Subodh Kant is a Lead Consultant and Automation Solution Architect with over a decade of experience building ML-driven automation and RPA solutions from Bengaluru. He has led teams to deliver GenAI and LLM-powered chatbots, OCR invoice pipelines, and IT operations optimizations using classical ML and neural networks, while also shaping a data engineering practice at Astreya. Technically hands-on, he contributed backend improvements to the prominent open-source Airbyte project—optimizing MySQL CDC performance and datatype handling—demonstrating practical systems-level impact. His background in infrastructure automation (UiPath, Power Automate, Azure) and an MTech in Artificial Intelligence enable him to bridge research-grade models and production automation reliably. Notably, he combines early-career sysadmin and storage expertise with modern ML engineering, giving him a rare full-stack view of data, infra and automation.
8 years of coding experience
13 years of employment as a software developer
12th, Chemistry and Physics, first class, 12th, Chemistry and Physics, first class at H D Jain College
Master of Technology - MTech, Artificial Intelligence, Master of Technology - MTech, Artificial Intelligence at Indian Institute of Technology Jodhpur
10th, Mathematics, 10th, Mathematics at H P D Jain School
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, First class, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, First class at East West Institute of Technology
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer
Contributions:6 releases, 554 reviews, 145 commits in 1 year 8 months
Contributions summary:Subodh primarily contributed to the implementation and refinement of a MySQL destination for data integration within the Airbyte platform. Their work involved adding features to the MySQL destination, including handling specific data types such as DATETIME and TINYINT(1) and (2), as well as implementing mechanisms for improved cursor handling. The user also worked on improving the performance and reliability of the MySQL CDC implementation, leading to reduced memory consumption.
Contributions:8 PRs, 5 pushes, 3 branches in 3 years 1 month
specs
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