.png){kind=logo}
Vidhi Upadhyay
Senior Software Engineer specializing in AI/ML, computer vision, and cloud-native systems
Connect with Vidhi
Vidhi 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
Independently built a production-grade, containerized enterprise agentic AI platform (stateful orchestration + RAG) focused on real-world reliability—guardrails, citation-based outputs, reranking, query rewriting, and evaluation harnesses to reduce hallucinations. Hands-on with OpenAI SDK, CrewAI, and LangGraph, and has delivered AI solutions for non-technical NGO stakeholders via demos and practical POCs.
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
- Built and deployed a production-style enterprise agentic AI platform from scratch
- Reliability-first approach to reducing hallucinations via guardrails, validation, and citations
- Strong RAG engineering: semantic chunking, metadata-aware retrieval, reranking, query rewriting
- Designs modular, observable agent workflows with measurable evaluation metrics
- Creates automated evaluation harnesses and benchmarks; uses monitoring/logs/traces to prevent regressions
- Able to translate non-technical stakeholder needs into technical AI use cases (NGO project) and deliver demos/POCs
- Took an internal GenAI knowledge assistant from RAG prototype to production used by multiple teams
- Strong hallucination-mitigation via improved retrieval (chunking, metadata filtering, hybrid search) and prompt guardrails
- Production-readiness mindset: evaluation datasets plus logging/tracing to monitor and prevent regressions
- Latency/accuracy optimization focused on retrieval efficiency (Top-K tuning, caching, precomputed embeddings, efficient vector indexes)
- Real-time LLM workflow debugging using end-to-end traces and query replay to isolate root causes
- Pragmatic incident mitigation with guardrails/fallbacks to maintain service continuity
- Effective developer-facing demos/workshops using interactive, hands-on live testing rather than slideware
- Cross-functional partnership with sales: translating business pain points into technical use cases and building customer-specific POCs to improve late-stage conversion
Like what you see? We'll introduce you to Vidhi directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Senior Full-Stack Engineer specializing in frontend-heavy FinTech and marketplace platforms
Senior Software Engineer specializing in ML, distributed systems, and GenAI search
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Chase Bradley
Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure
“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”
Staff Full-Stack Software Engineer specializing in AI-powered platforms and scalable backend systems
Interested in Vidhi?
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 Vidhi
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent