Aditya Chechani
Computer Vision, Machine Learning |
Aditya Chechani is a highly skilled software engineer with a focus on computer vision and machine learning. With over 3.70 years of relevant experience, Aditya has a proven track record of designing and developing cutting-edge algorithms for a range of applications. Currently working as
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5
Years of Experience
Education
boston university college of engineering, manipal institute of technology
Companies
vimaan, deep north inc., view inc, ipg photonics, endless robotics, lt
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Experience
2022 - Present
vimaan
Software Engineer - Computer vision
2020 - 2022
deep north inc.
Software Engineer - Applied Machine Learning
2019 - 2020
view inc
Machine Learning Engineer
Designed and developed Computer Vision and Machine Learning algorithms as part of the IOT and AI team. Developed models for thermal and RGB image data as well as time series multi modal sensor data. • Spearheaded experiments for estimating room occupancy using very low resolution thermal cameras, automating ground truth collection using vision cameras and third party sensors. • Working towards building dynamic and spatial models for occupant spaces to accurately estimate ambient lighting in rooms based on point light sensor data. • Developed compensation algorithms for different sensor data. • Implemented action recognition models for fall detection based on features extracted using dense optical flow. • Prototype hardware and software solutions for tracking, detection and modelling. • Ground truth, test and validate algorithms for statistical performance, as it relates to current state of the art and other sensor modalities.
2018 - 2018
ipg photonics
Software Engineering Intern
Responsible for designing and implementing software solutions, improving existing products, completing testing, and providing support for software development. Administered critical technical integration by advancing features for the Flat Cutting and Rotary Cutting Machines. Utilized the Motion Controller to devise algorithms for avoiding collisions, streamlining processing and refining pathways. Key Achievements: • Orchestrated enhancement of .NET WinForm application on Visual Studios, being a major contributor to the new software launching in 2019. • Incorporated new features for a hybrid of the Flat Cutting and Rotary Machines. Spearheaded experiments, being recognized for reducing purge time of residue gas during switches from 20 seconds to 2.5 seconds.
2017 - 2017
endless robotics
Software Developer Internship
• Worked in a cross functional team to facilitate Prototype development, designing and manufacturing of a Wall Painting Robot. • Implemented algorithm and coordinated with design team to increase spray span of end effector from 6 ft to 9 ft. • Researched on edge detection algorithms to eliminate window surfaces from spray area. • Tested different chassis configurations with Mecanum and Omni directional wheels and their usability to improve locomotive control. • Actively assisted the CEO and CTO in the technical and engineering developments of product including and not limited to design, prototyping, and testing
2015 - 2015
lt
Automation Intern
• Identified and enhanced automation strategy, implementing quality control and contributing to successful projects. • Designed and developed prototype of a semi automated tapping machine using vibrational feeder and pneumatics. • Improved glass fiber dust cleaning machine to reduce hazardous releases.
Experience
56 Skills
.NET Framework
Agile Project Management
Algorithms
Algorithms
Android Studio
Applied Machine Learning
Arduino
Artificial Intelligence (AI)
Artificial Neural Networks
Assembly Language
ATMega
C
C#
C++
Cloud Computing
Cloud Computing IaaS
Communication
Computer Vision
Computer Vision
Data Structures
Deep Learning
Digital Circuit Design
Digital Image Processing
Docker
Excel
Field-Programmable Gate Arrays (FPGA)
Hardware
Image Editing
Image Processing
Internet of Things (IoT)
LEAP
Linux
Machine Learning
Machine Learning (ML)
Matlab
Microsoft PowerPoint
Microsoft Visual Studio C++
Microsoft Word
Mobile Robotics
Neural Networks
Object-Oriented Programming (OOP)
OpenCV
Product Design
Product Development
Programmable Logic Controller (PLC)
Programming
Python
Robotics
sensors
Software Development
Software Engineer
SolidWorks
test
Verilog
Vision
Visual Studio
Education
2017 - 2019
boston university college of engineering
Master's in Electrical and Computer Engineering
Computer Engineering
2013 - 2017
manipal institute of technology
B.Tech in Mechatronics Engineering
Robotics and Control Systems
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