
Computer Science Graduate student with 3+ years of experience in Full Stack Web Development, along with a strong foundation in C++ gained from competitive problem solving. I specialize in optimizing and scaling complex systems and am known for my exceptional problem-solving skills.
6 years of experience
3 years of experience
3 years of experience
🏆 Received Best Employee Award and Team Player Award at Kuvera.
🥇 Awarded first place for the best capstone project in the MSCS program at the University at Buffalo.
🎉 Received the prestigious Knight Badge for ranking within the Top 5% of Global 🌍 contestants in LeetCode for my exceptional problem-solving skills.
🌟 Ranked in the Top 0.7% of 1.2 million students in the 2016 IIT JEE Advanced exam.
🎓 Merit Cum Means Scholarship at IIT Dharwad.
👑 Spearheading the development of a patented full-stack blockchain application from scratch, integrating advanced timestamping features. These innovations enable the introduction of NFX (Non-Fungible Signature), a lightweight alternative to NFTs, ensuring the authenticity and ownership of digital items.
🧑⚖️ Developed an auction platform, similar to eBay, to facilitate the buying and selling of cannabis products among cultivators, processors, and dispensaries in New York State.
🌟 Led the backend development of US stocks and EPF (akin to 401(k) in the USA) products, and optimized complex database queries, resulting in a 99.87% decrease in job execution time, from 12 hours to just 15 minutes.
🚀 Reduced API calls to our data partner for retrieving US stocks' historical prices by 90%, resulting in a 2-fold decrease in server load and improved system performance.
⏱️ Optimized and scaled up the EPF legacy code using AWS Lambdas and SQS, reducing transaction retrieval time by 99%, from 6 hours to just 5 minutes..
🤝 Collaborated to successfully develop a multi-tenancy architecture enabling Amazon India customers to invest in fixed deposits and mutual funds through Kuvera, which resulted in a remarkable 150% increase in the user base.
👨💻 Developed a comprehensive school/college management software with streamlined administrative tasks, managing admissions, transportation, announcements, exams, grading, and more.
🛠 Built a machine that identifies areca nuts based on their colour. Includes dataset creation, foreground extraction, communication between the Raspberry Pi and the Arduino and classification using machine learning algorithms such as Convolutional Neural Networks, Bayes classifier and Support Vector Machine.