Kenny Adedara

Software and infrastructure engineer who works across the whole stack of a physical product: embedded signal acquisition, the data pipelines above it, and the cloud platform that turns the data into something a clinician or a user can act on. Four years building distributed systems at Amazon, a shipped AI-powered iOS product as sole founder and engineer, and now the infrastructure behind a non-invasive neurostimulation device and the clinical studies that validate it.

• Attune Neurosciences

  June 2026 — Present

  Senior Software & Infrastructure Engineer · San Francisco Bay Area

  • Build the software behind a wearable, non-invasive focused-ultrasound device for deep-brain neuromodulation, from on-device signal acquisition to the cloud platform that runs it.
  • Own the infrastructure for the groundwork and clinical studies the device is being validated in, across indications from Alzheimer's disease to OCD and depression: data capture, pipelines, storage you can trust after the session, and the tooling the study teams work in.
  • Forward-deployed across firmware, services and cloud: observability, CI/CD and deployment for a system that has to be correct, auditable and safe.

• Selver

  February 2025 — July 2026

  Founder, Engineer & Product Designer · Seattle, WA

  • Founded, designed and shipped Selver end to end as the sole engineer: an iOS app that passively records real conversations (with consent) and returns post-session coaching, a connection score, timestamped key moments and a personalised plan, calibrated to professional, social, clinical and creative modes.
  • Architected the AI processing pipeline: speech recognition, LLM reasoning, retrieval-augmented generation and an encrypted semantic memory engine on vector embeddings, so coaching stays consistent across months of conversations.
  • Built the asynchronous backend in Python, FastAPI, Celery, Redis and PostgreSQL on AWS, with multipart S3 audio uploads and background processing sized for long-form recordings.
  • Designed and built the React Native app: onboarding, authentication, subscriptions, recording, analytics dashboards and the AI-narrated walkthrough. In beta on TestFlight.

• Amazon

  November 2024 — April 2026

  Software Development Engineer II · Bellevue, WA

  • Sole designer and owner of the systems that let Amazon vendors containerise packages for carrier pickup; cut package processing time by 10% and lifted the DEA performance metric by 20%.
  • Built and deployed retrieval-augmented AI chatbot infrastructure for the Amazon Pricing organisation, automating pricing insight and decision support.
  • Delivered real-time order-data infrastructure that improved visibility and latency between internal systems and external partners.

• Amazon

  February 2022 — November 2024

  Software Development Engineer I · Bellevue, WA

  • Built event-driven services for Amazon's logistics and fulfilment network, progressing from backend services and APIs to technical ownership of business-critical systems serving internal teams, vendors and partners.
  • Streamlined fulfilment-centre workflows with in-house tooling, owned the lifecycle of new synchronous API operations, and hardened deployment pipelines for continuous delivery.

• Cisco

  August 2021 — October 2021

  Software Engineer Intern · Atlanta, GA

  • Built a collaborative-filtering recommendation engine for Cisco DNA Center users and a content-based proof of concept using text-similarity ranking.

Languages

Java · Python · TypeScript / JavaScript · C++ · SQL

Systems & cloud

Distributed systems · AWS (Lambda, DynamoDB, EventBridge, AppSync, S3, Bedrock, Transcribe, CDK, IAM, CloudWatch) · Infrastructure as code · CI/CD · Docker · PostgreSQL · Redis · Celery

Product

React Native · Next.js · FastAPI · Django · GraphQL · Firebase

AI & data

LLM pipelines and agents · Retrieval-augmented generation · Vector search · TensorFlow / Keras · Sensor data and signal pipelines

• Georgia Institute of Technology

  December 2022

  M.S. Computer Science

• Georgia State University

  December 2021

  B.S. Computer Science

• Research: Enabling Multiple Access in Visible Light Communication Using Liquid Crystal Displays, GSURC Research Conference, 2020.
• 1st place, Open Water Accelerator 2020; 1st place, GSU Hackathon 2021; 3rd place, GSU Hackathon 2019/2020.