MEHERSUNEEL MEESALA
Fairfax, VA, ***** 571-***-**** ********@***.*** linkedin.com/in/meher-suneel-meesala github.com/suneelmeesalameher PROFESSIONAL EXPERIENCE
Tata Consultancy Services Hyderabad, India: Systems Engineer Nov 2021 - Dec 2022
● Optimized identity management by programming RESTful APIs in Node.js and TypeScript with Keycloak, improving data integration efficiency and reducing processing time by 25%, saving 15 hours weekly
● Spearheaded a 20% security enhancement by developing custom Node.js packages and implementing tenant-specific token generation for authentication
● Improved REST APIs reliability by 25% through robust data validation and error handling, and boosted PostgreSQL performance by 30% with advanced querying and indexing
● Migrated backend services from Java to Node.js, improving scalability, boosting test efficiency by 15%, through streamlined code refactoring and endpoint validation
● Developed test cases with JUnit and Mockito for the web services, achieving 90% coverage, and improved API reliability by 20% through end-to-end testing and validation using SOAP UI and Postman
● During my tenure at TCS, I was promoted from Assistant Software Engineer to Systems Engineer, reflecting my contributions and ability to take on more complex responsibilities
Tata Consultancy Services Hyderabad, India: Assistant Systems Engineer Nov 2020 - Oct 2021
● Implemented DevOps practices with CI/CD pipelines and load balancing on Google Cloud APIGEE and AWS, improving deployment efficiency by 30% and enhancing microservices scalability.
● Engineered a Java Spring Boot-based component for seamless data ingestion from Mosquitto MQTT and storage in IBM's Tape Files, optimizing data retrieval speed by 30% and reducing storage costs by 20% Grepthor Software Solutions Hyderabad, India: Machine Learning Intern May 2019 - Jun 2019
● Refined a machine learning diagnostic model, achieving an 18% increase in accuracy through strategic optimization and algorithm tuning
● Conducted data preprocessing with feature selection and normalization, using TensorFlow, Scikit-learn, and Pandas for efficient model training and deployment
TECHNICAL SKILLS
Programming Languages: Python, Java, JavaScript, C, C++ Web Technologies: Typescript, NodeJS, ReactJS, Spring Framework, JSP, JSON, XML, HTML5, CSS, Bootstrap, Swagger Databases: SQL, MSSQL, RDBMS, NoSQL, PostgreSQL, MongoDB, MySQL, Microsoft SQL Server Other Skills: AWS, Google APIGEE, Scrum, Rest API skills, MVC, OAuth, GraphQL, Docker, Jenkins, Microservices architecture, Version control, Code review, Git, Splun, TensorFlow, Keras, VSCode, Agile, JIRA, Confluence, Postman, Computer architecture, Distributed Computing, Data modeling, Front-end, Back-end, Distributed storage, Software development life cycle(SDLC) EDUCATION
Masters in Computer Science Jan 2023 - Dec 2024
George Mason University, Fairfax, VA 3.53/4.00 GPA Relevant Coursework: Machine Learning, Data Mining, Software Security, Mathematics, Data structures and Algorithm Design Bachelors in Computer Science May 2016 - May 2020
Gandhi Institute of Technology and Management, Visakhapatnam, India 8.26/10.00 GPA Relevant Coursework: Data Mining, Web Development, Artificial Intelligence, Cloud Computing, Machine Learning, Database ACADEMIC PROJECTS
Generative Adversarial Network for Fashion MNIST Technology stack: Python, TensorFlow, Keras Feb 2024 - Apr 2024
● Implemented a GAN using TensorFlow and Keras to generate realistic "Shirt" images from the Fashion MNIST dataset, improving image quality by 25%
● Enhanced training efficiency by incorporating data augmentation and adjusting learning rates, reducing model convergence time by 30% over 1,000 epochs
Real-Time Chatting Application - MERN App Technology stack: MongoDb, Express, React.Js, Node.Js Sept 2023 - Dec 2023
● Worked on full stack software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
● Led a cross-functional team to develop 'Echo Threads', a secure messaging web app, enhancing user trust by 25% through advanced privacy features, including AES-GCM 256-bit encryption and Diffie-Hellman key exchange
● Spearheaded project planning, code reviews, and deployment ensuring timely delivery and exceeding user security expectations Auditing for Bias - Machine Learning Technology stack: Python, Jupyter Apr 2023 - May 2023
● Analyzed racial disparities in a COMPAS dataset-trained ML model, achieving 69-73% classifier accuracy and assessing the impact of race omission on model performance, offering insights into bias and recidivism