Adityan Nair

About Adityan Nair

Aspiring Full-Stack Software Developer | AI & Data Enthusiast | Scalable Infrastructure | System DesignCurrently focused on building a robust foundation in full stack development and infrastructure while pursuing my Master\'s in Computer Applications at MIT-WPU (Batch of 2026). I love designing, building, and optimizing applications for scalability, maintainability, and efficiency. I am driven by the desire to help people by creating applications that make their lives more convenient and easier. This ambition fuels my pursuit of challenging problems; the harder the problem, the more I crave solving it, often leading to sleepless nights dedicated to finding innovative solutions.What truly excites me is exploring the synergy between code, infrastructure, AI, and data. My recent experience as an AI Intern at TechSaksham solidified my interest in how AI can solve real-world problems. I developed an AI-powered resume screening application using Python and Streamlit, enabling automated evaluation of multiple resumes with an ATS score. I love diving into how reliable systems are built and run, especially when they incorporate intelligent components or leverage data for deeper insights. My journey has allowed me to blend traditional development and operations with an eagerness to understand how AI and data can enhance system performance and user experience.Throughout my learning, I\'ve cultivated skills across backend development (Node.js, Express, PostgreSQL), DevOps practices (Git, CI/CD, Agile), infrastructure automation, and data-driven approaches (NLP). Here are some highlights of my experience- Spearheading an AI-powered resume screening application as an AI Intern at TechSaksham, implementing NLP techniques and integrating scoring algorithms to improve candidate ranking- Engineering a full-stack AI-powered Meal Planner & Recipe Generator using Next.js and the Google Gemini API, which cut meal planning time for users by an estimated 75%. This project included personalized features like dietary filters and AI-driven meal scheduling- Experimenting with CI/CD pipelines (GitHub Actions, Jenkins) and observability tools to improve system reliability- Passionately exploring system design patterns and distributed architecture, always with an eye on how AI and data can be integrated into production-grade engineering challenges- Awarded the Generative AI for Data Science certificate from Microsoft in 2025.In short, I\'m a creator, a designer, an engineer.

Experience

1. Intern

   CLSA

   Apr 2026 — Present · Pune City, IN

Education

• SDJ International College

  Bachelors of Computer Application, Computer Science

• MIT World Peace University

  Master of Computer Applications - MCA, Computer Science