Hey there!
I'm Saurabh Nale who's totally in love with coding, building cool stuff, and diving deep into the world of technology. As a recent computer science grad, I'm all about creating awesome web applications and playing around with machine learning – basically, making computers do some pretty amazing things.
My coding journey is a mix of building full-stack web apps, creating mobile solutions, and exploring the exciting world of AI and research. I've worked on everything from warehouse management systems to drawing apps, and I'm always eager to learn something new. Whether it's building a website that looks great and works smoothly or training an AI to solve real-world problems, I'm all in.
My skills? I'm comfortable jumping between Python, Java, JavaScript, and a bunch of other technologies. Front-end, back-end, machine learning – I love mixing it all up. I'm that guy who gets excited about turning complex ideas into working software, whether it's for a startup, a research project, or just a fun personal challenge.
What drives me? The chance to create something that can make a difference, learn something new every day, and keep pushing the boundaries of what technology can do. I'm not just looking for a job – I'm looking for opportunities to grow, innovate, and make an impact. "
If you like what you see, head over to the contact section below and send me a text. I would love to hear from you!
Rajarambapu Institute Of Technology (Jan 24 - Jul 24)
Research Assistant
Sangli, India
Collaborated with Dr. V. H. Kalmani on a research project focused on applying vision transformers for the segmentation of kidney blood vessels in HIP CT scans. Developed advanced algorithms and scripts to generate precise 3D reconstructions of blood vessel networks from CT scan images, enhancing anatomical analysis capabilities by 25%. Achieved a 93.08 Dice coefficient with a novel hybrid loss function, outperforming standard segmentation metrics in the field.
Key Focus: Machine Learning, Computer Vision, Python, Tensorflow
Cognautica. (Oct 23 - Jan 24)
Computer Vision Intern
Remote
Interning at Cognautica a startup based in San Francisco, I actively contribute to the development of an AI grader system for U.S. schools, with a primary focus on refining OCR accuracy for paper PDFs. Contributed to the development of an AI-driven grading system for U.S. schools, achieving improvement in OCR accuracy for scanned paper PDFs.
Key Focus: OCR, Deep Learing, Git, AWS, In-Depth Documentation
Rajarambapu Institute of Technology (2021 - 2024)
Bachelor's Degree, Computer Science & Information Technology
Sangli, India
Cusrow Wadia Institute of Technology (2019 - 2021)
Diploma, Computer Engineering
Pune, India
Mudhoji High School (2017 - 2019)
High School, SSC
Phaltan, India
Tiny Painters
Tiny Painters is a simple, fun drawing app that lets you create colorful artwork on your Android device.
#Java #Android Studio #Google Play Store #XML
ECG AI: An intelligent System for cardiac health monitoring
ECG AI! Combining Arduino and AD8232 hardware with a custom CNN model, I built a system that analyzes ECG signals for abnormalities in real-time. This opens doors for early detection of cardiac issues, increased accessibility to monitoring, and empowering individuals with real-time feedback.
#Machine Learning #Computer Vision #Signal Processing #Python Flask
Certificate of Appreciation
The IASF 2023, an summit organised by IUCEE. Our team has won Certificate of Appreciation for the idea we have offered on Digital Pollution regarding SDG goal 7.
Google cloud skill boost
Amazon Cloud fundamentals
AWS
Machine learning specialization by Andrew ng
Coursera
Deep learning specialization by Andrew ng
Coursera
IUCEE EWB(Engineers Without Borders), RIT President
Planned sustainability-based events for Engineering students. Maintained energy and enthusiasm in fast-paced environment.
Google DSC, RIT (Vice President and AI and ML Lead)
As GDSC Vice President, I was responsible for leading and overseeing all club activities, including organizing events, workshops, and hackathons focused on Google technologies and students skill development.
