Aryan Jain

Product Engineer

3 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in Computer Vision and Robotics.
Proven experience in developing swarm drone technologies.
Strong background in Machine Learning and Deep Learning.

Stackforce AI infers this person is a Robotics and Computer Vision specialist with a focus on Machine Learning applications.

Contact

writetojainaryan@gmail.com +918968134786 LinkedIn

Skills

Core Skills

Computer VisionRoboticsIndustrial AutomationDeep LearningNatural Language Processing (nlp)Robot Operating System (ros)DronesMachine Learning

Other Skills

C (Programming Language)C++CNC ProgrammingCascading Style Sheets (CSS)Collaborative Robotic ArmComputer ScienceConvolutional Neural Networks (CNN)Creative WorkData AnalysisData EngineeringData ScienceDocker SwarmGame TheoryGesture RecognitionGit

Experience

3 yrs 10 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 10 mos

Current Experience

Quantbox research

2 roles

Quantitative Researcher

Jan 2025 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

DevOps Engineer

Jul 2024 – Dec 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Sdu robotics

Summer School for Robotics

Jul 2023 – Aug 2023 · 1 mo · Odense, Denmark

Computer VisionMotion ControlProduction LinesProgrammingCollaborative Robotic ArmStartups+1

Phytomark

Computer Vision Intern

Aug 2022 – May 2023 · 9 mos · Kanpur · Hybrid

Computer VisionIndustrial AutomationPython (Programming Language)CNC Programming

Indian institute of technology, kanpur

Undergraduate Student Researcher

May 2022 – Sep 2022 · 4 mos · Kanpur, Uttar Pradesh, India

Aim - Develop decentralized swarm drones, automate it and minimize bandwidth with onboard computing
Process -
Developed software architecture, algorithm, and hardware of 5 drones cooperating as a real swarm.
Implemented software in ROS Melodic, simulated in Gazebo 9 and integrated Rpi with PX4 in the drones.
Expanded predictive target location technique for follower drones to optimize speed and prevent collisions.
Results -
Achieved intra-messaging bandwidth of just 12 bytes while minimizing lag and maintaining the formation.
Successfully incorporated lag-friendly fail proofs to prevent congestion and potential collisions of drones

Robot Operating System (ROS)C++Swarm IntelligenceResearch and Development (R&D)DronesDocker Swarm

Robotics club, iit kanpur

2 roles

Coordinator

Apr 2022 – Apr 2023 · 1 yr · IIT Kanpur

OpenCVPattern RecognitionTensorFlowRoboticsObject DetectionDeep Learning+2

Secretary

Aug 2021 – Apr 2022 · 8 mos · IIT Kanpur

Natural Language Processing (NLP)RoboticsPyTorchDeep LearningSoftware Integration

Invariance automation private limited

Computer Vision and Automation Intern

Mar 2022 – Apr 2022 · 1 mo · Kanpur, Uttar Pradesh, India

Developed Automatic Optical Inspection (AOI) machine for PCB fault detection using OpenCV and deep learning for small data.
Established high-accuracy CNC-Image coordination by running mocks for different PCBs and fine-tuning parameters each iteration.
Experimented with DL models and image resolutions and achieved 83% val-accuracy to classify small data of PCB welds.
Formulated plan of action, suggested crucial changes in design and process to automate AOI and a CV based Chromatography machine

Convolutional Neural Networks (CNN)Computer VisionOpenCVIndustrial AutomationMachine LearningPython (Programming Language)+3

Aerial robotics iitk

Team Member (software)

May 2021 – Aug 2022 · 1 yr 3 mos · Kanpur, Uttar Pradesh, India

Developing the software stack for our custom-built fleet of aerial robots.
Developed the code in C++ (ROS) where the swarm drones could follow the given waypoints while maintaining the formation
Also incorporated inter and intra drone repulsion and obstacle avoidance with minimum change
in formation shape of swarm drones