Aditya Sharma

About Aditya Sharma

I am a B.Tech student in Artificial Intelligence and Machine Learning at SIT Pune (Symbiosis Institute of Technology) with a passion for transforming raw data into intelligent, production-ready systems. My journey in technology is driven by a dual interest in high-level algorithmic problem-solving and the practical deployment of AI. As an active member of the Codex Club, I thrive in collaborative environments, tackling complex programming challenges and architectural projects that bridge the gap between academic theory and industry-scale implementation.My technical foundation is built on a deep understanding of Data Structures and Algorithms (DSA) in C++, which I apply to optimize Machine Learning and Deep Learning workflows. From engineering end-to-end data pipelines and building neural networks in TensorFlow to developing full-stack applications with Django and SQL, I focus on creating software that is as efficient as it is intelligent. I have further expanded my expertise into the Generative AI space, utilizing LangChain to build modern, context-aware applications. My versatility is reflected in a diverse project portfolio that ranges from embedded systems and game development to predictive modeling and intelligent system design.Beyond my university curriculum, I have validated my expertise through a Google Data Science Professional Certificate and specialized training from Infosys Springboard, Udemy, and Marks Lab. These experiences have instilled in me a mindset of continuous learning and a commitment to delivering measurable impact through technology. I am currently seeking internship and research opportunities where I can apply my skills in ML, NLP, and software engineering to solve real-world problems. I’m always open to connecting with fellow tech enthusiasts, researchers, and recruiters to discuss the future of AI and intelligent development.

Experience

1. Machine Learning Intern

   Prodigy Infotech

   Jul 2025 — Present · Maharashtra, IN

   Collected and cleaned housing market data, conducted exploratory data analysis, and engineered pertinent features while working as a machine learning intern at an IT services and training-focused company. I developed, trained, and assessed regression models using Python to estimate property prices based on important attributes while working on a project to predict house prices. enhanced model performance through validation and parameter tuning, and while working with mentors to comprehend end-to-end machine learning workflows, results and insights were recorded.

Education

• SIT- Symbiosis Institute of Technology

  Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning