Kunal Dargan is a software engineer with experience developing surveillance video analytics engines using computer vision and deep learning. He has worked on projects involving face recognition, human re-identification, object tracking, and anomaly detection. Currently he is developing an open-source visual data selection and summarization toolkit.

1. +919899902217 | ​kdkunal.94@gmail.com |​ ​https://github.com/Kunaldargan ​|​ INDIA
KUNAL
DARGAN
SUMMARY ​: ​“Think twice code once”
Experienced software engineer, enthusiastic to
develop open-source technologies.
RESEARCH INTERESTS :​Computer Vision, ​DNN
model Compression, Video Summarization
EDUCATION
BTech. Computer Science,​University of Delhi — ​CGPA 8.4
AUG, 2013 - JULY, 2017
Project on “INFLATION PREDICTION” : A1 Grade
Higher Secondary, ​CBSE — 93.5%
JUNE,2013
EXPERIENCE
A​itoeLabs, ​Software Developer (Specialist ML),
Mumbai , Dec 2017 - Present
- Deployed surveillance video analytics engine for government agencies.
- Developed capabilities : Face Recognition, Human Re-Identification, Object
tracking, Custom business logic layer real time Smart CCTV.
- Built on top of open source technologies : OpenCV, Openface, Caffe,
Darknet, Dlib, MongoDB, Keras, Python, Linux, Shell scripting, Bitbucket.
- Responsible for end to end ML requirements for the system : training
darknet models, autoencoder based anomaly detection
Constalytics, ​Intern (ML and NLP)
October 2017 - December 2017
- Developed ‘Octopus’ : Stocks knowledge graph using tensorflow, keras, neo4j,
gensim, NLTK, python
WeChat, ​Application Testing— ​Summer Internship
June 2015 - Aug 2015
PROJECTS
‘INFLATION PREDICTION’​ ​— ​College Major Project
With my team developed a flask web application which predicted inflation
using ensemble of ML models : Used Scikit Learn, Flask , Python.
RESEARCH
- Approval pending video summarization system
"Vis-DSS: An Open-Source toolkit for Visual Data
Selection and Summarization" at ,WACV , 2019,
- Developed C++ code for Vis-Dss and entire GUI
desktop application in open-QT framework, Link to
the paper: https://arxiv.org/pdf/1809.08846.pdf
- ​ ​Arxiv paper Deployment of Customized Deep
Learning based Video Analytics On Surveillance
Cameras : ​https://arxiv.org/abs/1805.10604
TECHNICAL INTERESTS AND COURSES
Languages : ​C++, C, Python
Programming practices : ​Agile, Multithreading, Open
Source, Git, Standard Template Library (STL), OOPs.
Courses : ​DS and Algorithms, Artificial Intelligence,
Differential Calculus, Software Engineering, Computer
Architecture, Web Development
Competitive Programming​ : EY smart automation
hackathon (Top 10), NSE Hackathon 2017
SKILLS
● Team player
● Self Motivated
● Behaviour analysis
LEISURE
I love reading and long walks !