# Vanacharla Bhaskara > Software Engineer | Front-End Developer | Ex-Epam, Cognizant | MS Data Science @ University of New Haven | Building New Non-Invasive Neurotechnology @ Generalneuro Location: United States, United States Profile: https://flows.cv/vanacharla Hi, I'm Bhaskara Vanacharla, a Software Engineer specializing in web and mobile development. 🎓 Graduate student at University of New Haven with a Masters of Science in Computer Engineering. 📥 vbvss1999@gmail.com if you'd like to know more about my work or discuss an opportunity Open to full-time Software Engineering opportunities . 🚀 I’m passionate about using technology to solve meaningful problems and enjoy working across different parts of the stack. I want to work collaboratively with multiple innovative teams, play a part specifically in their engineering and development team, and be part of an environment that encourages progressive thinking. I always look forward to meeting new people, exchanging ideas, and making good memories. 📚My technical interests include Software Development and Machine Learning. I have gained experience in software development through building solutions for various companies and personal projects. 👨🏻‍💻Core Skills: Languages: C, Python, JavaScript, SQL, Dart, HTML, CSS Frameworks/Libraries: ReactJS, React Native, Flask, Flutter, Node.js, JUnit, PyTest, NLTK, NumPy, Matplotlib, PyTorch, Tensorflow, Scikit-Learn, Keras, OpenCV, FastAPI, TCP/IP Developer Tools/Databases: NoSQL, MongoDB, PostgreSQL, Firebase, Amazon Web Services, Google Cloud Platform (GCP), Git, GitHub, Jira, Postman, UNIX, Matlab, Linux. Concepts: Machine learning, AI, Computer Vision, Deep learning, Prompt engineering, Fine-tuning, Synthetic Data Generation, Distributed system ## Work Experience ### Front End/Software Engineer @ General Neuro Jan 2025 – Present | New Haven, Connecticut, United States • Engineered scalable full-stack e-commerce solutions using Spring Boot, Angular, NgRX State Management, and Hibernate, optimizing UI responsiveness and reducing page load time by 20%, leading to boosted customer retention. • Refined RESTful APIs for product catalogs, shopping carts, and order processing using Spring Boot and JAX-RS, leveraging AWS ALB for load balancing, S3 for static storage, ElastiCache for caching, ensuring 99.9% service uptime and seamless transactions. • Enhanced database performance in PostgreSQL and MySQL by optimizing SQL queries, indexing, and schema design, reducing query execution time by 40%, enabling real-time inventory updates and order tracking for accelerated order fulfillment speed. • Implemented Elasticsearch-driven product search, optimizing indexing, query tuning, and relevancy scoring, reducing query latency by 40%, and enhancing user experience autocomplete, synonym handling, and faceted search, delivering faster, more relevant results. • Strengthened security by integrating OAuth 2.0, JWT, and Spring Security, ensuring secure customer authentication, protecting payment transactions, and safeguarding sensitive data, ultimately enhancing user trust and compliance. • Built an authentication system with JWT and Firebase, ensuring secure user login and session management. • Formulated JUnit and Selenium test cases with Software Analysis and approaches such as Boundary Value Analysis, and Decision Trees, identifying and addressing issues in 35% of the functions. • Automated CI/CD pipelines using GitHub Actions and Docker, reducing deployment time by 40%. ### Graduate Research And Teaching Assistant @ University of New Haven Jan 2024 – Jan 2025 | West Haven, Connecticut, United States • Engineered a pandas+scikit‑learn preprocessing pipeline for 22,000 Fall 2023–2024 undergraduate records, performing data cleaning, feature encoding, normalization, and dimensionality reduction to optimize model inputs. • Developed and optimized a PyTorch neural network for university admission prediction, achieving 96.55% test accuracy, 87.59% F1 score, and 94.91% AUROC.The model leveraged MPS GPU acceleration, embedding layers for categorical features, and advanced deep learning techniques like class-weighted loss to handle imbalanced datasets, further enhancing its predictive power and model efficiency. • Performed inference on Fall 2025 admission data with a total of 12,569 applications, and the model correctly predicted 1,055 out of 1,288 deposits, achieving a recall of 81.91%, demonstrating the model’s strong ability to accurately identify admitted students and its effectiveness in real-world prediction tasks • Utilized Slate CRM as a Graduate Assistant to support GPA calculations in enrollment operations and enhance the graduate international student application process, optimizing workflows and ensuring the efficient processing and management of application data. ### Software Engineer @ Prozech Solutions LLC Jan 2024 – Jan 2024 | United States • Built and optimized responsive web applications using React.js, TypeScript, and Redux, improving UI performance and reducing page load time by 25%. • Collaborated with cross-functional teams to integrate RESTful APIs (Node.js / Spring Boot) and implement JWT-based authentication, accelerating feature delivery by 30% while maintaining secure access controls. ### Software Engineer (Mobile/Front End) @ EPAM Systems Jan 2022 – Jan 2023 | Hyderabad, Telangana, India • Refactored theAndroid and iOS cross platform code base to introduce reusability and maintainability paradigms that resulted in reducing the overall development time by 20% achieving a cost saving of $1000 annually. • Redesigned the Pizza Hut checkout page using usability testing, improving navigation and supporting localization for 10+ countries, resulting in a 15% increase in global checkout completion rates. • Implemented agile methods and sprint planning to use Jira, leading to a 75% reduction in testing issues through streamlined communication with the Quality Assurance team saving $2,875 in potential post-release bug-fix. • Applied Clean Code principles such as consistent formatting and naming conventions to refactor Android/IOS codebase, reducing technical debt by 30% and enabling reusable modules for future scalability. ### Front End/Full Stack Engineer @ Cognizant Jan 2021 – Jan 2022 | Hyderabad, Telangana, India • Developed a cybersecurity analytics dashboard using React.js, D3.js, and Node.js, improving data visualization and reducing data retrieval time by 30%, leading to a 20% increase in user engagement. • Optimized website performance and resolved backend inefficiencies using Chrome DevTools and Express.js, boosting Lighthouse performance scores by 43%. • Delivered 3 full-stack websites for external clients using React.js, Node.js, and MongoDB, achieving 100% on-time delivery and increasing satisfaction scores from 3.7/5 to 4.8/5. • Migrated a landing page codebase from JavaScript to React.js and integrated a backend API, reducing load time by 0.5 seconds and driving a 15% revenue increase from improved customer retention. • Ensured mobile responsiveness and cross-browser compatibility through usability testing and BrowserStack, optimizing UI for 92% of screen sizes across mobile, tablets, and desktops. ## Education ### Masters in Computer Engineering University of New Haven Jan 2023 – Jan 2025 ### Bachelor of Technology in Ece Jawaharlal Nehru Technological University Hyderabad (JNTUH) Jan 2018 – Jan 2022 ## Contact & Social - LinkedIn: https://linkedin.com/in/vanacharla-bhaskara-226740169 - Website: https://bhaskara-portfolio.netlify.app --- Source: https://flows.cv/vanacharla JSON Resume: https://flows.cv/vanacharla/resume.json Last updated: 2026-04-01