Open to opportunities

DIVYE VAIBHAV

@divyeeee

Message

Aspiring ML and robotics engineer building real-time perception and neural cryptography systems.

India

Message

What I'm looking for

I’m looking for a team where I can build real-world ML + robotics systems, ship reliable services, and iterate fast—turning experiments into measurable performance gains with strong engineering rigor.

I’m an aspiring ML and robotics engineer who turns research ideas into working systems—from neural cryptography to real-time disaster search-and-rescue perception. I’ve published a technical report on neural cryptography using autoencoder latent-space keying and engineered models that distinguish human motion states under non-line-of-sight conditions.

In robotics, I’ve helped lead initiatives like a logistics-cobot with full autonomous pick-and-place, and I built real-time ArUco marker detection pipelines to enable sub-centimeter localization in GPS-denied environments. I also optimize robotics stacks in Gazebo/ROS2 and deliver hands-on ROS2 workshops to 450+ students, with results that include a top-5% placement at e-Yantra 2024–25 and Smart India Hackathon 2024 recognition.

Experience

Work history, roles, and key accomplishments

Current

Executive Member, EXE

Current

Exe (Departmental Club for Cse)

Dec 2023 - Present (2 years 6 months)

Published a technical report on neural cryptography using autoencoders for latent-space key generation and covert channel design. Engineered RescueEcho, a real-time disaster search-and-rescue classifier for mmWave radar, improving motion-state classification accuracy by 12% with Doppler frequency-shift features.

Neural Cryptography PyTorch Convolutional Neural Networks (CNNs)MmWave Radar Signal Processing

Executive Member, Robotics Society

Robotics Society, NIT Hamirpur

Oct 2023 - Jan 2025 (1 year 3 months)

Advanced to the pre-final round of e-Yantra 2024–25 (IIT Bombay), placing in the top 5% of 1000+ teams, and helped architect a logistics-cobot with autonomous pick-and-place. Built an OpenCV/Python ArUco detection pipeline achieving sub-centimeter localization accuracy, reduced navigation drift by 60%, and optimized 6-DOF motion planning in Gazebo/ROS2 to cut path-planning latency by 15%.

OpenCV ArUco Detection Python Gazebo

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Hamirpur

B.Tech and M.Tech (Dual Degree), Computer Science and Engineering

2023 - 2028

Grade: CGPA: 8.16/10.0

Activities and societies: Smart India Hackathon 2024: 3rd among internal teams; selected for national round. e-Yantra 2024–25 (IIT Bombay): qualified for pre-final, top 5% of 1000+ teams.

Pursuing a dual degree B.Tech and M.Tech in Computer Science and Engineering at NIT Hamirpur. Current CGPA is 8.16/10.0.