"Turning data into decisions, and ideas into intelligent systems."
- π B.Tech in Artificial Intelligence & Machine Learning @ Amity University (2023β2027)
- πΌ AI/ML Engineer Intern building real-time, production-grade AI systems
- π§ Passionate about GenAI, distributed systems, and intelligent automation
- β‘ Strong focus on scalable AI + backend engineering + MLOps
- π Exploring AI applications in MarTech, finance, and real-world optimization
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π’ Developing AI-powered Container Terminal Automation System
- Event-driven microservices (Kafka architecture)
- Real-time decision engine for logistics optimization
- Digital twin system with Redis (<10ms latency)
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π± Currently learning:
- Advanced MLOps & CI/CD pipelines
- LLM orchestration (LangChain, LangGraph)
- High-performance AI system design
- Built with LangChain + Gemini + FAISS
- Semantic search using Sentence Transformers
- Real-time insights via FastAPI + Streamlit
- YOLO-based tree detection & vegetation analysis
- Integrated Google Street View + weather APIs
- Generated heatmaps & climate analytics
- Distributed system handling 79+ event types
- Predictive decision engine + automation
- Designed for low latency & scalability
Python Java C++ SQL R MATLAB Bash
TensorFlow PyTorch Scikit-Learn XGBoost
LangChain LangGraph HuggingFace YOLO OpenCV
Pandas NumPy Kafka FAISS Redis
FastAPI Flask Django Streamlit REST APIs
Docker AWS (EC2, ECR) GitHub Actions
MLflow DVC CI/CD
- π₯ Winner β MoneyMatrix Hackathon (GDSC, Amity University)
- π Participant β Innoverse 36-Hour Hackathon
- π Certifications:
- Machine Learning (GDSC)
- Prompt Engineering (Vertex AI)
- Docker & Kubernetes
DefQuant Chaudhary
Blending Deep Learning + Quantitative Thinking + Scalable Systems to engineer the future.