Hi, I'm
Aditya Singh
Software Engineer
Building, debugging, and scaling software with AI in the loop turning messy problems into clean, working solutions.
About
I am a Computer Science undergraduate with hands-on industry experience in full-stack and backend development, focused on building scalable, production-ready applications and APIs. Through internships and projects, I have worked across modern web stacks and cloud infrastructure, contributing to performance optimization, deployment automation, and modular application design. My work blends strong fundamentals in data structures, algorithms, and system design with practical expertise in technologies such as Next.js, Node.js, React, Docker, AWS, and relational and NoSQL databases.
Alongside software engineering, I bring experience in applied machine learning, where I have developed classification and segmentation models, performed large-scale data preprocessing, and translated analytical outputs into actionable insights and dashboards. I enjoy solving real-world problems by combining clean architecture, efficient backend systems, and user-focused interfaces, and I am actively seeking opportunities to contribute as a Software Engineer while continuing to grow in scalable systems, full-stack development, and intelligent applications.
Experience
Full-Stack Intern · giftEZ
- Architected and deployed the company website using Next.js, improving platform scalability.
- Set up AWS cloud infra and containerized services with Docker for faster and reliable deployment.
- Optimized image load time using Next.js Image Component, reducing page load time by 35-45%.
- Built reusable and modular UI components, reducing feature development time by 20%.
- Integrated WhatsApp automation via Interakt API, increasing customer engagement and reducing support response time by 30%.
- Improved development productivity and documentation efficiency and accelerated delivery.
AI/ML Intern · Labmentix
- Built CNN models using PyTorch/TensorFlow for brain MRI and fish classification (90%+ accuracy).
- Performed EDA, data cleaning, preprocessing on 50k+ records (20-30% ML model performance improvement).
- Developed customer segmentation and credit score models.
- Created Tableau dashboards integrating ML insights (30% reduction in reporting time).
Projects
Web Data Extraction System
January 2026Developed an automated web data extraction system that collects, processes, and generates structured insights. Built using Playwright, BeautifulSoup, and Tesseract OCR to collect data from dynamic websites, tables, and images. Integrated OpenAI LLM via prompt engineering to generate structured AI-powered HTML reports.
PythonPlaywrightBeautifulSoupTesseract OCROpenAI API
Shopper Customer Classification
August 2025Developed a customer segmentation and product recommendation system using clustering. Implemented a system using RFM analysis and K-Means clustering on 10k+ transactions. Built a collaborative filtering recommendation engine, improving personalized product suggestions by 30%+.
PythonScikit-learnStreamlitRFM Analysis
RESTful API and CRUD Operations
September 2024A backend application enabling secure user authentication and task management through RESTful services. Developed modular controller and routing architecture for maintainability, scalability, and separation of concerns in API logic. Applied JSON-based data handling and endpoint validation to support API responses for client-side applications.
Node.jsMongoDBExpress.jsJWT
Skills
Profiles
Certification
- Oracle AI Vector Search Certified ProfessionalOracle University · 2025
- Nvidia Deep Learning FundamentalsNvidia · 2025
- Deloitte Australia Data AnalyticsDeloitte · 2025
- Data Science with PythonInfosys Springboard · 2025
- Cisco Introduction to CyberSecurityCisco · 2024