Portfolio / Profile

Who is
Lalith Alpuri?

Lalith Alpuri—also written Alpuri Lalith—is an AI systems engineer and open-source developer based in Nashik, Maharashtra, India. He publishes software as @lalithbuilds and builds local-first AI infrastructure, agent memory tools, and multi-agent simulations.

Multi-agent simulation

ALPURIS OS ↗

An open-source agent-city simulation with Python services and an interactive 3D WebGL interface.

Agent memory

EpisodAI ↗

A local MCP memory engine for AI agents, with SQLite persistence, hybrid retrieval, and Obsidian workflows.

Lightweight MCP memory

Episoda Core MCP ↗

A compact Python and SQLite FTS5 server for local, persistent recall in compatible AI tools.

Engineering focus

Lalith's public work spans Python and Java software, Model Context Protocol (MCP) servers, local language-model workflows, retrieval-augmented generation, SQLite-backed memory, and multi-agent systems. His personal Sentinel / UWOF lab explores local MLX model tiers and LoRA fine-tuning. His applied analytics work includes market and competitor analysis, predictive scenarios, and Monte Carlo simulation; projected or synthetic outputs are kept distinct from observed business results.

His background also includes a Bachelor of Commerce in Computer Application from Rayalaseema University and Java Full Stack Development training at KodNest. The linked résumé and repositories provide the detailed project, education, and implementation records.

Finding the right Lalith Alpuri

For this AI systems engineer and open-source developer, the most reliable identity links are GitHub @lalithbuilds, LinkedIn Lalith Alpuri, and this official project site. “Alpuri Lalith” is the same name in family-name-first order. His current location is Nashik, Maharashtra, India.

Some search indexes still show an older student-era LinkedIn page under a different profile URL. That page is outdated; use the current LinkedIn profile linked above for Lalith Alpuri’s present professional identity and location.