.png){kind=logo}
Vidit Naik
Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems
Connect with Vidit
Vidit 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
Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.
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 an LLM-powered natural-language drone control system with real-time video/command loop
- Applied RAG with a vector DB over drone SDK documentation to reduce token usage and cost
- Experience addressing real-time latency constraints in AI-driven control workflows
- Systematic model selection using benchmarks aligned to use case (e.g., coding-focused model for code understanding/writing)
- Agent evaluation approach using a second LLM to critique and improve outputs
- Strong client-facing execution as a forward-deployed engineer integrating AI products with customer systems
Like what you see? We'll introduce you to Vidit directly.
Experience
Education
Skills
Languages
Similar Candidates
Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms
Tejaswini Manjunatha
Mid-level Reliability Engineer specializing in incident response and LLM-driven support automation
“Customer Success Services / Support professional working on Palantir Foundry who productionizes customer integrations (secure OAuth2, scheduled pipelines) and builds LLM-driven support automation (runbook matching) with monitoring and evaluation suites. Also leads developer workshops/demos on Foundry packaging/installation workflows, using live debugging techniques to make concepts concrete.”
Mid-level Software Engineer specializing in real-time streaming and analytics platforms
vidit manglani
Senior Forward Deployed Systems Engineering Leader specializing in AI-native deployments
“Built and productionized an LLM-enabled system visualization web app at Longshot, designed modularly to pivot quickly to a mobile-friendly interface as customer needs changed. Experienced in diagnosing LLM/agentic workflow failures using observability, deterministic replay, and fault-tree root cause analysis. Also delivers developer-focused demos and trainings (including robotics deployment/mapping at Meta) and partners with sales as a technical closer, including for government clients by demonstrating failure modes and system modularity.”
Jayadeep Nukala
Mid-level Software Engineer specializing in enterprise AI and FinTech integrations
“Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.”
Ali Taquie
Junior Software Engineer specializing in AI and FinTech payments
“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”
Interested in Vidit?
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 Vidit
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent