AI Engineer and Kaggle Master building production-ready AI systems that transform complex data into real-world applications.
Over the past 4+ years, I have designed and deployed AI solutions across healthcare, manufacturing, and finance, with expertise in computer vision, spatial intelligence, retrieval systems, and generative AI.
Open-source Python libraries: pluggable, production-ready AI building blocks.
AIE Documentation: https://vk-ant.github.io/ant-intelligence-ecosystem
| Library | What it does | Tagline |
|---|---|---|
| llmevalkit | LLM evaluation & scoring | Evaluate. Score. Improve. |
| adaptive-intelligence | Adaptive RAG orchestration | Learn. Remember. Adapt. |
| SightRAG | Visual perception & retrieval | See. Search. Retrieve. |
| sonarwise | Audio perception & retrieval | Hear. Search. Retrieve. |
| docqwise | Document intelligence & retrieval | Read. Extract. Retrieve. |
| wavqwise | Time-series forecasting & anomaly detection | Sense. Forecast. Alert. |
| antguard | AI data privacy & system profiling | Guard. Detect. Protect. |
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Kaggle Master: 100+ competitions
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Published in IEEE and arXiv
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M.Tech in Artificial Intelligence, BITS Pilani
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Certified: Google TensorFlow, NVIDIA Jetson AI, Microsoft Azure AI, Reinforcement Learning (University of Alberta)
