π Hi ! I’m Siddharth Chillale
- 🐃 I completed my Masters in Computer Science at University at Buffalo.
- 📷 My topics of interest(but not limited to) are
- Server side development
- Cloud Engineering
- Low-level software systems
- Computer Graphics and 3D rendering
I love reading books, programming, and books on programming. I also draw, paint and admire art of any kind. I play Table Tennis, Badminton and I like to think I’m good at it :p! Curious, tenacious and persistent are some adjectives that define me. I constantly try to expand my world view by seeking out new and fresh experiences. Ping me on any of my social to chat with me π!!
Contact me on
π Latest Blog Posts
- Journey of my personal website
- Ray Tracing in One Weekend
- Rendering Pipeline of Unreal Engine
- Ray Tracing: The Next Week
- Other Blogs
📚 What I’m reading currently
- Soft skills: The Software Developer’s Life Manual - John Sonmez
- Architecture of Consoles - https://www.copetti.org/writings/consoles/
TIMELINE
2021-2023
- Masters in Computer Science, University at Buffalo, Buffalo, NY GPA - 3.4/4.0
- Backend Web Developer at University at Buffalo
2017β2021
B Tech, Department of Computer Science, Indian Institute of Information Technology, Tiruchirappalli, Tamil Nadu, India CGPA- 8/8/10
Teaching Assistant at ShiP.py
Hosted HacktoberFest Event at Indian Institute of Information Technology.
Frontend Developer at Xungry
2017
- Intermediate, Rajiv Gandhi School of e-learning, Pune, Maharashtra, India.
2015
- Matriculation, Mona School,Maharashtra, India.
CERTIFICATIONS
- AWS Certified Cloud Practitioner (CLF) - Q4B80MS2V1VE14S9
- July 2023-July 2026
Minor Certifications
Mastering C++ - LinkedIn
- Standard Template Library
- Test-Driven Development in C++
- Parallel and Concurrent Programming
- Advanced Topics in C++ (lambdas, rvalue-lvalue references, move semantics)
Deep Learning Specialisation - Andrew Ng
- Issuing Organisation - Coursera | Deeplearning.ai
- Issue Date - May 2020
- Credential ID - P5R349GJHTFX
- Machine Learning - Andrew Ng
- Issuing Organisation - Coursera | Stanford
- Issue Date - Jan 2020
- Credential ID - SFMCHP7F6W9C
- Probability and Statistics
- Issuing Organisation - Coursera | University of London
- Issue Date - ‘Apr 2020’
- Credential ID - 74M4UJXAGWA2