HEY, I'M KAUSHIK š
I combine AI engineering with backend expertise to build scalable systems, experiment with modern models, and share everything I learn.
Enterprise-grade Retrieval-Augmented Generation system with Hybrid Search (Dense + BM25), neural cross-encoder reranking, and continuous RAGAS evaluation.
Production-ready Model Context Protocol server enabling Claude, Antigravity, and AI Agents to securely inspect Slack channels, send messages, and dispatch Block Kit rich alerts.
Production-grade Text-to-SQL system with proactive ambiguity detection, AST safety validator, and read-only query execution across 1.55M+ relational e-commerce records.
How to convert an O(nĀ²) pairwise search into an O(n) linear scan by dynamically storing previously visited complements in a hash map.
Sep 4, 2026
Master the Last-In First-Out bracket validation pattern to guarantee well-nested code, arithmetic parsing, and balanced delimiters.
Sep 4, 2026
How to reverse a singly linked list in-place using prev, curr, and next pointers with O(1) auxiliary space.
Sep 4, 2026
Simulating recursion depth-first with an explicit stack to perform Left-Root-Right tree traversals.
Sep 4, 2026
Building enterprise multi-agent workflows, tool use, eval frameworks, and low-latency inference pipelines.
Specialized in advanced RAG, graph retrieval, AST safety validation, and Model Context Protocol (MCP).
Mastered high-concurrency event-driven systems, Kafka, Redis caching layers, and cloud native architectures.
Built relational schemas, automated data pipelines, query optimization, and ML model evaluation harness.
Deep focus on Data Structures & Algorithms, competitive programming (1960+ rating), and OS fundamentals.
Scrambled tables, dirty OCR, and orphan chunks quietly poison vector search ā here's the four-stage pipeline I use to stop it.