Hi There,
I'm Tanishq Todkar
i am into
About Me
Graduate student in Computer Science at NC State, specializing in software development, cloud computing, and automation. Proficient in Python, Java, JavaScript, TypeScript, C++, and Ruby, with experience in Spring Boot, Django, Flask, and MERN Stack.
Skilled in database management (PostgreSQL, MySQL, MongoDB) and cloud solutions (AWS, Terraform, Kubernetes, Docker). Experienced in CI/CD (Jenkins, GitHub Actions), caching (Redis), and message queuing (RabbitMQ).
Built scalable APIs, facial recognition systems, and automated cloud workflows, optimizing performance and efficiency. A hackathon winner (MLH, HackMIT) and open-source contributor, passionate about solving complex problems with technology.
age: 23
phone : +1 781-456-0335
email : ttodkar@ncsu.edu
place : Raleigh,NC 27606
Python
Java
JavaScript
C++
Ruby
Spring Boot
Django
Flask
Node.js
Express.js
React.js
Bootstrap
PostgreSQL
MySQL
MongoDB
Firebase
AWS
Docker
Terraform
Jenkins
RabbitMQ
Git Actions
Git
GitHubEducation is not the learning of facts, but the training of the mind to think.
North Carolina State University | CSE
MIT-WPU,Pune | ECE
Septemeber 2024 - Present
Developed a robust backend system integrating RabbitMQ with Java to enhance asynchronous task processing. Implemented Redis caching to optimize API performance under high concurrency. Designed and secured APIs using AWS services like S3, Secrets Manager, and CloudWatch Logs for improved data safety and real-time monitoring. Applied test-driven development practices to ensure stable and reliable backend services
August 2024 - October 2024
Engineered a containerized video streaming application on AWS, leveraging Kubernetes for scalability and high availability. Automated deployment processes using CI/CD pipelines with Jenkins and GitHub Actions. Utilized Terraform to manage cloud infrastructure efficiently. Integrated observability solutions with Dynatrace, Elasticsearch, and Grafana to improve system monitoring and response times.
January 2022 - April 2023
Led the development of a web application using React and PostgreSQL, incorporating a machine learning model to automate student answer summarization. Optimized application performance with Redis caching and rate limiting for seamless user experience. Enhanced backend efficiency with asynchronous processing and Node.js clustering to support high user concurrency.
March 2022 - June 2022
Built an attendance tracking system using Java and Spring Boot, integrating facial recognition for automated record-keeping. Developed interactive dashboards in React, enabling real-time insights for product owners. Ensured system reliability by implementing unit testing with JUnit, improving code stability and maintainability.
