Satvik Gupta

Software Engineer

Pune, Maharashtra, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in Low-level software design and device driver development.
Strong background in Data Structures and Algorithms.
Published research on Air Quality Index during COVID-19.

Stackforce AI infers this person is a Cybersecurity and Machine Learning specialist with a focus on software engineering.

Contact

Skills

Core Skills

C (programming Language)Linux KernelCryptographyPythonAcademic ResearchMachine Learning

Other Skills

GitLinuxStatsmodelsScikit-learnPandasNumPyOpenCVTensorFlowC++CybersecurityInformation SecurityShell ScriptingAgile MethodologiesDevice DriversEmbedded Systems

About

Hi, I am Satvik I'm a software engineer at NVIDIA, working on the Core Platform Software Security Team for NVIDIA Tegra. I started coding as a teenager, and I quickly realized that software engineering was the perfect field for me. I have experience in Data-Structures, Algorithms, Software Development, and Data Analysis, with particular expertise in Low-level software design and device driver development. I'm always eager to learn new programming languages and technologies, and I'm constantly expanding my skill set. I have completed my Bachelors in Computer Science and Engineering from Indian Institute of Information Technology, Kota (IIIT Kota) in the year 2022. I'm passionate about solving complex problems, and I'm always looking for new challenges to push my limits. I'm looking for exciting opportunities in the software development industry and community roles in general, where I can use my skills to make a positive impact. I'm also interested in meeting other software engineers in the area, so feel free to connect with me!

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Nvidia

3 roles

Software Engineer II

Jun 2023 – Present · 2 yrs 11 mos

Software Engineer I

Jul 2022 – Jun 2023 · 11 mos

Software Engineer Intern

Jan 2022 – Jun 2022 · 5 mos

> Technologies: C/C++, Linux, Git, and Cryptography.
> Contributed to the Core Platform Software Security team by developing Trusted Applications for the Open Portable - Trusted Execution Environment (OP-TEE).
> Enhanced the Linux kernel by adding device driver support for multiple NVIDIA Intellectual Properties, including cryptography accelerators and real-time clocks, thereby strengthening the overall security of various NVIDIA products.

C (Programming Language)Linux KernelGitCryptography

Indian institute of information technology kota

Undergraduate Research Assistant

Jan 2021 – Dec 2021 · 11 mos · Jaipur · Hybrid

Projects:
1. Forecasting and Seasonal Analysis of Air Quality Index During Covid-19 Pandemic
> Mentors: Dr. Basant Agrawal and Dr. Priyanka Harjule
> Publication: Outcomes of this research are published in the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2021). Springer International Publishing, 2021.
> Technology Used: Python, Statsmodels, Scikit-learn, Pandas, NumPy
> In this project effect of lockdown and COVID-19 on Air Quality Index (AQI) at Jaipur is analysed, time series analysis of AQI using SARIMA is performed.
> Prediction of AQI levels using algorithms such as Random Forest Regression, Adaptive Boosting, Gradient Boosting, XGBoost is performed.
2. Decryption And Prediction of Personality Traits from Handwriting Analysis Using Machine Learning Algorithms
> Mentor: Dr. Ankit Sharma
> Technology Used: Python, OpenCV, Pandas, NumPy, Scikit-learn
> In this project we employed image processing algorithms for extracting handwriting features like Base Line Angle, Letter Size, Line Spacing, Slant of Letter etc. in a given Handwriting image sample.
> Than a ML model was trained using Random Forest, SVM and Adaptive Boosting for scoring the extracted features.
3. Arduino Based ECG & Heartbeat Monitoring Healthcare System
> Technology Used: Python, TensorFlow, Scikit-learn
> This project can easily plot ECG and can detect anomalies in ECG patterns recorded.
> For anomalies detection, neural network of autoencoder type was trained using TensorFlow.
4. Analysis of Effects and Relation of Various Gene Levels with Type-2 Diabetes
> Mentor: Dr. Priyanka Harjule
> Our aim was to find the features which have maximum dependency or importance with “FOLD EXPRESSION VAT BCL6” feature. Than we ranked all the features according to their importance with BCL6.