class ChiruVaibhav:
name = "B. Chiru Vaibhav"
role = "Applied AI Engineer & CS Student"
college = "ACS College of Engineering, Bengaluru (VTU) — SGPA 8.6"
year = "4th Year CSE → Graduating 2027"
focus = ["LLM Systems", "Data Engineering", "Computer Vision", "RAG Pipelines"]
currently = "Building production-grade AI tools & crushing internship season 🚀"
open_to = ["AI/ML Internships", "Data Engineering Roles", "Research Collaborations"]
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ResNet-50 powered dermatology AI with 96% accuracy and 5ms ONNX-optimized inference. Offline-capable medical image classification for real-world clinical settings.
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LangChain-powered multi-agent pipeline for end-to-end advertising content generation. Orchestrates research, copywriting, and visual planning agents autonomously.
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Ensemble ML system (XGBoost + LightGBM) for football player market value prediction. MIT licensed, live Streamlit deployment, open-source with real transfer analytics. 
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Real-time fraud detection pipeline built on Apache Kafka. End-to-end ETL with streaming ingestion, feature engineering, and ML-based anomaly detection at scale. 
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| 🏅 Achievement | 📋 Details |
|---|---|
| 🥈 GPOCC Hackathon | Runner-up — National Level |
| 🇮🇳 Smart India Hackathon 2025 | National Finalist |
| 💼 Hackveda Solutions | Promoted: Intern → Data Engineer |
| 🤝 GSSoC 2026 | Active Open Source Contributor |
| 🎓 Certifications | NVIDIA Deep Learning • DeepLearning.AI • Azure AI Fundamentals |
- 🛰️ Drone Geopositioning — SuperPoint + LightGlue for GPS-free visual localization
- 🤖 LLM Agent Systems — LangGraph-based agentic workflows
- 🔍 RAG Pipelines — Vector DB integration with production-ready retrieval systems
- 🌐 Open Source — Contributing to LlamaIndex via GSSoC 2026
"I bridge the gap between cutting-edge AI research and production-ready software that creates measurable impact."
If you're working on AI systems, data pipelines, or intelligent automation — let's connect.
