Sreekar Reddy Sajjala

• Minimized boundary layer flashback in a 100% hydrogen-fueled industrial gas turbine using Generative AI • Collaborated with cross-functional teams to build an AI model predicting combustion results, reaching 95% agreement with full-scale simulations • Automated Star-CCM+ combustion workflows in Python and Java, cutting runtimes 12x (hours to minutes) and speeding design iterations • Deployed two generative AI models on cloud to create novel designs, reducing flashback propensity below 5%

- Enhanced and augmented existing VBA software by integrating innovative features to boost functionality and performance. - Developed a robust, scalable application using the PyQt5 library in Python, ensuring a modern interface and efficient operation. - Demonstrated expert proficiency in optimization and software development through strategic use of VBA and Python. - Delivered a user-centric, high-performance software solution that consistently surpassed project requirements and expectations.

- Optimized MATLAB code for generating aerogel geometries using the diffusion-limited cluster aggregation method, significantly boosting computational efficiency and precision. - Executed comprehensive testing protocols to validate seamless export functionality to ABAQUS input scripts, ensuring robust integration and reliable performance.

• Delivered IT and technical support, ensuring seamless system operations and minimizing downtime • Diagnosed and resolved MacOS network connectivity issues, improving system reliability and performance • Installed and configured hardware and software, optimizing workstation efficiency and user experience

• Successfully completed 18 high-impact research projects in CAD, FEM, CFD, and FSI, demonstrating exceptional technical acumen and innovative problem-solving • Leveraged advanced software tools, including Siemens NX, Ansys, ABAQUS, COMSOL, and MATLAB, to design and simulate high-fidelity engineering models • Utilized deep expertise in CAD software to develop precise, efficient designs, consistently ensuring superior accuracy and robust functionality

• Led computational simulations of conventional and ultrasonic Direct-Chill Casting with OpenFOAM to optimize processes. • Built a custom C++ solver in OpenFOAM-v1712, demonstrating advanced programming and simulation proficiency. • Investigated thermal, momentum, and phase-fraction evolution across casting speeds and sonicator inputs; analyzed grain growth, sump depth, and microsegregation using OpenFOAM and Micress for refined material insights. • Executed creep during casting to improve prediction.

I was responsible to design a Mechanical Fastener for a flight vehicle to with stand transient stresses and random vibrational forces acting on it. A MATLAB program was designed to create an appropriate fastener based on vital parameters. A computational analysis is performed to find out stresses induced; and study on vibrational forces acting on airframe of a flight vehicle was also conducted. Validation is done by comparing computer results with analytical and experimental data.

Master-Thesis [1.0/4.0 GPA]: Generative Design of a Premixing Passage for a Hydrogen Combustor Mini-Thesis: Development of an intelligent and simulation-based model for the design evaluation of cooling channels for L-PBF. Courses: Advanced Finite Element Methods, Computational Fluid Dynamics, Advanced Software Engineering, Artificial Neural Networks in Structural Mechanics, Parallel Computing for Computational Mechanics, Fast Iterative Solvers.

Activities and societies: Team Lead - Mega ATV Championship, Electric National Karting Championship, Eco-Kart. University Fest Convener Activities and societies: Team Lead - Mega ATV Championship, Electric National Karting Championship, Eco-Kart. University Fest Convener Bachelor’s Thesis: Computational simulation of conventional and ultrasonic techniques in Direct-chill casting of Aluminum alloys. Mini project: Study of flow and alloy segregation during solidification of Aluminum alloys.