# Sandeep Menon

> Deep Learning and Computer Vision at Kodiak Robotics

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sandeepmenon

Passionate about working in technologies that empower the lives of people. Exploring work that delivers scalable systems with the application of Computer Vision, Deep Learning, Core Sofware Development principles and Data Science. Primary interests include autonomous driving, data synthesis using adversarial networks and computational geometry.

## Work Experience
### Software Engineer, Machine Learning and Perception @ Kodiak
Jan 2024 – Present | Mountain View, CA
Developing vision capabilities for our onboard and offboard autonomous driving system.
Deep learning models fusing multiple sensors to predict 3D bounding box, vehicle trajectory, ground height and lanes.
GenAI synthetic data generation for domain randomization and expanding to ODDs such as snow tracks, dirt roads, forests etc.
Foundation models for autonomous driving built using multiple LiDAR, camera and RADAR sensors. 
2D Segmentation for road, potholes, and obstacles.
Designed and deployed end-to-end ML system from active data collection to labeling to model training, evaluation and finally deployment.

### Deep Learning and Computer Vision Intern @ Kodiak Robotics
Jan 2023 – Jan 2023 | Mountain View, California, United States
Created a deep learning sensor fusion model to learn a unified semantic representation of the surroundings from which obstacles, vehicles, pedestrians, lanes etc could be identified.
Also developed a new inference engine to run 3D sparse convolutions and DL models with custom CUDA kernels on onboard systems under 40ms.

### Deep Learning Research Engineer @ Deepen AI
Jan 2020 – Jan 2022
- Built an offboard deep neural network prediction pipeline to get semantic segmentation of 3D point cloud sequences. Pre-labeled sequences improved data annotation speed by 30% and achieved a mean Intersection over Union (mIoU) score of 76%.
- Implemented object-aware anchor-free tracking for 2D visual object tracking and VPGNet model for lane segmentation and classification.
- Developed targetless camera-to-IMU and stereo camera calibration pipelines
- Created an on-demand GPU Virtual Machine allocation system using Azure. Enabled automatic allocation and de-allocation of expensive GPU machines as per requirements, thereby saving up to 1000 USD per month.

### Software Engineer 2 @ Microsoft
Jan 2020 – Jan 2020
- Developed GDPR handling service for D365 Sales Insights Email Infra.
- Contributed to cloud solutions for D365 Sales Insights Email Infra. Worked on Azure Service Fabric, Azure batch, Service Bus, Azure SQL, RocksDB.

### Software Engineer @ Microsoft
Jan 2018 – Jan 2020
Developing AI infused features for Dynamics 365 Sales Insights.
- Similar Opportunities in Relationship Analytics (patent pending)
- Sales Insights Connector in Microsoft Flows
- Relationship Assistant Studio

### Executive Member @ IEEE NITK
Jan 2015 – Jan 2018 | Surathkal
Executive Core Member in IEEE student chapter at National Institute of Technology Karnataka, Surathkal.

### Software Engineering Intern @ Microsoft
Jan 2017 – Jan 2017 | Hyderabad Area, India

### NLP/AI Engineering Intern @ CogniCor Technologies
Jan 2016 – Jan 2016 | Cochin Area, India
Worked on Artificial Intelligence Systems in Recommender Agents.

### Software Engineering Intern @ RevoluCian
Jan 2016 – Jan 2016 | Hyderabad Area, India
Developed a user friendly inventory management software using JavaFX and FXML. SQL database for backend, and server in IBM bluemix and Microsoft Azure.
In depth use of Java Design patterns.
Implemented a chat bot to have converstations about apparel shopping details.


## Education
### Master of Science - MS in Computer Science
New York University

### Bachelor of Technology (BTech) in Computer Science
National Institute of Technology Karnataka

### Nanodegree in Computer Vision
Udacity

### High School in Science
Kendriya Vidyalaya


## Contact & Social
- LinkedIn: https://linkedin.com/in/sandeep-n-menon
- Portfolio: http://sandeepnmenon.github.io

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Source: https://flows.cv/sandeepmenon
JSON Resume: https://flows.cv/sandeepmenon/resume.json
Last updated: 2026-03-29