Generative AI Engineer with 3.5+ years building production-grade AI systems across multimodal applications, Kaggle Master & author of llmevalkit, passionate about advancing the frontiers of AI through innovative research that transforms data into actionable insights and intelligent systems.
I'm a Generative AI Engineer passionate about building intelligent solutions that blend research, real-world deployment, and innovation. My work spans Generative AI, Computer Vision, NLP, and end-to-end AI pipelines — from designing algorithms to deploying production-ready systems.
With experience across healthcare, manufacturing, and automotive domains, I've built real-time RAG pipelines, 3D reconstruction systems using NeRF & photogrammetry, document processing platforms on Azure AI, and AI-powered automation tools. I hold an M.Tech in AI from BITS Pilani and am a Kaggle Master (Competitions Expert top ~0.4%, Notebooks Master top ~1.3%).
I enjoy bridging the gap between deep research and applied business impact — with a strong focus on responsible, secure AI systems and governance.
arXiv · March 2025
IEEE · Feb 2024
IRJIET · March 2020





Universal Python library for evaluating and benchmarking LLMs across 15 metrics (pure math-based + LLM-as-Judge) with no ground-truth requirement. Multi-provider: OpenAI, Anthropic, Azure OpenAI, Groq, Ollama. Grounded in SelfCheckGPT, G-Eval, FActScoring, RAGAS research.
v2.0 Roadmap: Compliance metrics for HIPAA, GDPR, India DPDP Act, EU AI Act, NIST AI RMF, CoSAI — dual-mode (regex + LLM-judgment).
Click any card to explore. For the full portfolio visit github.com/VK-Ant.






Always open to new opportunities, collaborations, and meaningful conversations about AI.