AI Engineer with 4+ years building production AI systems across healthcare, manufacturing, and finance. Kaggle Master, creator of 7 open-source PyPI libraries in the Ant Intelligence Ecosystem.
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.
Creator of multiple open-source AI frameworks on PyPI for document, audio, visual, retrieval, evaluation, and AI privacy systems.
Kaggle Master with 100+ competitions. Published in IEEE and arXiv. M.Tech in Artificial Intelligence from BITS Pilani.
Certified in Google TensorFlow, NVIDIA Jetson AI, Microsoft Azure AI, and Reinforcement Learning (University of Alberta).
Seven pluggable Python libraries: composable pipelines, zero mandatory dependencies, works with any LLM provider.
Evaluate and benchmark any LLM system. 78 metrics, 13 modules. Works offline or with any LLM provider.
Self-improving retrieval framework that learns from every query. Persistent memory, agentic retrieval, and MCP tool integration.
Search images and videos with natural language. Index visual content, query with plain text.
Search any audio with natural language. Transcribe, embed, and retrieve from meetings, calls, or podcasts.
Document intelligence that reads, extracts, and retrieves. Works with any document format, structured or unstructured data.
Time-series forecasting, anomaly detection, and signal analysis. 33 built-in models. Five lines to forecast.
arXiv · March 2025
IEEE · Feb 2024
IRJIET · March 2020
ResearchGate · May 2026
ResearchGate · May 2026
Always open to new opportunities, collaborations, and meaningful conversations about AI. Reach out directly or drop a message below — I usually reply within a day.