Graduate student in Computer Engineering at the University of Arkansas, Fayetteville, with experience as a Teaching Assistant in core computing courses. Skilled in data structures, algorithms, and software development, with industry experience at Soliton Technologies developing automation frameworks in C#, LabVIEW, and Python.
Passionate about engineering, innovation, and real-world problem-solving.
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Developed an interactive visualization tool to overlay human parsing masks on real-world images for manual correction and refinement, enabling better training data quality. Leveraged segmentation classes from the GP-VTON (CVPR 2023) model to structure parsing data for general-purpose virtual try-on systems. Worked in implementing preprocessing pipelines for 80k unlabeled images and 12k labeled human parser images, achieving 56 mIoU on a 2k-image test set using a custom-trained parser model.
Developed a machine learning-based system for real-time chicken gait analysis to identify leg diseases using Meta Detectron2 pose estimation model, in collaboration with Cobb. Curated and utilized a dataset of 4,250 annotated images for training(2646) and validating(1604) the model, ensuring high accuracy and reliability in gait assessment. Achieved outstanding model performance with YOLO11n-Keypoint, reaching AP50: 99.01%, and mAP(50-95): 91.83%.
Conduct lab sessions, office hours, and provide mentorship for 50+ students, supporting their understanding of core C++ concepts and programming fundamentals. Create, review, and grade assignments and lab exercises, focusing on control flow, loops, functions, arrays, and debugging techniques.
Contributed to the teaching of the Database Management Systems course with ~180 students, assisting the professor in course planning, content delivery, grading, and assessment development. Provided guidance to students by clarifying concepts, addressing queries during office hours, and facilitating discussions to ensure achievement of course objectives.
Instructed lab sessions covering Assembly language programming and VHDL, reinforcing theoretical concepts through hands-on implementation. Guided 35+ students across 3 lab sections, providing technical support, debugging assistance, and conceptual clarification during lab hours.
I have one year of experience as a Project Engineer at Soliton technologies, focusing on MAVIS, Soliton's proprietary test automation framework for medical devices. My role included maintaining the framework, developing features for custom solutions.
As the sole developer, I delivered customized solutions using MAVIS for medical device testing, automating approximately 94% of manual test cases. This effort ensured compliance with stringent medical device industry standards and greatly enhanced the efficiency and reliability of the testing process.
I developed a C#/WPF-based GUI to integrate multiple test automation tools, including C#, Python, and LabVIEW, streamlining workflows and improving the onboarding process for new team members. This solution significantly reduced training time and costs by providing a unified, user-friendly interface for test automation activities.
I gained valuable experience during my internship at Soliton Technologies, focusing on LabVIEW training that enhanced my skills in Object-Oriented Programming (OOPs). Through the completion of multiple projects in LabVIEW and training in TestStand, I expanded my proficiency in automated testing and validation processes.
I designed a SIW antenna with a deep well cavity using ANSYS HFSS software during my internship at NIT, Trichy. This experience enriched my skills in electromagnetic simulation and antenna modeling, providing valuable insights into advanced antenna technologies and their applications.
I contributed in optimizing a pressure sensor project tailored for aircraft applications during my internship at Pricol Engineering Industries. This role deepened my understanding of sensor technology. Collaborating with industry experts provided valuable insights into aerospace engineering and project management.
I am currently pursuing Masters degree in Computer Engineering with a specialization in algorithms and databases. My academic focus includes advanced algorithms and machine learning techniques, which I am applying to build practical and efficient software solutions. I am particularly interested in leveraging my skills in software development to create impactful applications in areas such as automation, and intelligent systems.
I graduated with a CGPA of 8.55 in my undergraduate program. I have a strong foundation in programming and algorithms. Actively seeking out and participating in projects and internships, I strategically utilized these opportunities to enhance my career development.
In my higher secondary education, I achieved excellent academic results, scoring 96.2% in high school and 84.3% in my higher secondary exams, with a strong performance in challenging subjects like Physics and Mathematics.
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Throughout my academic and professional journey, I have cultivated a deep enthusiasm for learning and exploring new trends, particularly in the realm of Image Processing. Image processing has captured my interest due to its potential to manipulate and enhance images creatively and innovatively. With a solid foundation in software development, bolstered by a year of experience in framework development, I have honed my skills in designing and implementing solutions that are both practical and innovative.
My educational background in electronics and communication, where I achieved a commendable CGPA of 8.55, provided me with a robust understanding of core concepts that underpin technological advancements. During my undergraduate years, I engaged passionately in various projects that allowed me to apply theoretical knowledge to real-world scenarios. This hands-on experience was further enriched by my involvement in publishing two IEEE papers, reflecting my commitment to contributing to the academic discourse in my field.
The diversity of my experiences extends beyond academics. I have undertaken three internships across different domains, which broadened my perspective and equipped me with invaluable industrial and research experience. These internships not only deepened my technical skills but also fostered adaptability and a keen understanding of interdisciplinary collaboration.
As a problem solver by nature, I thrive on challenges that require critical thinking and innovative solutions. Colleagues and mentors have come to rely on my analytical abilities and proactive approach in tackling complex problems. I am driven by a relentless pursuit of knowledge, constantly seeking out new courses and certifications to stay abreast of emerging trends and technologies.
Beyond academics and professional pursuits, I lead a balanced life enriched by my passions. I am an avid sports enthusiast, finding joy and relaxation in playing various sports. Traveling is a cherished activity that allows me to explore diverse cultures and landscapes, broadening my worldview and sparking inspiration.
Looking ahead, I am eager to leverage my skills and experiences to make meaningful contributions in the field of Image Processing. My goal is to continue learning, innovating, and pushing the boundaries of what is possible in technology. With a firm belief in the power of continuous improvement and a passion for exploring new horizons, I am excited about the future opportunities that await.