Led the end-to-end modernization of Frictionless IT’s HaaS management application, transitioning from a traditional PHP MVC architecture to a scalable microservices architecture. Developed and deployed RESTful APIs using PHP and SQL to decouple the monolithic application into independent services, significantly enhancing scalability and maintainability.Transitioned the front-end from PHP to a React.js application, creating a more responsive and dynamic user experience. This modernization, including the integration of APEX Charts for advanced data visualization, resulted in a more robust and efficient application with improved data handling, performance, and user experience.

Assisted in designing and implementing a proprietary C++ algorithm to optimize satellite communication link budgets, resulting in improved signal quality and a reduction in interference. Successfully integrated advanced RF channel modeling techniques, streamlining operations and optimizing the use of satellite resources across multiple channels.Led the development of a full-stack data visualization and user interface module using React, PostgreSQL, Express, and Node.js. Coordinated a cross-functional team of engineers and developers, enhancing user experience and providing clients with actionable insights through intuitive data visualizations for satellite resources.

Developed and implemented a Python algorithm for Finite Element Method (FEM) analysis of non-linear crystal plasticity in metals, integrating Principal Component Analysis (PCA) to reduce costs by 2-3 orders of magnitude. Conducted hand calculations to derive and discretize the governing partial differential equations, enabling precise modeling of non-linear deformations. Developed a high-dimensional parametric space model using Python to predict mechanical properties of crystal plastic metals, enabling rapid determination of complex macro mechanical properties across varied micro-crystal plastic parameters. Implemented the Hyper-Reduction ROM (HROM) algorithm, incorporating the Discrete Empirical Interpolation Method (DEIM) and Greedy-sampling for efficient nonlinear finite element simulations applicable to a wide range of scientific problems.Relevant Technologies: Python, Machine Learning, Finite Element Simulations, Crystal Plasticity, Reduced Order Model (ROM), Discrete Empirical Interpolation Method (DEIM)

Developed and Integrated Interactive Virtual Reality Environment for Multiphysics Simulation using C++ by integrating the IMPETUS framework with Unreal Engine 4 and HTC Vive. This platform enables researchers to perform real-time, interactive multiphysics simulations, significantly enhancing the intuitive understanding of particle interactions, molecular dynamics, and volumetric data visualization, including cellular migration processes. https://youtu.be/2Kw2gEGJAdAEnhanced Intuitive Understanding of Simulations: The VR environment provided a more natural and intuitive understanding of complex particle interactions and volumetric data, enabling researchers to interact with simulations in a more meaningful way.Broadened Accessibility of Scientific Data: Enabled the 360-degree panoramic visualization and interaction with complex datasets such as MRI and confocal microscopy images in their inherent three-dimensional form, improving the accessibility and interpretation of scientific data.Developed IMPETUS – Interactive MultiPhysics Environment for Unified Simulations: Engineered a cutting-edge, object-oriented C++ framework designed for high-performance simulations of complex physical systems, particularly in the realm of cell mechanics. IMPETUS enables fully coupled inter-particle and particle-environment interactions, setting a new standard for modular and customizable simulation environments.Analyzed Neutrophil Recruitment Mechanisms: Simulated neutrophil recruitment and swarming behavior using IMPETUS, contributing to a deeper understanding of immune response mechanisms and the role of chemical signaling in cell aggregation.revealing the impact of asymmetric forces and chemotactic signaling on coordinated cell migration, with potential applications in cancer research.High Computational Efficiency: Demonstrated the framework's ability to run large-scale simulations with minimal computational overhead, making it ideal for high-fidelity modeling on HPC clusters.

Simulated and Analyzed Protein Diffusion in Red Blood Cells Using Stochastic Analysis: Collaborated on the development and implementation of a coarse-grained molecular dynamics (CGMD) model combined with stochastic analysis to simulate the lateral diffusion of band-3 proteins in both normal and defective red blood cell (RBC) membranes. Quantified the impact of membrane defects associated with hereditary spherocytosis (HS) and hereditary elliptocytosis (HE) on protein diffusion coefficients, emphasizing the critical role of cytoskeleton connectivity.Developed and Validated Coarse-Grained Molecular Dynamics Model: Engineered an advanced CGMD model to simulate sickle hemoglobin (HbS) fibers, enabling detailed analysis of their mechanical behavior and polymerization processes. Conducted simulations to investigate fiber zippering mechanisms, revealing the significant influence of Van der Waals and depletion forces in fiber interactions. This work provided key insights into the pathophysiology of sickle cell disease (SCD), with findings validated against experimental bending and torsional rigidity data.Enhanced Modeling Techniques: Introduced a refined CGMD model incorporating advanced stochastic methods, significantly improving computational efficiency by reducing degrees of freedom.Computational Tools: Leveraged high-performance computing (HPC) and Message Passing Interface (MPI) using C programming for large-scale molecular simulations, employing parallel computing and statistical mechanics methods.Data Analysis: Conducted quantitative assessments of protein diffusion, validated results against experimental diffusion coefficients, and analyzed the effects of cytoskeleton connectivity on membrane stability.

• Served as teaching assistant and grader for the courses: Mechanical Vibration, Vector Dynamics and Engineering Foundations. • Assisted students with problem solving techniques and strategies, analytically and numerically via Matlab and Simulink

Mathematical Modeling and Simulation of Crowd Dynamics in Emergency Evacuations: Designed and implemented a large-scale simulation to investigate the impact of building architecture and human behavior on emergency evacuation efficiency, with the goal of developing safer and more effective evacuation strategies. Developed and optimized a novel social-force model by integrating Agent-based modeling (ABM) and molecular dynamics (MD) using C programming, leveraging High-Performance Computing (HPC) resources. Implemented parallel computing techniques with MPI (Message Passing Interface) and advanced parallelization strategies, significantly enhancing the accuracy and performance of the simulations.Applied Data Analytics to Validate the "Faster is Slower" Phenomenon: Conducted quantitative analysis of evacuation times, congestion patterns, and pedestrian panic levels under varying architectural and behavioral parameters. Demonstrated through empirical evidence that, counterintuitively, higher individual desired speeds caused by panic can lead to increased evacuation times due to congestion. This research provided critical insights for architectural design and public safety, offering valuable recommendations for optimizing building layouts and evacuation procedures to enhance safety in emergency situations.Mathematical Techniques and Computational Tools: Newtonian equations of motion, leapfrog integrator algorithm, friction modeling, compressive forces, viscosity damping. Agent-based modeling (ABM), molecular dynamics (MD), social-force model, pedestrian dynamics. High-performance computing (HPC) for large-scale simulations, parallel computing

• Led a team of engineers and designers to completely reprogram the University websites for several departments, includes Art, Music, Dramatic Arts.

• Designed, programmed and provided maintenance to many of University of Connecticut websites through the usage of HTML, CSS, Javascript, MySQL, PHP