Komal Joshi
Delhi
Summary
Innovative Deep Learning Engineer with a proven track record at Settlemint India Services Pvt Ltd, specializing in computer vision and predictive modeling. Expert in Python and TensorFlow, I excel in developing advanced solutions that enhance operational efficiency and resource allocation. Strong collaborator with a commitment to driving impactful results in AI projects.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Deep Learning Engineer
Settlemint India Services Pvt Ltd
New Delhi
06.2023 - Current
- Developed facial recognition system for teachers, improving attendance tracking and access control.
- Implemented headcount system to deliver real-time classroom occupancy data and optimize resource allocation.
- Deployed a food classification system to automate meal item classification and enhance inventory management using ResNet.
- Developed food volume calculation models with 3D point clouds using the OpenAI model Point-E.
- Contributed to various projects improving operational efficiency through innovative computer vision solutions.
- Developed predictive models for baggage mishandling as a proof of concept for FlyDubai Airlines.
- Designed a demo chatbot using Langchain, LLAMA3, and RAG for a banking proof of concept using Streamlit.
Computer Vision Engineer
Ficha
Delhi
10.2022 - 02.2023
- Executed image processing and computer vision tasks, utilizing techniques like image masking and filtering.
- Developed custom augmentation algorithm to balance object classes in datasets through random instance generation.
- Structured data acquisition algorithm for waste object detection and classification.
- Built object detection models using various YOLO architectures and implemented tracking with YOLOv8, ByteTrack, and DeepSort.
- Integrated AI algorithms into data acquisition for edge devices, optimizing performance on NVIDIA Jetson Xavier.
- Converted PyTorch models into quantized formats to enhance operational efficiency.
- Collaborated with DevOps team for model deployment using DeepStream and Triton Inference Server.
- Applied techniques in waste classification and segmentation for automated sorting of waste materials.
Computer Vision Engineer
Unicus Technologies
Hyderabad
04.2022 - 10.2022
- Managed dataset creation, model selection, and building using various CNN architectures.
- Executed object detection, segmentation, and OCR tasks using Pytesseract, EasyOCR with OpenCV, TensorFlow, and Keras frameworks.
- Conducted raspberry-pi camera calibration and perspective calibration for enhanced image processing accuracy.
Project Trainee
ISRO(LEOS)
Bangalore
03.2021 - 05.2021
- Investigated elemental abundance estimation methodologies from spectra of multi-element samples.
- Conducted quantitative analysis of plasma to assess its composition and characteristics.
- Participated in CF-LIBS (Chemical Fusion-Laser Induced Breakdown Spectroscopy) experimental analysis, including Boltzmann plots, elemental line identification, and concentration determination.
Aerospace Technical Author
CadesStudec Technologies Pvt Ltd
02.2018 - 05.2018
- During my tenure as a trainee technical author in the ATR-AMM (Aircraft Maintenance Manual) department, I worked on projects related to ATA-6, which involved technical drawing modifications.
- Specifically, I was tasked with changing the specifications of drawings, such as converting a plug door to a passenger door configuration.
- This helped me honing my skills in technical communication and project management within the aerospace industry.
Apprenticeship
Hindustan Aeronautics Limited
Bangalore
11.2017 - 03.2018
- During my tenure at Hindustan Aeronautics Limited (HAL) in Bangalore, I worked within the HAL engine division.
- Here, I underwent comprehensive training on various aspects of engine maintenance, including inspection work, load testing, assembling, and stripping of different components.
- Specifically, I gained hands-on experience with the ALH engine named Ardiden 1h1 (Shakti), further enhancing my skills and knowledge in aerospace engineering and engine maintenance procedures.
Education
MTECH - MACHINE LEARNING
RAMAIAH UNIVERSITY OF APPLIED SCIENCES
Bangalore09.2021
BTECH - AERONAUTICAL ENGINEERING
SRI INDU COLLEGE OF ENGG AND TECHNOLOGY
Hyderabad01.2017
HIGHER SECONDARY CERTIFICATE (HSC) - SCIENCE
PATHAK HIGHER SECONDARY SCHOOL
RAJKOT01.2010
SECONDARY SCHOOL CERTIFICATE (SSC) -
SHREE VIVEKANANDA VINAY MANDIR
JETPUR01.2008
Skills
- Python
- Image processing
- Computer vision
- Deep Learning and Machine Learning
- TensorFlow
- PyTorch
- Keras
- OpenCV
- PIL
- SciKit-image
- Numpy
- Hyperparameter tuning
- Pandas
- Model deployment
- Image segmentation
- Predictive modeling
- Object detection
Projects
Smart Eye: It is an application designed to assist visually impaired individuals by converting visual information into auditory cues using object detection, distance measurement, and text-to-speech with PyTTS on a Raspberry Pi
Cotton Plants Disease Detection Using Transfer Learning: A project illustrating the effectiveness of transfer learning in detecting diseases in cotton plants using various models, such as ResNet, DenseNet, and EfficientNet, and a comparative analysis between them
Certification
- Python Certification, DataCamp
- Linear Regression with NumPy and Python, Coursera
- OpenCV, Pyimagesearch
Timeline
Deep Learning Engineer
Settlemint India Services Pvt Ltd
06.2023 - Current
Computer Vision Engineer
Ficha
10.2022 - 02.2023
Computer Vision Engineer
Unicus Technologies
04.2022 - 10.2022
Project Trainee
ISRO(LEOS)
03.2021 - 05.2021
Aerospace Technical Author
CadesStudec Technologies Pvt Ltd
02.2018 - 05.2018
Apprenticeship
Hindustan Aeronautics Limited
11.2017 - 03.2018
MTECH - MACHINE LEARNING
RAMAIAH UNIVERSITY OF APPLIED SCIENCES
BTECH - AERONAUTICAL ENGINEERING
SRI INDU COLLEGE OF ENGG AND TECHNOLOGY
HIGHER SECONDARY CERTIFICATE (HSC) - SCIENCE
PATHAK HIGHER SECONDARY SCHOOL
SECONDARY SCHOOL CERTIFICATE (SSC) -
SHREE VIVEKANANDA VINAY MANDIR
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