Ashish Solanki

Security Researcher @ HackerOne

About Ashish Solanki

Ashish Solanki is a Security Researcher with extensive experience in cybersecurity and data science, currently working at Bugcrowd and involved in various projects related to machine learning and drug discovery. He holds a Bachelor's degree in Computer Science from Vellore Institute of Technology and has previously worked at organizations such as HackerOne and the Indian Institute of Technology, Kharagpur.

Work at Bugcrowd

Ashish Solanki has been employed as a Security Researcher at Bugcrowd since 2021. He has contributed to various security research initiatives over the past three years while based in Kharagpur, West Bengal, India. His role involves identifying vulnerabilities and enhancing security protocols within software applications.

Work at HackerOne

Ashish Solanki has served as a Security Researcher at HackerOne since 2020. In this position, he has focused on security research projects aimed at improving cybersecurity measures. His work is based in San Francisco, California, United States, and spans four years.

Education and Expertise

Ashish Solanki obtained a Bachelor's degree in Computer Science from Vellore Institute of Technology, where he studied from 2019 to 2023. His educational background has equipped him with a solid foundation in computer science principles and practices.

Background in Cybersecurity and Machine Learning

Ashish Solanki has experience in cybersecurity and machine learning. He worked as a Cyber Security Trainer at Virtually Testing Foundation for two months in 2021. Additionally, he held a position as a Machine Learning Researcher at SynergyLabs for one month in the same year. His projects include drug discovery utilizing neural networks and brain tumor segmentation and prediction.

Technical Skills and Tools

Ashish Solanki is proficient in a variety of technical tools and programming languages. His skill set includes Google Colab, Python, FastAPI, Docker, React.js, Next.js, Vue.js, Firebase, and Heroku. He is actively learning data science and machine learning tools such as Pandas, Keras, OpenCV, SeaBorn, Numpy, Tensorflow, Matplotlib, Pytorch, Sci-Kit Learn, DCNN, and CNN.

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