As a seasoned machine learning expert, cloud architect, and competitive coder, I've honed my skills across multiple domains, establishing myself as a versatile force in the tech world. With a wealth of Knowledge & Experience, I bring a unique blend of expertise to every project I undertake.
Proficient in languages such as Python, Java, C#, C++, Kotlin and Dart empowers me to tackle diverse programming challenges. Leveraging frameworks like Flutter,Django,Flask, NLTk, Dash and Pandas. My proficiency in machine learning allows me to unravel complex data patterns and derive valuable insights, while my prowess as a cloud architect ensures scalable, efficient, and secure solutions. As a competitive coder, I thrive in high-pressure environments, leveraging my problem-solving skills to deliver optimal solutions under tight deadlines.
With a comprehensive skill set and a relentless drive for excellence, I'm committed to pushing the boundaries of innovation, whether it's designing cutting-edge machine learning models, architecting robust cloud solutions, or excelling in competitive coding competitions.
- 🔭🚀 I’m currently working on: AWS services like Athena and Sagemaker,Blockchain contracts and Few Research projects
- 🌱🧠 I’m currently learning: Cloud Simulation,CyberSecurity & Quantum Computing
- 💬 Ask me about: Machine Learning Algorithms & Neural Networking, Software Development Operations and Competitive Programming.
- 📫 How to reach me: Follow the links above to connect👆,or just raise a issue and join us in one of the discussions.
- ⚡🐱🏍 I’m currently open for: A new Internship & Job opportunities and Research Projects.
- QWhale & SARSAWhale Hybrid Reinforcement Learning Algorithm for Energy Efficient Optimization and Scheduling
- Understanding Quantum Processing Units (QPUs): The Future of Computing
- Balancing Energy Efficiency and Performance in Modern Processing Units: CPU, GPU, DPU, TPU, NPU, VPU, and QPU
- Comparative Analysis of TPUs and CPUs: Specialized Efficiency vs. Versatile Performance
- Liquid Neural Networks: Real-Time Adaptability and Temporal Processing Excellence
- Nuclear Fusion Dynamics: Reinforcement Learning and LLMs for Plasma Stability Optimization
- Scaling New Heights: LLaMA 3.1 405 B and H100 Tensor GPUs
- Exploring Mesop: A Comprehensive Python Web Framework Beyond Streamlit for AI and ML Applications
- Qwen/QwQ-32B vs GPT-O1 and Sonnet: What’s Different?
About Me = [
"I'm a student with a passion for Artificial Intelligence(Automation & Robotics) and a journey of steep continuous learning.",
"Proficient in languages like Python,Java,C#/C++,Kotlin,Dart,R; as well as web technologies including Full stack and MERN.",
"Dedicated to daily exploration, we uncover new algorithms and concepts, forging ahead with curiosity.",
"In a realm where every byte counts and speed reigns supreme, I'm the code whisperer, crafting efficiency into existence. 💻✨"
]
Copyright (c) 2022-2032 Aakarshit Srivastava and the PerfectCube Team
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
