| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE Buffalo, NYEMAIL AVAILABLE LinkedinEDUCATIONMS, Computer Science Engineering, University at Buffalo, The State University of New York Dec 2023 Relevant Coursework: Algorithm and Analysis, Data Models and Query Language, Data Intensive Computing. BS, Computer Science Engineering, Vignan University Aug 2016 - Sep 2020 Relevant Coursework: Data Structures & Algorithm, Statistics, Database Management Systems. SKILLSTechnical Skills Python, Java, Javascript, SQL, R, MATLAB, HTML, CSS. Tools & Frameworks React, NodeJS, MySQL, AWS, MongoDB, Git, Power BI, Kubernetes, Docker. INTERNSHIP EXPERIENCESoftware Engineer - Stock Price Data Visualization Dec 2021 Company Name JPMorgan Chase & Co.Job Description Led the development of a stock price data interface Leveraging Python, Git, and Agile methodologies to seamlessly integrate financial data feeds and ensure real-time accuracy. Developed and optimized responsive web apps with React, Typescript, and Webpack, ensuring fast load times and efficient data rendering. Designed and implemented interactive charts using the Perspective codebase, integrating with RESTful APIs for dynamic data updates. Volunteered to open-source projects including Perspective on GitHub, collaborating with global developers and participating in code reviews.PROJECTSAmazon Clone Web Application {ReactJS, HTML, CSS, Redux, Firebase} Engineered a full-stack e-commerce platform Utilizing React.js, Redux, and Firebase. Performed MVC architecture, user authentication, real-time database interactions with Firestore, and image storage via Firebase Storage. Incorporated Stripe API for secure payment processing, executed error handling, and deployed application on Firebase Hosting, ensuring CDN optimization for scalability and global accessibility. Topic-Based Empathetic Chatbot {Python, GPT-2, NLP } Led the baseline architecture and development of a chatbot with Python, GPT-2, and TensorFlow. Spearheaded regular communication sessions with stakeholders to gather requirements, ensuring alignment with project goals. Presented technical solutions, demonstrating clear communication and leadership. Championed the use of fine-tuned GPT-2 models, tokenization, and other NLP techniques, achieving contextually relevant and empathetic responses. Fostered a collaborative environment, working closely with a cross-functional team. Guided the team in training the bot on diverse datasets, including open-domain chats and empathetic discussions, using supervised learning. Demonstrated teamwork and leadership as we collectively evaluated and improved performance metrics such as BERT, BLEU, and BLEURT scores.CERTIFICATIONS Google Data Analytics Certificate |
