Saurabh Shelar is a Software Engineer (Full-stack) inferred to be associated with the CK-12 Foundation, with over 4 years of experience. His professional presence is on LinkedIn at https://linkedin.com/in/shelarsaurabh. He is currently a Student at Trinity College Dublin, where he is pursuing an MSc in Computer Science, having previously earned a BSc in Computer Science & Engineering from Shivaji University and a Diploma in Mechanical Engineering from Maharashtra State Board of Technical Education. Saurabh is seeking full-time work and has a Tinkerer role as an AI Engineer (Application Development).

AI Engineer Application Development, Intelligent Systems, Applied AI/ML (PyTorch, BERT), Data Pipeline Automation, Full-stack Development, Large-scale Static Site Generation

Leading data pipeline automation and large-scale static site generation using Astro, Node.js, and React at CK-12. Also engaged in applied AI/ML MSc projects, including PyTorch and BERT fine-tuning in TensorFlow, and has prior hands-on work with Android AR ('Augmento').

Polyglot Software Engineer with 3+ years building scalable, data-intensive systems across fintech and high-growth startups. I work end-to-end from distributed backend design and cloud infra to developer tooling and GenAI integrations. My work spans Java, Go, Python, C++, and Postgres internals, with a track record of cutting latencies by 90%, accelerating onboarding flows by 10x, and resolving 1,400+ P0 issues with high efficiency. Gold medalist in CS and currently pursuing an MSc in Computer Science at Trinity College Dublin, I focus on blending deep engineering with pragmatic product thinking.

Advanced distributed systems, database engines, Postgres/ClickHouse internals, AI-assisted developer tools, GenAI context architectures, high-performance backend design, real-time analytics, scalable SDKs, query optimization systems, and ML-augmented infrastructure. Open to collaborating with engineers, researchers, and builders working on dev-tools, data systems, or infra-heavy AI products.

Currently building Postgres AI Toolkit, a native C++ PostgreSQL extension that embeds LLM-powered schema reasoning, SQL generation, and query optimization directly inside the DB process. Uses ClickHouse/ai-sdk-cpp with pluggable model providers, supports safety-first DDL/DML, and enables contextual memory injection for precise, rule-aware query generation. Designed to remove the context-management bottleneck in GenAI-for-databases.