With a strong academic foundation from IIT (ISM) Dhanbad and valuable experience as a Software Engineering Intern at Microsoft, I am eager to bring my skills to Google. During my time at Microsoft, I used C#, .NET, Python and Azure DevOps to fully automate the partner onboarding process, which significantly improved efficiency and reduced client effort, saving 2 - 3 weeks of time in each onboarding. My technical toolkit includes C++, Python, and JavaScript, along with expertise in the MERN stack.
Beyond my technical skills, I have led projects like Moodscape, a mental well-being platform that aimed to help people struggling with everyday anxiety and served as President of the Mic.Drop Toastmasters club, demonstrating my leadership and collaborative abilities. I am also an ICPC Algo Queen World Finalist where I achieved a global rank of 66, and a recipient of the Harvard WEAmplify scholarship, making me a Harvard WECode'23 Scholar and have achieved ranks in various competitive programming contests and hackathons, showcasing my problem-solving skills and commitment to learning.
I believe my blend of technical expertise, project experience, team-player spirit and leadership qualities would make me a valuable addition to Google, where I am excited to contribute to innovative solutions and impactful projects that impact billions every day.
Projects
Moodscape
Priortise Your Mental HealthHTML, Firebase, CSS, JavaScript, Webpack, GitHub, Canva, TYPEFORMCrop Yield-er
An AI model that predicts crop yield, based on the amount of pesticides used. The model considers factors such as crop type, weather, & rainfall to optimize pesticides usage & increase yield.Google Colab, Python, GitHub, KaggleSkills
Experience
- Microsoft - SDE InternMay 2024 - July 2024
Tech Stack: C#, .NET, Azure DevOps, GitClient, Python, React
• Worked in the Security Platform & Ecosystem team under Cloud Ecosystem Security Business
• Fully automated the partner onboarding process, allowing partner clients of Microsoft to fill out a form on the website. Their
onboarding details were collected and converted to the required format, and an automated pull request was created on the
private security repository. Approval of this request marked the onboarding of the files into Microsoft’s Security data.
• By eliminating the need for human presence, automating the entire process significantly enhanced efficiency. This automation
enabled faster and easier registration of complaints or identification of suspicious activities in logs, reducing client efforts and
manpower by 100% and saving 2-3 weeks of time in each onboarding.