Sreekar Gundumalla

I am a Chemical Engineer with an M.Tech from IIT Kharagpur and over three years of industrial experience at Tata Steel Limited, focused on process energy, emissions, and waste-heat recovery. I combine fundamentals with data-driven modeling to deliver measurable operational improvements.

At Tata Steel I led cross-site technical solutions for waste heat recovery, coke oven by-product plants, biological oxygen dephenolization, and zero liquid discharge systems, delivering projects that improved yields and reduced emissions. I implemented a fixed-ammonia prediction model with 97% accuracy and integrated it into real-time caustic dosing.

My work blends process simulation (ASPEN), CFD (ANSYS Fluent), and machine learning/data analysis in Python to identify inefficiencies and propose engineering fixes — for example, improving BTX yield by 25% and executing conveyor image-based ore sizing solutions. I am currently leading a sinter-cooler WHR project projected to save ₹9.5 Cr annually.

I contribute academically and professionally as a teaching assistant and conference organizer, and I pursue endurance sports and outdoor challenges that reflect my persistence and discipline. I seek roles where I can apply process engineering, modeling, and optimization to scale operational impact.