Geeta Reemoh

Developed a frontend interface to control Analog-to-Digital Converters (ADCs) using Vue.js, JavaScript, HTML5, and Bootstrap 5, with Pinia for state management. Built backend REST API microservices using Java, Spring Boot, and Node.js for ADC configuration and real time data processing. Implemented WebSocket connections between ADC hardware and frontend. Optimized PostgreSQL database schemas to store ADC configurations, sensor data, and user settings. Configured Nginx and Apache web servers for producti

Developed frontend interface for ADC control using Vue.js, JavaScript, and Bootstrap 5 with Pinia state store. Built backend REST API microservices using Python, Spring Boot, and Node.js for real-time data processing. Implemented WebSocket connections between ADC hardware and frontend. Implemented file handling in Base64 with JSON parsing and data serialization via REST API.

Implemented MCMC algorithms with Metropolis Hastings and Affine Invariant Ensemble Samplers for probabilistic parameter estimation. Built Bayesian inference pipelines coupling FEM forward models with likelihood-based optimization. Analyzed posterior distributions, convergence behavior, and error metrics for model validation.

Implemented Markov Chain Monte Carlo (MCMC) algorithms with Metropolis Hastings and Affine Invariant Ensemble Samplers for probabilistic parameter estimation. Built Bayesian inference pipelines coupling numerical forward models (FEM) with likelihood based optimization for inverse problems. Analyzed posterior distributions, convergence behavior, and error metrics for model validation. Created comprehensive documentation enabling knowledge transfer and reproducible research. Worked closely with a PhD rese

Optimized asynchronous backend workflows using Node.js, reducing end-to-end request latency and improving system throughput. Re-architected backend services with a focus on scalability, modularity, and maintainability, supporting future data-intensive features using Pinia. Built data aware administrative tools using Django to support system monitoring and content management.

Performed CFD analysis of external flow over wing flap prototypes in ANSYS Workbench with a mass flux residual convergence of 10e−9. Attained optimal aerodynamic parameters between 50- 80 m/s by evaluating Lift-to-Drag Ratio and Moment Coefficient relative to Angle of Attack. Awarded a patent for developing a feature on wing flap to enhance aerodynamic efficiency. Engineered nonlinear pressure dynamics models via trigonometric regression.

Studied numerical analysis on five aerospace component devices based on American Society of Mechanical Engineers standards. Performed detailed numerical analysis on a U-shaped duct with a venturi-meter connected to the exit of a Ramjet missile intake placed inside a wind tunnel operating at Mach 2.31. Designed a Throat-Tap Nozzle with an accuracy of ±0.2% for mass flow rate measurement.