ABOUT ME
Hello! I'm Samriddhi.
I am a Software Engineer with sound judgment and strong interpersonal skills. I am an ambitious and hardworking individual with a sheer curiosity into the emerging technologies of the software world.
EDUCATION
-
Bachelor's Degree
Vellore Institute of Technology, Vellore
Information Technology
CGPA - 9.25 -
CBSE All India Senior School Certificate Examination
Sunbeam School Lahartara, Varanasi
PCM with Music
Percentage - 93.4% -
ICSE Council for Indian School Certificate Examinations
St. John's School Marhauli, Varanasi
PCMB with CS
Percentage - 95%
EXPERIENCE
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Software Engineer III
Google, Bangalore, India
- Admin Console, Google Workspace (07/2022 - Present)
- Led a 3 phase project that let customers export filtered domain-wide data from Google Workspace, boosting filtered export use by 40%.
- Implemented strategic modifications to the Admin Console Navigation and enhanced Chrome Browser visibility.
- Regionalized multiple servers and database partitions. Formulated a comprehensive test strategy. Secured compliance.
- Created a configuration-based interface for Tabs and Datatable, saving significant SWE weeks and improving efficiency.
- Exposure: Full Stack Development, Software Development Lifecycle, Leadership and Mentoring, Cross functional Collaboration, Data regionalization, QA Testing, Launch Process
- Silicon Validation Software (07/2021 - 06/2022)
- Delivered System level Cache for Pixel 8 series chipset in cross-geographic collaboration with the hardware team, vendors, and external Google partners.
- Designed software interrupts flow between IPs by comprehending h/w architecture specification and complex programming sequences.
- Exposure: C, System on a Chip, System Level Cache, IP, Metal Tapeout, Zebu Emulator, Peripherals
-
SDET Intern
AppDynamics (part of Cisco), Bangalore, India
- Built a load generator that simulates real-time data use cases.
- Created and dockerized an application to check health rules of various nodes and tiers.
- Exposure: Docker, Java, Shell Script, Python, Application Performance Monitoring, Anomaly Detection, Application Health Rules
-
Research Intern
Netaji Subhas University of Technology (NSUT), Delhi
- Developed a Fuzzy Logic-based Q-Learning Routing Protocol (FQLRP) for Opportunistic Networks exhibiting superior performance in terms of delivery rate, average delay, and overhead ratio.
- Authored and got the above research paper published in IEEE ICC’20 conference.
- Exposure: Machine learning, Artificial Intelligence, Opportunistic Networks, Routing Protocols, Java, Object Oriented Programming
-
Intern
Clearpath Network Infotech
Worked on bug fixing and maintenance of various web applications. -
Web Developer
ACM-VIT Student Chapter
Contributed in the design and development of event portals and technical chapter projects. -
Web Developer
VinnovateIT Chapter
Contributed as a web developer and project lead.
PROJECTS
Duration: 05/2019 - 10/2019
Project overview: Built a fuzzified Q-learning based
router for the transfer of message packets in OppNets. Research paper on the same has
been published in IEEE Xplore.
Exposure: OppNets, Eclipse, Fuzzy logic, ONE
Simulator, Routing Protocols, Java
Duration: 05/2018
Project overview:A website to get reviews and feedback
about the Student chapter, ACM from students as well as faculties. Worked in a team of
4.
Exposure: HTML5, CSS, Jquery, Javascript, Ajax, Sails,
Node.js, Materialize, GIT
Duration: 09/2018
Project overview:To automate the work of issuing
books, returning books and calculating fine.
Exposure: MySql, Node.js, Javascript, EJS, Express,
Bootstrap
Duration: 05/2020
Project overview: Analysis to find the factors that
determine loan approval.
Exposure: Pandas, Numpy, Jupyter Notebook, Matplotlib,
Seaborn
Duration: 05/2020
Project overview: Analysis on data collected in
various forms from WeRateDogs Twitter Account to get meaningful information about
different breeds of dogs.
Exposure: Pandas, Numpy, Matplotlib, Twitter API, Web
Scraping
Duration:04/2020
Project overview:Analysis to understand the reasons
behind a patient’s no-show for a medical appointment.
Exposure: Pandas, Numpy, Jupyter Notebook, Matplotlib,
Seaborn
Duration: 12/2018
Project overview:To recognize 102 different types of
flowers using CNN.
Exposure: CNN, Jupyter Notebook, OpenCV
SKILLS
ACHIEVEMENTS
- Got research paper published in IEEE Conference 2020.
- Received sponsorship by Google to attend Grace Hopper Conference 2023 in Orlando, Florida.
- Received 14 peer/ spot awards at Google.
- Received 3 awards in recognition of contributions to maintaining the health of Google’s codebase.
- Merit Scholar in the Department of Information Technology for 3 consecutive academic years: 2018-19, 2019-20, and 2020-21.
- Secured 2nd place in She Code 3.0 by Skillenza and in HerHack Hackathon by Google Developers Group VIT.
- Facebook Pytorch Scholar - Recipient of a scholarship funded by Facebook for a Udacity nano degree course in Deep Learning.
CERTIFICATES
Data Analyst Nanodegree by Udacity
Inside Sherpa’s Virtual internship with JPMorgan Chase and Co.
Software Processes and Agile Practices by Coursera
API and Web Service Introduction by Udemy
CODING PROFILES
Codechef:
4 Star (max)
InterviewBit:
Global Rank-1274 (max)
College Rank-2
Hackerrank: 5 Star
Problem Solving and CPP
