> RESEARCH SCIENTIST & AI/ML ENGINEER

Vaibhav Singh

I design and deploy end-to-end Generative AI, LLM, and RAG pipelines. Specialized in productionizing scalable AI platforms and robust evaluation systems. Co-authored 2 AI safety publications (CVPR, EMNLP).

5+ Years

Experience

3 Years

GenAI & LLM Stack

Lead

Teams of 4-5

Impact & Leadership

AI Lead
@ Lombard Standard
PRE-SEED FUNDED

Led a team of 4-5 engineers to productionize scalable AI platforms. Built automated evaluation pipelines and ran rapid experiments to drive product maturity.

Antler Funding Secured
$1.2K MRR Generated
Production Scalable Platforms

System Specs

Generative AI Core

Azure OpenAI LangChain AWS Bedrock Pinecone (Vector DB) RAG Pipelines

Model Engineering

Fine-Tuning (SFT/PEFT) LoRA RLHF Multimodal (CLIP) Vision-Language

MLOps & Infrastructure

Docker Kubernetes AWS / GCP Python & SQL Large-scale Eval

Research Publications

CVPR 2025

Immune: Improving Safety Against Jailbreaks

Proposed an inference-time defense framework leveraging safe reward models to defend against jailbreak attacks in Multi-modal LLMs.

EMNLP 2025

RELIC: Reward Model Generalization

A novel framework for enhancing reward model generalization in low-resource settings using few-shot examples.