Recent Posts

Articles on AI infrastructure, data engineering systems, and applied ML. Published on LinkedIn.

Architecture of Thoughts Cover
Architecture of Thoughts — my new book exploring the structure of reason, criticism, and consciousness. It dives into how thoughts form beneath awareness and how beliefs settle. This is not motivation or surface-level philosophy—it's the mechanics of thought. Now available.
SAGUS: The Frontier Adaptive Intelligence Infrastructure — following a technical discussion with Abhinav Pandey (CEO of Quantistic), exploring the integration of SAGUS as a deployable Model Control Plane (MCP) into their infrastructure. Enabling dynamic execution control, structured reasoning, and adaptive learning for production AI.
Exploring Adaptive RAG Systems with Dynamic Routing — a deep-dive into query complexity detection and routing across retrieval strategies. Covers dense + sparse hybrid search, confidence-based fallback chains, multi-hop reasoning, and contextual re-ranking — moving beyond static RAG pipelines toward truly intelligent retrieval.
Rex AI — Local AI & RAG — introducing Rex AI, a fully local-first AI workspace. Built with Local LLMs, multiple RAG architectures (CAG + FAISS, vectorless), adaptive intelligence modes, and a Qt-based desktop UI. Your data stays yours — no cloud, no compromise.
Realtime AWS Data Lakehouse — built an end-to-end real-time streaming data pipeline on AWS. Ingests structured and semi-structured data using Kinesis + Kafka, transforms via Apache Spark (PySpark), and lands into a scalable lakehouse architecture with fault-tolerant ingestion and schema enforcement. Designed for high-throughput analytics workloads.
Manakizharchi AI — an end-to-end AI system built to analyze emotional sentiment and audience perception across textual content and Instagram posts. Combines classical NLP with LLMs and RAG to model complex human responses like ambiguity and sarcasm. Skills: LLM, Retrieval-Augmented Generation (RAG), +1 skill
PsychTutor — an adaptive AI tutoring system for psychology education. Uses LLM-powered conversation, Socratic questioning, and prerequisite-aware concept delivery to guide learners through complex psychological concepts. Built with a retrieval-augmented backend and session-aware state management.