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Emerging Tech Explorations

Evaluating state-of-the-art standards and frameworks for enterprise adoption.

This section outlines my active research spikes, technical evaluations, and prototypes. I focus on testing cutting-edge paradigms under rigorous, production-like conditions to assess their practical viability.

Current Research Spikes

  • Local-First Data Lakehouses: Architecting zero-infrastructure data platforms utilizing Polars, DuckDB, Apache Arrow, and dbt-core for ultra-fast, local-first analytics on Parquet and Iceberg datasets.
  • Deterministic Multi-Agent Systems: Designing stateful, cyclic multi-agent choreography using LangGraph, Pydantic AI, and Model Context Protocol (MCP) to automate complex enterprise reasoning with high determinism.
  • Self-Healing Observability Agents: Prototyping local agentic loops (leveraging Hermes and lightweight local LLMs) to monitor pipelines, diagnose run-time failures, alert stakeholders, and auto-propose remedial Pull Requests.
  • Automated IaC Guardrails: Implementing declarative, policy-as-code validations (OPA Rego & Conftest) within ephemeral CI/CD pipelines to enforce zero-trust security and cost-optimization across GCP and AWS.