RESUME
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Professional
info
Self-motivated, curious and hardworking research oriented personal with a great eye for detail and execution of new ideas and technologies for an inclusive growth.
After graduation (B.Tech. ECE) in 2016, I worked on Adaptive signaling and related smart city use case research as a fund grant was allotted to me by the central ministry (MSME) India in 2016. Further, I got associated with Learnogether Technologies Pvt. Ltd. as a Research Consultant. Now, after completing masters in Robotics at KAIST, I am continuing doctoral degree from KAIST.
Work
experience
Graduate Research Assistant in Robot Intelligence Lab (Full-funding Support by KAIST scholarship for PhD in Electrical Engineering : Robotics) (03/2023)
Graduate Research Assistant in Vehicular Intelligence Lab (Full-funding Support by KAIST scholarship for MS in Electrical Engineering : Robotics) (03/2021 - 03/2023)
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Worked on Accident Detection in CCTV feeds and Ego-Vehicle Cameras.
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Collaborated for development of security ADAS using deep learning and block-chains.
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Collaborated for real time traffic speed profiling using genetic algorithms.
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Worked on accident prevention ADAS system using OpenCV, and Deep learning. Also conducted POC with Deloitte, India for Lucknow.
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Collaborated on object detection and tracking and pose estimation.
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Delivery Robot path planning and trajectory prediction in heterogeneous traffic using graph and route searching algorithms.
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Deployed the portal of cycling and pedestrian route planning in COVID 19 era for safe navigation with Deloitte, GIZ, and University of Edinburgh, (Letter of Support)
Research Consultant in “Learnogether Technologies PVT. LTD.” (06/2018-02/2021)
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Responsible for Smart city related projects inclusive of system design, and implementation-level details discussion with clients (professionals and academicians).
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Conducted RnD and software design for use case of eye tracking; drowsy detection and facial expression in E-learning use case, using OpenCV, and Deep learning
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Worked on toll price prediction and road network data visualization and analysis for 545 toll-plazas in India, using ML models- Random Forest, SVR, and DNN techniques.
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Extracted traffic-related intelligence (J-3) using sensing-infrastructure free crowd-sourced data of Google APIs. Further for adaptive signaling, unique AIMD based algorithm is proposed.
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Filled a patent and further discussed implementation details with Deloitte, India to conduct POC of adaptive signaling work in Gurugram, India. Signed NDA
Research scholar in GCET, [Galgotias-Director's_letter] (08/2016 –06/2018)
- Pursued joint research projects with Dr. Ankit Gupta and Dr. Devanjan Bhattacharya by interacting with CEOs/ Directors/ Government officers.
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Conducted POC and Hardware/ Software prototype development of traffic light control board for adaptive signaling, IoT network security, low-cost visibility measurement sensing technology, tourism and freight truck route update guide system's framework.
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Worked on a methodology to map real-time congestion mapping on tempo-spatial city-wide area basis. Further, moving source emission is estimated for stable pollution checking policy, which is a substitute for Google project targeted to Delhi.
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Technical consultancy for Toll plaza congestion tracking problem. The proposal drafts submitted were ‘congestion tracking’ and ‘visibility control’.
Skills
Programming:
Python (Advanced proficiency in working with Pytorch, Tensorflow, Numpy.)
Software:
SUMO, RTOS, KEIL, Eclipse, Jupyter Notebook
Hardware:
ARM Cortex (STM32), DAQ
Qualitative skills:
Independent thinker Technical reports / research paper writing, Leadership quality as well as a team player
Award
Project fund grant of 12.5 lakh INR by Gov. of India, MSME [Grant_Letter]
Project Fund grant of £ 11500 approved by University of Edinburgh for "MobilitySafe"
Full-funding by KAIST scholarship for MS and PhD in Robotics
Personal Information
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DOB: 20/September/1994
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Language: Hindi, English
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Nationality: Indian
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Address: 399, New colony, Anoop Nagar, Rohta Road, Meerut-250002, U.P., India
Education
PhD in EE : The Robotics Program, Korea Advanced Institute of Science and Technology, 2023-2026, GPA- (4/4.3)
MS in EE : The Robotics Program, Korea Advanced Institute of Science and Technology, 2021-2023, GPA- (4/4.3)
B.Tech. in Electronics and Communication Engineering, 2012-16, Galgotias College of Engineering and Technology, (AKTU) (Transcript)
Online Courses
Udemy :
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Complete Python Bootcamp
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Python for Data Science and Machine Learning Bootcamp
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Statistics for Data Science and Business Analysis
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Python for Time Series Data Analysis
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Complete Tensorflow 2 and Keras Deep Learning Bootcamp
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Deep Learning Advanced Computer Vision (GANs, SSD, +More!)
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Python for Computer Vision with OpenCV and Deep Learning