Headline

Aspiring Engineer | Embedded Systems |VLSI|& AI/ML Enthusiast | Digital Image Processing (NPTEL Certified) | Open to IT roles | Python | Web Development | Software Development | Open to Work

About

I am an enthusiastic engineering student with a strong interest in both Software and Hardware domains, particularly in Embedded Systems, Machine Learning, and real-time system development. I enjoy building practical solutions by combining programming knowledge with hardware integration. I have worked on projects involving Embedded Systems and Machine Learning, where I gained hands-on experience in system design, data processing, and implementation of real-world applications. My projects have helped me develop problem-solving skills and a strong understanding of how software interacts with hardware systems. I have also completed internship experience where I worked on improving my technical skills in software development and system-level understanding. These experiences helped me learn teamwork, project handling, and practical implementation of theoretical concepts. I am continuously learning and improving my skills in Embedded Systems, C programming, and Machine Learning, and I aim to build innovative solutions that can solve real-world problems.

Location

Tirupati

Work experience

Artificial Intelligence Intern at Edunet Foundation, Dec 2025 - Present · 8 mos, • Successfully completed the AI Careers for Women Internship Program conducted by Edunet Foundation in collaboration with APSSDC. • Gained hands-on experience in Artificial Intelligence, Machine Learning, and data-driven problem-solving techniques. • Worked on practical assignments and real-world AI use cases to develop analytical and technical skills. • Applied AI concepts to solve problem statements and improve decision-making through data analysis. • Strengthened critical thinking, communication, teamwork, and professional development skills. • Successfully completed all internship requirements and earned the Internship Certificate for outstanding participation and commitment to learning.

Machine Learning project - mental disorder prediction using machine learning based on symptoms at Edunet Foundation, Jan 2026 - Apr 2026 · 4 mos, 🧠 Problem Solved: Early detection of mental health disorders is difficult without expert consultation Symptom interpretation can be inconsistent, leading to possible misdiagnosis Manual evaluation is time-consuming and not scalable 💡 Solution Provided: Developed a Machine Learning-based system that predicts mental health conditions based on user-reported symptoms The model analyzes input symptoms and provides a preliminary prediction of possible disorders Implemented a data-driven approach to improve speed and consistency in assessment 🚀 Key Achievements: Collected and preprocessed symptom-based dataset for training Built and trained ML classification models for prediction Improved model performance through evaluation and tuning Designed a practical AI-based healthcare support system Contributed to early awareness and preliminary mental health screening 📊 Impact: Enables faster preliminary screening of mental health conditions Can assist healthcare professionals in initial assessment Supports awareness and early intervention in mental health care

Embedded Systems Based Smart Device / System Development at NPTEL, Mar 2026 - Jun 2026 · 4 mos, Tirupati, Andhra Pradesh, India, Designed and developed a working embedded system prototype Interfaced sensors with microcontroller successfully Implemented real-time data processing and control logic Improved system efficiency through automation Gained hands-on experience in hardware-software integration

Web Development Intern at ExcelR Solutions, May 2024 - Oct 2024 · 6 mos, • Developed responsive web pages using HTML, CSS, JavaScript • Built dynamic UI components and improved usability

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, Sri Padmavati Mahila Visvavidyalayam

Sai Ram Junior College