”
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Mid-level AI/ML & Generative AI Engineer specializing in LLMs and MLOps
Mid-level AI Engineer specializing in LLM apps, RAG pipelines, and agentic workflows
Mid-level Generative AI Engineer specializing in agentic systems and LLM platforms
Junior Machine Learning Engineer specializing in LLMs, Generative AI, and Computer Vision
Senior Data Scientist / GenAI Engineer specializing in RAG, NLP, and MLOps
Mid-level Data Scientist/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Generative AI Engineer specializing in agentic AI and RAG systems
Mid-level Generative AI Developer specializing in secure RAG and data engineering
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Mid-level AI/ML Engineer specializing in Generative AI and LLM applications
Mid-level AI/ML Engineer specializing in Generative AI, healthcare, and FinTech
Mid-level Software Engineer specializing in Generative AI and ML platforms
Mid-level GenAI/MLOps Engineer specializing in banking and healthcare LLM applications
Atharva Joshi
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
Mid-level Generative AI Engineer specializing in LLM, RAG, and multimodal enterprise solutions
Dhruv Kamalesh Kumar
Mid-level Generative AI Engineer specializing in LLM agents and RAG applications
“GenAI builder and technical lead with ~2 years of hands-on production experience, including GENIE (a GenAI sandbox for ~44,000 Massachusetts public-sector employees) and A-IEP, a multilingual platform helping parents understand complex IEP documents (cut processing from ~15 minutes to ~2 and used by 1,000+ parents). Strong in RAG/agentic architectures, AWS serverless + Step Functions orchestration, and rigorous evaluation/guardrails for reliable real-world deployments.”
Varshitha Pendyala
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
“Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.”