Akshat Adsule

Software engineer & amateur photographer

Incoming associate software engineer at Veeva

Since I was a kid, I've always been fascinated by technology. I started programming in middle school and have been hooked ever since. I'm currently a student at UC Davis studying computer science and enginnering. I've worked on a variety of projects with different technologies and teams. In the past, I've built robots with my Robotics Team, interned at a large non-profit organization tracking horses in the wild, and contributed to Veeva’s Electronic Data Capture (EDC) platform improving clinical data collection and validation processes. I'm currently working at my school's IT department. Outside of my responsibilities, I also enjoy photography. You can find some of my favorite shots over on my photo gallery.
  1. August 2026 - ?

    Associate Software EngineerVeeva Systems

    • To be updated...
    • 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 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 machining learning models in to the backend to ensure image validity and quality whilst removing unwanted and dangerous content
      • Node.js
      • Postgres
      • Azure
      • Firebase
      • Docker
      • Machine Learning
    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 Resume