Shreyank K
About Candidate
Curiosity has always been at the center of my journey in technology. I started with programming in Python, R, and SQL, and gradually expanded into areas like C#, NoSQL databases, and even CUDA programming. Along the way, I discovered that I enjoy exploring both sides of computing — writing efficient code as well as understanding how CPUs and GPUs actually work under the hood.
My learning has given me exposure to AI/ML basics, data frameworks such as Pandas, database concepts, and cloud fundamentals with Google Cloud. At the same time, I’ve developed an interest in GPU/CPU architecture, tensor cores, and performance optimization — blending theory with hands-on curiosity.
Right now, I’m focused on strengthening my core skills in programming and data, while keeping an eye on opportunities where software and hardware meet. Whether it’s solving data problems, building scalable applications, or learning the finer details of system architecture, I bring a mindset of continuous learning and adaptability.
I’m open to opportunities in data, AI/ML, or hardware-software integration roles where I can contribute, grow, and keep pushing the boundaries of what I learn.