Developed On-Chain SmartContracts and Algorithms in Rust, Javascript, Typescript for creating new tokens, minting new tokens, for Staking, for swapping tokens and for detecting arbitrages environment where one can act as an arbitrator across token pools.
Created SolanaPay with QR codes for transactions by attending Rust bootcamp and gained experience in programming algorithms in Rust.
Worked on Linux Kernel Programming Projects: “SpinLocks”(Shared Memory – Dining Philosopher’s problem), Mutex Locks, Semaphores, "Build Scheduler" (Multi-threading functionality), "Build File System Module" (with added modules using mount, insmod) & Bash Scripting in C/C++.
Worked on programming Kernel and User-space access - by building a new scheduler class & using "SYSCALL", preemption & priority-access logic - to decrease the runtime of an application on hardware in Embedded C/C++ using VMware Virtualization.
Developed a SYSCALL to copy "Page Tables" (Indexing Global Address Space) of a user process to override the memory when required, and also worked on “IDLE/CONNECT Load Balancing” for a customized application following access requirements using Hypervisors.
Researched various kinds of security threats/vulnerabilities in the DeFi Blockchain Network
Applications. Studied and scrutinized Ethereum's open source code written in Golang and Solidity
languages. Project secured a spot among Top3 and got awarded $1000 worth of CryptoCurrency.
Simulated False Friends Eclipse Attack. Analyzed, Devised and Presented a new AI Call-flow/Algorithm productively mitigating and reducing vulnerabilities and impacts of Eclipse Attacks in the BlockChain Smart Contract Applications.
Managed and Conducted scrum meetings to discuss about advancements throughout the Challenge.
With BootStrap implementation, Built multiple websites ranging from Twitter, IMDB to Indian Constitution using Flask, JQuery, HTML, CSS
Planning to release "Indian Constitution Web page" to the public so that-Users can find the releavant information with just One Click
Reinforcement Learning, DL Projects
Course Projects
Achievements:
Implemented various papers related to RL agents in Python like Rmax, Q-learning, Double Q Neural Networks, Q-NN
Implemented couple of Deep learning Research papers pertaing to "Training with Database Querying Architecture" and "NLP"
Some of the things are made Open Source in my GitHub. Check out my Github page
Robotics Coursework
Course Projects
Achievements:
Implemented Bug-1, Bug-2, Tangent Bug Algorithms in Python
Implemented and scruitinized the performance of EKM-SLAM and Probability Methods in detecting the location og Robot Accurately.
Activity Recorder
Mobile Application
Achievements:
Through Application, we can manually record the Event/Activity and Tick the Box once it is completed. We can as well delete the event/activity which was added before.