Mahesh S
Building intelligence into
real‑world systems.
AI/ML Engineer focused on Machine Learning, Deep Learning, Generative AI, Data Science, and intelligent application development.
AI/ML Engineering & Data Science student, graduated in May 2026.
I build applied machine learning and generative AI systems end to end — from data pipelines and model development to shipped applications people actually use. My background spans a BE in Artificial Intelligence & Machine Learning, hands-on internship work, and a string of independent projects across GenAI, computer vision, and data analytics.
I care most about the layer where models meet real interfaces: retrieval-augmented generation, agentic workflows, and applications that stay usable outside a notebook.
AI
Applied model development, evaluation, and deployment.
Machine Learning
Classical ML and deep learning across TensorFlow / Keras & PyTorch.
GenAI
LLMs, RAG, agentic AI with LangChain & LangGraph.
Data Science
EDA, feature engineering, and dashboarding with Power BI.
What I build with
A working stack across programming, applied AI/ML, generative AI tooling, cloud infrastructure, and data engineering.
Where I've worked
Internship experience across data science and GenAI-driven mobile development.
Beasant Technologies
Data Science & AI Intern- Developed and iterated on machine learning models as part of the data science & AI team.
- Worked across the applied ML lifecycle — from data preparation to model evaluation.
Mindmatrix
Android App Development using GenAI Intern- Built Android application features with generative AI integration.
- Applied prompt engineering and GenAI tooling within a mobile development workflow.
Selected projects
Five systems spanning generative AI, mobile applications, IoT, and data analytics. Click any project to open it.
How I build AI systems
A typical pipeline I use for GenAI applications, from user input to a grounded, retrieved response.
Certifications
Coursework and credentials supporting my AI/ML and prompt engineering practice.
Let's build something intelligent.
Open to opportunities in AI/ML, Generative AI, Data Science, and intelligent application development.