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Software Engineer with less than a year in Full-Stack Development and AI/ML.
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Assessing your cultural and operational fit
A motivated Computer Science graduate with strong skills in full-stack development and programming, seeking an entry-level position to apply my technical knowledge and problem-solving abilities. I aim to contribute to impactful, real-time projects, build scalable solutions, and grow in a collaborative environment that values continuous learning. Known for being a hard-working and responsible individual, I have demonstrated the ability to adapt quickly and consistently deliver quality results, as evidenced by academic projects and internship contributions.
Narsimha Reddy Engineering College
B.Tech · Computer Science and Engineering
November 1, 2020 – May 1, 2024
Resonance Junior College
Intermediate · M.P.C (Mathematics, Physics, Chemistry)
March 1, 2018 – March 1, 2020
Value Laden
Software Engineer Intern
January 1, 2024 – March 1, 2024
India
E-commerce Web Apllication
January 1, 2026 – Present
This E-commerce Web Application is built using React.js for a dynamic and responsive front-end and Node.js with Express.js for efficient back-end services. MongoDB is used as the database to store product, user, and order details. The interface is styled using modern CSS for a clean, user-friendly shopping experience. Modular coding, routing, and component-based design ensure scalability and maintainability. The app follows a MERN stack architecture, separating concerns between front-end (React) and back-end (Node/Express). RESTful APIs are used to handle data flow between the client and MongoDB database.
RNN AND LSTM Networks for risk prediction of DYSLIPEDIMIA in steel and ironworkers
January 1, 2026 – Present
This involves predicting the risk of dyslipidemia among iron and steel workers using RNN and LSTM algorithms to help eliminate, and research focuses on combining AI and Big Data for disease risk prediction. This research aims to predict the risk of dyslipidemia in iron and steelworkers using RNN and LSTM algorithms to aid in eliminating the disease. Experimental results showed that the prediction effect of LSTM is significantly better than that of traditional RNN network, with an accuracy of more than 95%. Operating Systems: Windows, Linux.Tools used are Python IDLE 3.7 version and Anaconda 3.7 (or) Jupiter.
View ProjectAI-POWERED VIRTUAL ASSISTANT FOR HEALTH CARE
January 1, 2026 – Present
A Virtual Assistant Healthcare is a software program, or an application designed to help people manage their health and well-being using digital technology. Using API and Google Generative.ai for AI in health care. This approach enables early detection of potential health issues, facilitating timely intervention and better health outcomes. By offering symptom checks, educational resources, and personalized health advice, virtual assistants can play a pivotal role in preventive healthcare. The future of medical care chatbots is full of promise, fueled by advancements in modern technology. Virtual assistants will play a crucial role in delivering personalized and efficient healthcare support, thanks to improvements in machine learning and natural language processing. Tools Used: Python, Flask, Google Generative.ai. Operating system: Windows.
View ProjectCertificate of Cloud Computing A-Grade under Honeywell Student Empowerment Program Amazon Web Server (AWS)
ICT ACADEMY
June 1, 2026 – Present
Certificate of Cybersecurity Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
Python Programming
VALUE LADEN
June 1, 2026 – Present
MERN Stack Development Course
Vector India
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in full-stack web development (E-commerce), machine learning (RNN/LSTM for health risk prediction), and AI-powered virtual assistants for healthcare. This breadth of interest, coupled with an internship in a relevant field, suggests an adaptable individual who could fit into a team that values continuous learning and diverse problem-solving. The focus on healthcare-related AI projects also indicates a potential alignment with roles that have a social impact or require domain-specific application of technology.
Soft Skills & Operational Fit
The candidate's resume highlights 'Multitasking, Quick learner, Time Management, Leadership' as hobbies, suggesting an awareness of important soft skills. The internship experience, though brief, indicates an ability to contribute to real-world projects and work with healthcare systems, which implies a degree of operational fit. However, without specific behavioral assessment data, a deeper evaluation of operational fit and soft skills is limited.