- 💻 Backend Engineer: Building efficient systems using Golang and Python.
- 🤖 Machine Learning Engineer: Exploring cutting-edge technologies like GANs, RAG for enterprise applications.
- 🔍 Learning Goals:
- Implementing LangChain and leveraging vector databases for multimodal AI systems.
- Diving deep into the math that powers AI and beyond.
- ♟️ Hobbies: Mastering chess one move at a time and staying sharp with logical reasoning.
- ❤️ Passion: Volunteering for health-related causes and initiatives.
- 📈 Interests: Understanding the technical intricacies of financial markets.
- 🌱 Mindset: Always open to learning and collaboration.
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Languages:
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Libraries & Frameworks:
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DevOps Tools:
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Databases:
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- Programming & Frameworks: Python, Golang, gRPC
- Databases: MongoDB, Redis, MySQL
- Big Data: PySpark
- Microservices & DevOps: Docker, Kubernetes, Jenkins, Go-Micro
- Finance Tools: Financial market modeling tools and libraries
- 🚀 Experimenting with GANs and Retrieval-Augmented Generation (RAG) to push enterprise AI applications forward.
- 📚 Learning about LangChain and exploring practical use cases for vector databases in multimodal AI.
- 🤓 Studying the intersection of math, AI, and financial markets.
- 🎯 Improving chess skills while balancing tech adventures.
🌟 "The best way to learn is by doing and sharing with others."