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João Henrique Gouveia SperandioJS
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João Henrique Gouveia Sperandio

@joohenriquegouveiasp

I build production-grade agentic AI systems, secure execution infrastructure, and scalable distributed platforms.

Brazil
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What I'm looking for

I'm looking to build production-grade AI systems where agent reliability, observability, secure execution, distributed infrastructure, and real client outcomes matter.

At Adopt AI, I build agentic development infrastructure and own the security posture of the code-execution layer. I cut new-product onboarding from seven days to two or three hours by turning a recorded HAR file into a complete integration.

I re-architected sandbox infrastructure for long-running workloads, reduced cold starts from more than 90 seconds to near-instant, and designed distinct execution postures for SOC 2, LGPD, on-prem, and cloud environments. As an embedded engineer, I’ve delivered LLM-assisted forecasting and document-processing workflows for retail and CPA clients.

Previously at Perch Insights, I built multi-agent NLP pipelines that translate business questions into structured queries over client data. I introduced LangChain and LangSmith observability, hybrid PgVector retrieval, and release gates using 300+ real prompts and 400+ tests per client environment.

I began in full-stack and DevOps engineering, building Tickey’s ticketing platform at APPMOOVE to support 30,000 sales for a single event. Outside work, I’m building Aurora, an open-source privacy-first peer-to-peer AI assistant mesh using WebRTC, Rust, and WebAssembly as my MSc dissertation.

Experience

Work history, roles, and key accomplishments

Adopt AI logoAA
Current

Founding Engineer

Dec 2025 - Present (9 months)

Seven days down to two or three hours for new-product onboarding, through ABCD (Adopt Actions Built on Cursor), open-source agentic development infrastructure that turns one recorded HAR file into a complete integration: auth detection, API ingestion, schema mapping, generated workflows.

Schema inference now runs as a Mixture of Experts that classifies APIs from HAR recordings, with several exper

Perch Insights logoPI

Full Stack AI Engineer

May 2024 - Dec 2025 (1 year 7 months)

Six agents convert freeform business questions into structured queries against per-client data schemas: time resolution, measure and dimension matching, intent, sub-queries, sorting, filtering. GPT-4o-era models could not do it in one pass.

Retrieval moved from Pinecone to PgVector on Postgres, with naive top-K replaced by hybrid vector plus keyword search. Match quality on client measures and di

Shaw and Partners logoSP

Full Stack Engineer

Oct 2023 - May 2024 (7 months)

Threefold outreach throughput at 60% lower cost, through multichannel automation over LinkedIn and email using Dux-Soup, with per-campaign daily rate limiting and an integrated omni-chat tracking every conversation in one place. We ran it for the company and on behalf of client accounts.

83% fidelity to lead requirements came from sourcing and filtering with Snowflake against target-client profil

APPMOOVE logoAP

Full Stack Engineer

Aug 2022 - Oct 2023 (1 year 2 months)

Fullstack and DevOps on Tickey, a live-updated ticketing and event management system serving salespeople, organizers and ticket buyers.

First place in organic Google results for local event searches, reached by building the ticketing e-commerce end to end and alone in Next.js and tuning progressive generation, time to first byte and accessibility. Integration with Google's native ticket search fo

SR

Web Developer

Schneider & Rojas

Jan 2019 - Nov 2019 (10 months)

Developed web solutions for clients.

Education

Degrees, certifications, and relevant coursework

UB

Universidade Politécnica de Bragança

Master's Degree, Informatics

2026 - 2027

Master's degree in Informatics, on a double-degree agreement with UTFPR in Brazil.

Dissertation: "Distributed Mesh and P2P for Voice and Text AI Assistants: Democratization of Intelligence", supervised by Prof. Isabel Lopes at IPB and Prof. Rodrigo Campiolo at UTFPR. The work designs, implements and evaluates Aurora, a personal peer-to-peer capability mesh for private AI assistants. Typed service

FP

Federal University of Technology - Parana

Bachelorette, Computer Science

2020 - 2026

Bachelor's degree in Computer Science, concluded through a double-degree agreement with Instituto Politécnico de Bragança in Portugal.

The coursework that carried furthest into my work: Computer Networks, Cybersecurity, Operating Systems, Computational Intelligence, Graph Theory, Theory of Computation, Programming Language Aspects and Physical Computing. I earned the Cisco CyberOps Security Assoc

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