Siemens DISW
Software Engineer Intern
Hello, I'm
Aspiring Sofware Engineer | Machine Learning & Data Science Enthusiast
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10 Months
Internship in Data Science and Software Engineering
B.Tech. Computer Science 2019 - 2023
M.Sc. Computer Science
2024 - Present
I am a passionate enthusiast of Data Science and Machine Learning,
driven by a relentless curiosity and a desire to advance in these
dynamic fields as opportunities arise.
In our interconnected world, the influence of data science is
profound and pervasive—from securing mobile devices to predicting
weather patterns. This widespread application has captivated my
imagination and sparked my curiosity about the potential
limitations of this technology, the challenges it may face, and
its future trajectory. I am determined to confront any obstacles
in my path, embracing every opportunity to delve deeper into this
field and broaden my understanding.
Programming and innovation have always been central to my
aspirations, and immersing myself in the world of coding has been
a dream come true. My inquisitive nature and eagerness to learn
have enabled me to explore diverse areas of knowledge and
experience.
I find immense joy in continuously learning and embracing new
experiences. I actively seek out opportunities for career growth
and personal development. My proactive mindset and effective time
management skills help me stay ahead, ensuring I make the most of
each opportunity.
With a problem-solving mindset, I tackle challenges—whether simple
or complex—with enthusiasm and dedication. I strive to find the
best solutions in every scenario, be it business, management,
planning, or any other area. Solving problems and devising
innovative solutions is not just a skill but a passion I bring to
every endeavor.
Explore My
Software Engineer Intern
Data Science Intern
Data Analytics Specialization
Algorithmic Toolbox
Problem Solving Intermediate
Intermediate
Intermediate
Basic
Intermediate
Intermediate
Intermediate
Browse Some of My
Developed an AI-driven video frame interpolation system that enhances low-FPS videos by generating intermediate frames, effectively doubling or quadrupling frame rates for smoother motion. Designed and trained deep learning models using CNN and CNN-LSTM architectures with transposed CNNs for upsampling and normalization to maintain color consistency. Implemented efficient memory management and GPU optimization for large-scale video processing. Structured the codebase with DRY and SOLID principles to ensure modularity, scalability, and maintainability.
SimpleRayTracer is a C++ project that implements a basic ray tracing engine inspired by the “Ray Tracing in One Weekend” series. It features core components such as vectors, rays, spheres, materials, and a camera system, organized across modular header files. The program renders a simple 3D scene with spheres, lighting, and reflections, producing a final image output that demonstrates realistic shading and recursion principles. Built using CMake, this project serves as a compact and educational example of fundamental ray tracing concepts.
Developed a full-stack stock price prediction system that combines Python, C++, and React. The backend uses Python to collect real-time stock data via yfinance, train an LSTM model, and export it to ONNX format for fast inference. A lightweight C++ server hosts the ONNX model and provides real-time predictions through an HTTP API. The React frontend visualizes predicted stock prices, offering an interactive, end-to-end AI-powered forecasting platform.
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