Deep-dives into LLMs, RAG, distributed architectures, and real-world system design.
How I engineered Jarvis AI — connecting ERP, warehouse management, and finance systems into an operational command center using official MCP v1.0.4 and Gemini 2.5 Pro.
Read Article →A comprehensive technical deep-dive into context window constraints, high-dimensional vector search, chunking strategies, and pgvector retrieval grounding.
Read Article →Developing a predictive HR workforce intelligence platform with dynamic CSV dataset ingestion, SHAP explainable AI attribution, and interactive Chart.js visualizations.
Read Article →Evaluating 10+ years (2014-2024) of nationwide solar time-series data across 36+ Indian states/UTs covering 81.8+ GW with polynomial regression forecasting.
Read Article →Architecting an AI database copilot translating natural language inquiries into verified read-only SQL queries with deterministic star-schema validation.
Read Article →Real-world lessons from designing high-concurrency Node.js and Fastify backend architectures, Prisma connection pooling, Redis caching, and reactive React portals.
Read Article →Technical walkthrough of building 25+ production React Native modules, offline-first GPS geo-tagging, and 4-tier Role-Based Access Control.
Read Article →Engineering high-throughput order pipelines, sub-2ms driver proximity queries with Redis GEORADIUS, and resilient event-driven state transitions.
Read Article →How we engineered sub-120ms offline convolutional neural network inference on budget Android smartphones for livestock disease detection, published at IEEE.
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