Akshat Adsule

Software engineer & guy with a camera

Associate software engineer at Veeva

About Akshat Adsule

I'm a software engineer and UC Davis computer science and engineering graduate, joining Veeva to build clinical data management software. My work spans production platforms, cloud systems, and hands-on engineering projects, including distributed deep rendering and compositing, where I'm building open-source tools for rendering, and orchestrating animation workloads. Before that, I built robots with my robotics team, launched an app at a large non-profit organization for tracking horses in the wild, and worked at my school's IT department. Outside of software, I spend a lot of time with photography; some of my favorite shots live in my photo gallery.

Software engineering experience

  1. August 2026 - ?

    Associate Software EngineerVeeva Systems

      • June 2025 - Sept 2025

        Software Engineering InternVeeva Systems

        • Worked on Veeva’s Electronic Data Capture (EDC) application, a platform for collecting, reviewing, and validating clinical study data
        • Resolved 40+ software defects in a Java backend and React/Backbone frontend, improving system usability and reliability
        • Implemented production features for file uploads, external data ingestion, and lab-data workflows in Veeva EDC, improving support for clinical study data collection.
        • Java
        • React
        • JavaScript
        • SCSS
        • MySQL
        • Git
        • Jira
      • Oct 2023 - Present

        Student Application DeveloperUC Davis IET

        • Collaborated with senior developers to maintain MyInfoVault, a platform for academic personnel
        • Resolved defects and developed new features in a mature Java Spring web application as per the needs of actual users
        • Collaborated on an ongoing UI refresh and transitioned existing JSP pages to modern technologies such as Vue.js
        • Java
        • Spring
        • React
        • MariaDB
        • Jira
      • June 2023 - Sept 2023

        Software Engineering InternAmerican Wild Horse Campaign

        • Worked with a team to build and release a full-stack mobile application to gather crowdsourced data to identify and tag horses in the wild with machine learning
        • Designed and deployed backend systems for image processing, user management, and app functionality using standard technologies and platforms such as node.js, postgres, Microsoft Azure, Google Firebase, PostgresSQL, Docker, and Kubernetes.
        • Implemented machine learning models into the backend to ensure image validity and quality while removing unwanted and dangerous content
        • Node.js
        • Postgres
        • Azure
        • Firebase
        • Docker
        • Machine Learning

      Software projects

      1. Jan 2026 - Present

        Distributed Deep Rendering and Compositing

        • Building Skewer, an open-source animation suite for distributed deep rendering, compositing, and render orchestration
        • Developed a custom C++ ray tracing renderer with deep sampling support for per-pixel depth and opacity data
        • Researched and implemented a deep image compositor for merging multi-layer render outputs efficiently
        • Designed cloud infrastructure for distributed render jobs across Google Cloud Platform
        • Created a React and Three.js scene previewer for editing scenes and dispatching render jobs
        • C++
        • Go
        • React
        • TypeScript
        • Three.js
        • GCP
        • Terraform
      2. Sep 2024 - May 2025

        Volare

        • Launched Volare, a web-based AI interview coach that helps college students practice with role-specific mock interviews
        • Developed a TypeScript backend and Next.js frontend for generating personalized interview sessions from job listings and user profiles and resumes
        • Integrated ElevenLabs voice synthesis to support real-time conversational interview practice
        • Added computer vision feedback for facial expression and emotion cues to make post-interview coaching more personalized
        • TypeScript
        • Next.js
        • GCP
        • Agents
        • Large Language Models
      3. April 2025 - June 2025

        Bike Black Box

        • Built B3, a smart bike monitoring system for automatic ride tracking, crash detection, and live location sharing
        • Prototyped embedded hardware with a TI CC3200 SoC, GPS antenna, OLED display, and accelerometer
        • Used AWS IoT Device Shadows and SNS to synchronize bike state and send crash detection alerts in real time
        • Developed a tracking web app and backend for ride history, live maps, and remote lock controls
        • C++
        • Go
        • React
        • Embedded Systems
        • AWS IoT
        • AWS SNS
      View my full résumé