MARVIN.KILP
Resume PDF

Senior Software Development Lead

Building the
future of
life science tech

10+ years building and shipping production systems on AWS — from connected life science instruments to SaaS platforms with LLM-enhanced development workflows.

4

Connected Devices

To market

40%

Faster Delivery

Architecture

25%

Efficiency Increase

AI workflows

10+

Years

Experience

Delivered four connected devices from concept to market. Transformed legacy SaaS to accelerate feature delivery by 40%. Led teams integrating LLMs into the software delivery lifecycle.

Cloud Architecture

AWS, serverless, distributed systems

AI Integration

LLM workflows, computer vision, agents

Platform Engineering

SaaS, legacy modernization, IoT

Leadership

Team building, architecture standards

Experience

Where I've Worked

02/2022 - Present

Senior Software Development Lead

MilliporeSigma

Designed and implemented backend services and APIs powering 4 connected life science instruments, enabling reliable device-to-cloud data ingestion.

08/2015 - 02/2022

Senior Solutions Architect & IT Project Manager

Merck Group

Designed and implemented AWS-based data pipelines (Lambda, Glue, Redshift) processing large-scale healthcare claims data.

08/2015 - 02/2022

Software Engineer and Corporate Student

Merck Group

Developed enterprise solutions including Salesforce chatbots, Veeva applications, and augmented reality applications for Microsoft HoloLens.

09/2012 - 08/2015

Software Engineer

T-Systems International GmbH

Developed and maintained COBOL applications on IBM AS400 systems, supporting dealer management systems for Daimler and Mercedes-Benz.

08/2014 - 10/2014

Software Engineer

ARTRONIX LTD

Programmed robots at the University of Scotland (Artronix) for educating kids in robotics.

Projects

Selected Work

Product-focused builds designed for fast debugging, applied AI, and practical developer workflows.

Project 01

RipVision

AI Baseball Card Scanner

An AI-powered mobile app that identifies baseball cards using computer vision and LLMs. Turns camera scans into structured card data, pricing, and collection insights.

Built to solve the manual process of cataloging cards—optimized for high-volume scanning with cost-efficient AI inference.

Computer vision + LLM pipeline
Real-time mobile scanning
Token-optimized inference

Scan. Identify.
Catalog.

Computer Vision + LLM
Mobile + Cloud Processing

Computer VisionLLMMobileCloud
Project 02

CloudWatcher

Tauri-based CloudWatch log viewer for desktop

CloudWatcher is a lightweight desktop app for exploring AWS CloudWatch Logs in real time. It is built to speed up debugging in distributed systems with a focused interface for quick jumps between log groups and recent events.

Problem

The CloudWatch console can be slow and click-heavy during live troubleshooting. Engineers need faster switching between groups and streams, quick scans of recent events, and easier error spotting across services.

Browse and select CloudWatch log groups
View recent events for selected groups and streams
Two-pane layout optimized for fast navigation
Local credential configuration with no hardcoded keys
Native desktop performance via Tauri

Architecture

Desktop App (Tauri) → React + TypeScript UI (Material UI) → AWS SDK + CloudWatch Logs API

TauriReactTypeScriptMaterial UIAWS SDKCloudWatch Logs API

Built to create a faster day-to-day debugging workflow than the AWS console and reduce friction when investigating incidents across multiple services.

Skills

Cloud & Infrastructure

Amazon Web Services (AWS),Microsoft Azure,Infrastructure as Code,Pulumi,SST

Programming Languages

TypeScript,JavaScript,Python,Java,C#,C++,COBOL,SQL,QML

Frontend & Runtime

React,Node.js

Certifications

AWS Certified Solutions Architect – Associate

Amazon Web Services (AWS)

Active

05/2021 - 05/2028

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

06/2020 - 06/2023