Hi, I'm Samarth Gupta
Software Engineer
Passionate about building innovative solutions. Currently working at Optmyzr.
About Me
I'm a Software Development Engineer with expertise in building modern web applications and AI-powered solutions. Currently working at Optmyzr, I lead Generative AI initiatives and develop tools that enhance digital marketing workflows.
My technical journey spans frontend and backend development, with a focus on creating intuitive user experiences and robust architectures. I'm passionate about leveraging cutting-edge technologies to solve complex problems.

Work Experience
Software Development Engineer
- Led implementation of Generative AI initiatives with Sidekick chatbot, enabling users to query account data and providing AI-powered ad text suggestions.
- Enhanced Budget Trackers with comprehensive logging and redesigned UI/UX to consolidate multi-account management into a single intuitive interface.
- Developed Magic Quadrants tool as the company's first Labs project, receiving high user appreciation and earning 2nd runner-up in the company hackathon.
- Mentored junior developers and interns while contributing to core platform features and strategic initiatives.
Technologies:
Software Development Engineer Intern
- Contributed to Smart Exclusions automation tool, enabling automated exclusion of underperforming placements from advertising accounts.
- Implemented spell check functionality in the Ad Text Optimization RSA tool, significantly improving user experience.
- Redesigned the Hatquest webapp and marketing site, enhancing user experience through improved navigation and visual consistency.
Technologies:
Skills & Technologies
Programming Languages
Frontend Technologies
Backend Technologies
Mobile Development
Databases & Storage
Tools & Workflows
Personal Projects

Meme's Magic
Social Media Android App
Developed a feature-rich social media platform for meme enthusiasts with real-time messaging using WebSockets and push notifications via Firebase Cloud Messaging. Built with Kotlin, Jetpack Compose for UI, Ktor for backend, and AWS S3 for media storage.

Music Genre Classification
Techniques Analysis
Analyzed various machine learning algorithms to classify music genres based on audio features extracted using Python libraries. Compared multiple classification models including Random Forest, SVM, and Neural Networks with detailed result visualization.
Education
Lovely Professional University
B.Tech in Computer Science
CGPA: 8.9
Govt. Sen. Sec. School, Muktsar
Class XII (PCM)
Percentage: 97.1%