Computer Science graduate student at George Mason University with proven experience in software engineering and expertise in full-stack development. I specialize in designing scalable web applications, building intelligent machine learning solutions, and optimizing cloud-based systems for performance and reliability. From architecting backend infrastructure to developing interactive UAV sensor placement and detection tools, I deliver impactful, high-performance solutions to real-world challenges. I am seeking opportunities to leverage my skills in Python, React, AWS, and data science to drive innovation and create next-generation software systems.
Masters in Computer Science
Python, Cpp, SQL, JavaScript, HTML/CSS
React, Next, Node Js, Express, Mongoose
Fairfax, VA
Jan 2025 – Present
•Built a Python-based UAV sensor placement app with Streamlit, used by researchers to simulate and visualize 500+ optimized layouts.
•Implemented geospatial features (distance checks, protected areas, restricted zones), cutting invalid placements by 35%.
•Developed workflows to run detection probability models and generate 200+ scenario outputs as JSON/ZIP files for analysis.
•Integrated Pyomo and DGAL libraries to run prediction and optimization models, improving placement accuracy and coverage by 20%.
•Delivered automated reporting and scenario comparison dashboards, speeding decision-making on deployment strategies by 40%.
•Optimized grid computations and Python logic, reducing simulation runtime by 30% across 300+ real-world datasets.
Remote
Aug 2024 – Dec 2024
•Architected a React.js frontend with dynamic components and a Node.js/Express backend, handling product display, contact forms, and orders for 300+ daily interactions.
•Deployed the website on AWS EC2, leveraging S3 for static assets and ensuring a scalable, responsive architecture for high traffic.
•Secured the platform with SSL/TLS encryption, configured domain and DNS management, and implemented Git-based version control for maintainable code.
Hyderabad, India
May 2023 – Jun 2024
•Built backend services for a finance platform processing 10K+ daily transactions, reducing budget approval time by 25%.
•Improved Spring Boot + PostgreSQL APIs with indexing and query tuning, cutting average response times by 30%.
•Automated invoice PDF generation with reusable templates and access control, lowering monthly finance workload by 20%.
•Co-developed dashboards with caching, pagination, and visualization features, reducing backend server load by 29%.
•Delivered features in Agile sprints with CI/CD pipelines and consistent unit test coverage across multiple modules.
•Implemented role-based access control and JWT authentication across finance services, strengthening data security.
•Designed and executed database schema migrations for PostgreSQL and MongoDB, ensuring smooth transitions with zero downtime.
Kakinada, India
Jul 2022 – Apr 2023
•Built a deep RL model in TensorFlow/Keras for 4-way traffic signals, reducing wait time by 14% and stopped vehicles by 20%.
•Implemented Deep Q-Learning with reward functions to improve adaptive traffic control over fixed-timing systems.
•Designed detailed SUMO simulations with TraCI API and NETEDIT, modeling realistic urban traffic using Weibull distribution.
•Tuned critical hyperparameters and optimized training workflows, accelerating convergence and improving model stability.
•Visualized key performance improvements in delay, queue length, and rewards using Matplotlib and Pandas dashboards.
