Komal Yadav

Software Engineer | MERN Stack Developer | AI/ML Engineer

Ajmer, IN.

About

A highly motivated Software Developer specializing in MERN Stack, Machine Learning, and full-stack web development, adept at building scalable, data-driven solutions. Proven ability to enhance application performance by 30% and boost user satisfaction by 35%, actively seeking challenging roles as a Software Engineer, MERN Stack Developer, or AI/ML Engineer to innovate and solve complex real-world problems.

Work

Capsitech

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Full-Stack Developer

Jodhpur, Rajasthan, India

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Summary

Currently developing and deploying robust full-stack applications, optimizing database performance, and enhancing user interfaces for improved satisfaction and efficiency.

Highlights

Engineered and deployed full-stack applications, boosting performance by 30% and accelerating delivery timelines by 20%.

Developed secure RESTful APIs and optimized MongoDB databases, reducing query time by 20%.

Designed and implemented responsive user interfaces, enhancing user satisfaction by 35% across web platforms.

IIIT Bhubaneswar

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Research Intern

Remote, , India

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Summary

Conducted research on deep learning models for medical image analysis, focusing on liver tumor segmentation and classification.

Highlights

Developed a deep learning model for precise liver tumor segmentation and classification, achieving 90% accuracy.

Executed comprehensive medical image preprocessing and fine-tuned neural architectures, significantly enhancing model performance.

Education

Indian Institute of Information Technology Vadodara (IIITV)

Gandhinagar, Gujarat, India
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Bachelor of Technology Information Technology

Courses

Data Structures & Algorithms (DSA)

Operating Systems (OS)

Computer Networks (CN)

Database Management Systems (DBMS)

Object-Oriented Programming (OOPs)

Web Technologies (Web Tech)

Software Development Life Cycle (SDLC)

Software Project Management (SPM)

Information Security

Data Analytics

Awards

Top 10% GFG Rating

GeeksforGeeks

Achieved a top 10% rating on GeeksforGeeks, demonstrating strong problem-solving and coding skills with a maximum rating of 1770+.

Myntra Hacker-Ramp WeForShe 2024 – Phase 2 Participant

Myntra

Participated in Phase 2 of the Myntra Hacker-Ramp WeForShe 2024, showcasing competitive programming and innovation skills.

Languages

English

Certificates

Advanced Training in Emerging Technologies by SAP (Code Unnati)

SAP

Skills

Methodologies

Agile, TDD, BDD.

AI & APIs

Gemini AI, Web Speech API.

Languages

Java, JavaScript, Python, HTML5, CSS3, SQL.

Frameworks

React.js, Next.js, Express, Node.js, Vite, TensorFlow, Keras, PyTorch.

Libraries

Material UI, Redux, JWT-auth, React Router, Scikit-Learn, Pandas, NumPy.

DB and Cloud

MongoDB, MySQL, Selenium, Postman, AWS, Cloudinary, Git.

Projects

Forest Fire Detection

Summary

Developed a Convolutional Neural Network (CNN) model for identifying forest fires in satellite images, integrating real-time preprocessing and data visualization.

VocalNova

Summary

Engineered an AI-powered voice assistant using the MERN Stack and Gemini API, focusing on secure authentication and enhanced user engagement features.