.png){kind=logo}
Deep Patel
Junior AI/ML Engineer specializing in NLP, LLMs, and MLOps deployment
Connect with Deep
Deep already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Built and deployed NeuroDoc, a production-grade RAG system for PDF Q&A that delivers citation-backed answers with strong anti-hallucination guardrails. Experienced in orchestrating and scaling ML/LLM pipelines with Kubernetes, Airflow/Prefect, and PyTorch Distributed, and in building rigorous evaluation and citation-verification tooling to ensure reliability in production.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- End-to-end production deployment of LLM/RAG systems (FastAPI + Docker + Nginx)
- Systematic hallucination reduction using thresholds, multi-chunk evidence, grounding prompts, reranking, and post-checks
- Designing measurable LLM evaluations (grounding accuracy, hallucination rate, latency, citation correctness)
- Building automated citation-correctness checkers (parsing citations, matching to chunk IDs)
- Scalable and reliable Kubernetes-based model serving (HPA, probes, GPU scheduling)
- Translating non-technical product requirements into concrete technical constraints and tradeoffs
Like what you see? We'll introduce you to Deep directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Mid-level Gameplay/AI Engineer specializing in Unity, XR, and narrative NPC systems
Mid-level AI/Software Engineer specializing in NLP pipelines and LLM-driven automation
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Junior AI/Data Engineer specializing in LLM agents and data governance automation
Shweta Gupta
Senior Backend Software Engineer specializing in Java microservices, Kafka, and AWS
“AI engineer who shipped a production chat assistant for a storage company by building the underlying RAG-style knowledge base (document ingestion, chunking/embeddings, FAISS vector store) and an admin update interface to keep content current. Also has full-stack delivery experience (Python REST APIs + React/TypeScript UI) and AWS operations using Terraform/Jenkins, including handling a real production performance incident by optimizing DB queries and adding auto-scaling.”
Balaji Namala
Junior AI Engineer specializing in LLM systems, RAG, and scalable cloud AI
“Built and shipped production LLM agents for real-time, high-concurrency conversational systems, including a RAG-based pipeline with dynamic multi-provider routing and failover that achieved 99.99% reliability and sub-800ms latency. Also architected a UAV telemetry chatbot with tool-calling (anomaly detection/summarization), strict schema validation, and robust eval/monitoring loops, cutting tool-call errors by 30% and reducing operational costs by 90%.”
Interested in Deep?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Deep
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent