Devansh Mahant

Senior SWE @ Stride.AI · AI engineering · agents · full-stack
ICPC Regionalist · Top 0.3% LeetCode

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I move between agent infrastructure, full-stack products, model systems, and lower-level engineering. The medium changes; the habit stays the same: understand the constraint, build the smallest useful system, then measure what happens in the real world.

agent infrastructure  → tools · guardrails · evals · traces
full-stack products   → next.js · node · postgres
model systems         → LoRA · RAG · vision
systems engineering   → rust · go · elixir

beautiful systems that actually ship.

Runtime control for LLM applications
A guardrail layer that wraps the OpenAI client — per-session budget reservations, tool allowlists, and execution policy. No proxy; keys stay inside the host app. Span-first tracing with violation capture and eval-ready dataset export.

TypeScript Next.js PostgreSQL OpenAI API

Multi-model AI image editor
20+ LoRA style-transfer models, AI background removal, and a canvas-based multi-layer editor. Launched on Product Hunt and monetized with tiered subscriptions.

Next.js Node.js LoRA Canvas

Phone automation, fully local
End-to-end Android automation inspired by OpenClaw — an agent that drives your phone while running entirely on-device. No cloud, no leaks.

TypeScript Android Agents

A vector database from scratch
Custom vector DB built in Elixir to explore indexing architectures such as HNSW and IVFFlat from first principles.

Elixir HNSW IVFFlat

A browser that lives in your terminal
Terminal-based browser engineered in Go, driving Brave in headless mode. The web, rendered where developers actually live.

Go Headless CLI

LLM Orchestration · Agents · RAG · LoRA Fine-Tuning · TypeScript · Python · Rust · C++ · Next.js · Node.js · PostgreSQL · Docker · AWS · Solidity · Eval Pipelines

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