Full-Stack Developer Machine Learning

VIKAS MISHRA

916-***-**** Sacramento, CA *****.**********@*****.*** linkedin.com/in/vikas-mshra Portfolio

Frontend-focused full-stack developer with expertise in React ecosystem, specializing in performance optimization and modern state management solutions

Expert in optimizing complex web applications using cutting-edge technologies such as React Virtualization for enhanced performance, Redux for state management, and TypeScript for robust type-checking

Proficient in AWS services including S3, Lambda, Glue, Athena, and QuickSight for scalable data management and analytics EDUCATION

Master of Computer Science California State University Sacramento (GPA: 3.85)Aug 2022 - Dec 2024 Master of Computer Application Medicaps University, India (GPA: 3.4)Aug 2017 - May 2019 SKILLS

Machine Learning Scikit-learn, Keras, PyTorch, Stable Diffusion, Hugging Face Diffusers, OpenAI API, Llama-3.1-70b (LLM) Languages Java 8, Javascript (ES6), SQL, Python, TypeScript, GIT, HTML5, C++, CSS Frameworks React JS, Redux, NextJS, JDBC, Selenium, Spring Boot, TensorFlow, PyTorch, LangChain Database MongoDB, MySQL, SQLite, Neo4J, PostgreSQL, ChromaDB (Vector database) Tools REST APIs, Flask, Docker, JPA/Hibernate, Jenkins, JIRA, Confluence, Maven, SAP, Node.JS, BitBucket AWS IAM, EC2, EBS, Load Balancing & Auto scaling, S3, RDS, Athena, Glue EXPERIENCE

Office of Water Programs Frontend Developer Jun 2023 - Present

● Developed the Stormwater Analytics platform using ReactJS and Tailwind CSS, increasing user adoption by 80%

● Optimized application performance by 40% using Redux for state management, memoization (useMemo/useCallback), and lazy loading for code splitting

● Implemented infinite scrolling using react-virtualized to optimize rendering of large datasets, improving Largest Contentful Paint (LCP)

● Leveraged React Query for caching, reducing subsequent load times and enabling efficient data fetching for datasets exceeding 10,000 records

● Developed RESTful APIs using Flask-SQLAlchemy with JWT token-based authentication with refresh tokens

● Led migration from JavaScript to TypeScript with strict type checking, implementing interfaces for API responses and implementing Zod for runtime type validation, reducing type-related bugs by 30% Tata Consultancy Services Backend Developer Jun 2019 - Oct 2022

● Architected microservices using Spring Boot 3.0 and Spring Cloud Gateway for SAP IDoc Management, processing 500,000+ documents daily with high availability and fault tolerance for Jaguar Land Rover, Johnson & Johnson, Walgreens, and Pepsico, among others

● Engineered RESTful APIs using Spring Data JPA annotations and query optimization, achieving 75% faster dashboard analytics through efficient N+1 query resolution

● Improved database performance by 60% through query optimization and indexing, and JPA batch processing for large-scale SAP master data operations

● Built real-time SAP system monitoring with RabbitMQ for asynchronous message processing, which streamlined communication between services, reducing latency by 40% through custom health checks

● Implemented Eureka for service discovery, facilitating dynamic scaling and load balancing of microservices for different capabilities of SAP

● Delivered comprehensive out-of-the-box integration for SAP master data including material, vendor, and customer data, with the added flexibility to incorporate new custom master data types via configuration settings and database mapping in our application PROJECTS

Enhancing a Parallel Branch-and-Bound Algorithm for the Sequential Ordering Problem (Github)Jan 2024 - Dec 2024

● Implemented an efficient memory management technique to optimize memory consumption in a parallel branch and bound algorithm, resulting in a 43.81% reduction in the geometric mean of memory exhaustion time compared to the previous C++ implementation AWS-Driven Insights into YouTube's Viral Content Sep 2024 - Oct 2024

● Engineered an end-to-end YouTube data analysis pipeline using AWS (S3, Lambda, Glue, Athena) to process and analyze video popularity factors, culminating in insightful dashboards via QuickSight. Managed data ingestion, transformation from JSON to Parquet, and automated ETL processes to tackle scalability and data complexity challenges Social Media Application on MERN (Github)Aug 2023 - Sep 2023

● Crafted a social media platform, by leveraging the MERN stack to architect both the front-end and back-end Email Generator using LangChain, Llama-3.1, and ChromaDB (Github)Aug 2024 - Sep 2024

● Developed an email generator utilizing LangChain and Llama-3.1-70b, integrated with ChromaDB to extract and process job descriptions and match with my skills and projects to generate tailored, professional emails

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