Internship Completion Certificate

Certifcate of Excellence

The Arduino Platform and C Programming

Internet of Things: How did we get here?

OK Google: Build Interactive Apps with Google Assistant

How Google does Machine Learning

2nd position in Hackathon

Android Developer

Proficiency of C

Launching into Machine Learning

GCP Essentials

Bachelor of Technology - BTech

12th class

Application Developer

• Using NI's LABView created a system to generate test reports and mail them to the head of R&D team for further analysis.
• Worked on Task Planning using Microsoft Tasks
• Learned about the process involved in the KAIZEN program and automated the whole thing using Spreadsheets.

Intern

• Developed a simulation for a 4 wheeled differential drive robot to test various parts of an AMR. 
• Developed a system to transfer data between pc's or embedded system via socket connections.
• Experimented and implemented various costmap layers like STVL, NPVL and planners like global planner, local planners - dwa, teb.
• Developed a unique system to setup multiple robots using an optimised colcon build system to use the install spaces instead of src files.

Robotics Software Engineer -Intern

• Developed a IoT system for the lab to open/close doors whenever someone comes in. 
• Used the data to create predictive systems.

Iot Lab Member

AI/ML Lead Consultant

Robotics Nanodegree course : Was invited to test the course for any bugs, mistakes, lecture difficulty, etc. The main focus was to check the flow of the course for a newbie.

Course Beta Tester

• Developed autonomous navigation stack and obstacle avoidance using Ros 1 as a framework and using depth camera + lidar for  navigation. 
• Developed an integrated public announcement system for beach robot using inputs from the sensor suite and 3D location of obstacles present on the scene based on complexity and severity.
• Developed ros wrapper for an AI based detection system to use segmented data for enhanced navigation methods.
• Planned and worked on a project AVAS - Advanced Voice based Awareness System which uses multiple data points and real life inputs to enable a user friendly communication with the robot by leveraging the services of AWS.
• Worked with freedom robotics to setup a cloud based fleet management system for the flagship robot.
• Developed and managed several internal tools hosted on AWS EC2 to improve  developer productivity, e.g. CLEARML Self Hosted Solution, CVAT Self hosted Server.
• Developed a pipeline for AI based plant phenotyping which uses several mod

Robotics Software Engineer

• Ported Triton Edge AI System to Nvidia Deepstream SDK, optimizing performance and cost for real-time video analytics.
• Built a scalable architecture using Redis (Streams, ReJSON, Pub/Sub), WebSocket API, Django, and Channels, enabling Triton to operate offline without internet for lifeguard tower communication.
• Architected and developed a real-time plant detection and disease identification pipeline for chili crops, designing a custom CNN model to monitor disease spread using classification data.
• Deployed Apache Guacamole to manage and control access to remote systems, including Triton AI, Aurus robots, and internal servers.
• Led the development of 6+ prototypes in one month for AI-based use cases such as face detection (HR), parking management, intrusion detection, and multi-camera tracking.
• Shipped several user-driven features like WebRTC streaming from robots and remote teleoperation based on direct interaction with end users.

Senior Software Engineer

• Building AI solutions that bridge edge devices, real-time analytics, and scalable cloud deployments.
Specializing in AI model optimization for NVIDIA Jetson platforms, custom pipelines with DeepStream SDK, and cloud integration on AWS and GCP.
• Delivering projects in sectors like agriculture tech, beach safety, and robotics automation.
• Providing end-to-end AI development services, including architecture design, model training, deployment, and monitoring.

✅ AI Model Development & Optimization: Tailoring AI solutions for NVIDIA Jetson platforms with real-time analytics.
✅ Cloud Infrastructure: Designing secure, scalable cloud architectures with AWS EC2, Lambda, Firebase, and Docker.
✅ Custom Solutions: Developing tools like Pixel Annotation Tool, Scout Platform, and real-time disease detection pipelines.
✅ Consultation & Deployment: Helping clients design and deploy custom AI pipelines optimized for their needs.

Let’s collaborate to build AI-powered solutions tailored to your chal

Founder and CEO

At Neurabit Solution, my team and I are pioneering AI solutions that enhance edge computing with real-time analytics, sp

Know about Subham Agrawal's work experience, education, bootcamps, certifications, and much more. Subham Agrawal