Hi, my name is
Vamshi Krishna.
Driven by curiosity, I thrive on solving complex challenges and building impactful solutions.
I bring over 3 years of experience specializing in Full-stack development, Cloud Infrastructure, Machine learning and automation. Pursuing Master's from University of North Texas
Hi there! I am Vamshi Krishna, I am a passionate and results-driven Software Developer with over three years of professional experience in Full Stack Development and Cloud Technologies. Currently pursuing a Master’s in Information Systems and Technologies at the University of North Texas (GPA: 4.0), I hold a Bachelor’s degree from IIT Ropar. My expertise lies in building scalable, efficient, and impactful software solutions, specializing in transitioning monolithic systems to microservices, optimizing backend performance, and enhancing user experiences through modern web technologies.
- 3+ Years of Professional Experience
- Proficiency in diverse range of programming languages, including Python, Java, TypeScript, JavaScript, and C++, complemented by expertise in frameworks and libraries such as ReactJS, Next.js, Spring Boot, Django, and FastAPI.
- Strong foundation in Machine Learning and Predictive Modeling, leveraging frameworks like TensorFlow and scikit-learn to create impactful solutions such as recommendation systems and sales optimization models.
- AWS Certified Developer Associate, with practical experience in cloud platforms like AWS, Google Cloud, and Kubernetes. Proficient in building and deploying containerized applications using Docker and CI/CD pipelines.
April 2022 - Dec 2022
Tata Consultancy Services
Senior Software Developer
⦿ Led a cross-functional team of 6 in developing and launching a comprehensive e-commerce solution, resulting in a 40% increase in client engagement and a 25% rise in sales within the first quarter.
⦿ Developed a recommendation model with Python and TensorFlow, achieving 90% accuracy and integrating APIs into the e-commerce platform.
⦿ Revamped deployment processes using Docker, Kubernetes, and CI/CD pipelines, reducing deployment time by 30% and achieving 96% uptime.
Oct 2020 - April 2022
Software Engineer
⦿ Pioneered the creation of the NiEOCOM project, a microservices-based, headless commerce platform for elite US-based clients like FreshThyme, Chobani, and Holiday Meals.
⦿ Implemented impactful UI enhancements using ReactJS and NextJS, boosting session duration by 20% and reducing bounce rates by 15%. Optimized state management, cutting loading times by 30%.
⦿ Designed and built 15+ RESTful APIs with Spring Boot, utilizing Java, MongoDB, Hibernate, and PostgreSQL, improving data processing efficiency by 25%.
Jan 2020 - Oct 2020
CodeUnity
Software Developer
⦿ Spearheaded the development of TS-bPASS Admin Console using ReactJS and React hooks, integrating GraphQL and RESTful APIs, resulting in a 25% reduction in data exchange latency.
⦿ Crafted Admin and User Consoles for OHR using React, integrated Redux for state management, and implemented MVC architecture, achieving a 30% improvement in page loading speed and enhanced scalability through reusable components.
May 2019 - Oct 2019
Azguard
Software Developer Intern
⦿ Implemented scalable UI components using ReactJS with SCSS, optimizing performance by 30% through efficient styling and component reuse.
⦿ Orchestrated KYC verification functionality and Redux state management, ensuring a seamless user experience and integration with GraphQL APIs for the WeInvest client’s website.
Featured Project
E-Commerce Platform for Chobani and FreshThyme
Contributed to the initial development and subsequent enhancement of Chobani and FreshThyme’s e-commerce platform, focusing on both frontend and backend systems. Enhanced the cart, product browsing, backoffice, and promotions features, delivering a responsive UI with Next.js and Material-UI that improved user interaction by 25%. Designed and optimized RESTful APIs using Spring Boot and MongoDB, streamlining backend processes and ensuring efficient data management across the platform.
- Next.js
- Material-UI
- Spring Boot
- MongoDB
- RESTful APIs
Featured Project
Personalized Product Recommendation System
Built a high-accuracy recommendation engine for an e-commerce platform using Python, TensorFlow, Pandas, and scikit-learn, achieving 90% model accuracy. Integrated the system with RESTful APIs to deliver tailored user experiences, leveraging predictive insights to enhance customer satisfaction.
- Python
- TensorFlow
- Pandas
- scikit-learn
- SQL
Other Projects
Tap on a project to learn more!
Python
I am proficient in Python and have used it extensively for backend development, data analysis, machine learning projects, and building RESTful APIs with FastAPI. I am familiar with libraries like NumPy, Pandas, Matplotlib, TensorFlow, and Scikit-learn.
Master of Science in Information Systems
University of North Texas
- Information Sysytems Development
- Information Systems Security
- Web-based Systems Development
- Enterprise Data Warehousing
- Programming for Business Analytics
- Data Visualization
- Blockchain and Cryptocurrency
Courses
2022 - 2024
GPA: 4.0
Bachelor of Technology
Indian Institute of Technology, Ropar
- Data Structures & Algorithms
- Introduction to Computing
- Probability theory and Stochastic Processes
Courses
2016 - 2020