Himanshu Prakash
Greater Noida
Summary
Experienced Senior Software Developer specializing in Python, Deep Learning, and Computer Vision. Skilled in developing and deploying models like YOLOv8, Faster R-CNN, RetinaNet, and EfficientDet for object detection and infrastructure analysis. Currently working on the Digital Twin product, focusing on detecting unique bird nests, corrosion, and telecom antennas from 2D images and 3D models. Proven track record in building image and video analysis solutions, object segmentation, and custom tools to enhance efficiency and automation.
Overview
7
7
years of professional experience
Work History
Sr. Software Developer
Innovis Telecom Services India Pvt. Ltd.
07.2024 - Current
- Led the 'Digital Twin' project, focusing on telecom infrastructure monitoring using 2D and 3D data
- Developed deep learning models to detect unique bird nests and unique corrosion patches from 2D images of telecom towers
- Designed and implemented algorithms to identify and count antennas from 3D models (.obj files), ensuring precise structural analysis
- Built in-house tools, including advanced image annotation and image-superimposition systems, to optimize team workflows and improve efficiency
- Implemented clustering algorithms (DBSCAN, Region Growing, Graph-Based) to enhance point cloud data processing and accuracy
- Utilized MeshLab for 3D model pre-processing and post-processing, ensuring high-fidelity digital twin outputs
- Containerized the application using Docker, enabling scalable and consistent deployment across diverse environments
Lead Engineer -> Technical Lead
HCL Technologies Pvt. Ltd.
11.2017 - 07.2024
- Client Name: Google – Alphabet, Boeing, Nikon, Electrolux, Chroma
- Skills: Python, Deep Learning, Computer Vision, YOLOv3, CNN, SSD
- Redeveloped and enhanced Google Workspace APIs (Gmail, Sheets, Calendar, etc.) by creating wrappers for internal repositories and contributing to public repositories
- Designed and implemented detection algorithms like SSD and YOLOv3 for crowd detection as per client need
- Developed image processing solutions, applying techniques like edge detection, blob detection, and image thresholding for diverse use cases
- Contributed to Google Workspace public repository
Education
PGD -
CDAC
01.2017
B.E. - CSE
NMIT
01.2010
Sr. SSC -
MSD
01.2004
SSC -
MSD
01.2002
Skills
- Python
- Deep Learning
- Computer Vision
- YOLOv8
- Faster R-CNN
- RetinaNet
- EfficientDet
- 3D Modelling
- YOLOv3
- CNN
- SSD
- OpenCV
- ResNet
- Scikit-Learn
- NumPy
- Pytorch
- Keras
- NLP(Basic)
- Dockers
Languages
English
Hindi
Self Appraisal Projects
- Q/A Chatbot (Currently working on), NLP - Created a Chatbot to answer all the HR queries
- Covid-19 Detection, Deep learning using VGG-16 and RES-Net 50 architecture, Generated a predictive model that predicts the number of COVID Cases and achieved the maximum accuracy of 82.0%.
- Intrusion detection system, TensorFlow, Keras, For detecting network intrusion by reading log files of type - .pcap and achieved a maximum accuracy of 72.6%.
- Neuro Imaging, Image processing techniques, OpenCV, Read images from .nii format data (3D images data) of brains and perform Fourier transform and display the image.
Personal Information
Date of Birth: 02/02/88
Tools And Software
- Python
- Neural Networks Architecture: VGG, ResNet, DarkNet, SSD, YOLO, RetinaNet
- CNN
- RNN
- LSTM
- Scikit-Learn
- NumPy
- TensorFlow
- Keras
- NLP (Basic)
- Docker
Timeline
Sr. Software Developer
Innovis Telecom Services India Pvt. Ltd.
07.2024 - Current
Lead Engineer -> Technical Lead
HCL Technologies Pvt. Ltd.
11.2017 - 07.2024
B.E. - CSE
NMIT
Sr. SSC -
MSD
SSC -
MSD
PGD -
CDAC
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