🔭 I’m currently working on : Veyra (self-healing data infrastructure platform), Shift.ai (CDC-based warehouse migration with Debezium + PySpark), and an LLM safety benchmark suite
👯 I’m looking to collaborate on : data observability tooling, production ML pipelines, RAG/CAG systems, and open-source DE/AI infrastructure
🤝 I’m looking for help with : LLM fine-tuning workflows (SFT, RLHF) and on-device model optimization
🌱 I’m currently learning : Apache Spark internals, Delta Lake table format, transformer architectures, and LLM evaluation frameworks
💬 Ask me about : building CDC pipelines with Debezium and Kafka, production ML deployment on SageMaker, behavioral anomaly detection with PyTorch, RAG-powered data tools, and data quality with Great Expectations
⚡ Fun fact : I can smash a shuttlecock at 200 km/h and debug a Kafka consumer lag spike, both require the same kind of calm under pressure !
🚀 Open to full-time opportunities in Data Engineering, AI Engineering, and Machine Learning Engineering, feel free to reach out at chetanjitendra02@gmail.com
- Phoneix, Arziona
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supermemoryai/supermemory-mcp
supermemoryai/supermemory-mcp PublicYour memories are in ChatGPT... But nowhere else. Universal Memory MCP makes your memories available to every single LLM. No logins or paywall. One command to set it up.
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DS570Capstone/FitnessAQA
DS570Capstone/FitnessAQA PublicFocusing Fitness AQA as an optimization problem
Python
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