Map mark I · AI/ML engineer · GSSoC 2026 selected contributor

Mahesh Reddy charts machine learning systems from rough idea to working artifact.

B.Tech CSE - Artificial Intelligence student at Parul University, expected May 2027. I build scratch ML, deep learning, NLP, computer vision, research artifacts, and production-style AI applications with visible proof of the route taken.

Explorer's Folio
Mahesh Reddy
0 public repositories
0 research papers
GSSoC'26 selected contributor
Customer AI latest intelligence build
Scratch ML Customer Intelligence TensorFlow NLP Computer Vision Open Source Research Writing REST APIs Model Dashboards
Overview route marks

Only the map legend is shown here. The deeper records live on their own pages.

This front page is a quick orientation layer, so visitors can choose the route they want instead of reading every detail at once.

I

Project Route

Selected AI/ML builds

Customer Intelligence, Student Risk Portal, Sign Language Detection, F1 Pit Prediction, myMLlib, and more. More
II

Expertise Route

Technical strengths

Machine learning foundations, scratch implementations, deep learning, NLP, delivery, and open-source workflow. More
III

Research Route

Papers and evidence

AI Companion theoretical framework, breast cancer detection analysis, and GSSoC contribution evidence. More
IV

Correspondence Route

Collaborate or hire

Remote internships, project collaboration, AI/ML engineering opportunities, and research conversations. More
Latest marked route

Customer Intelligence System sits at the newest edge of the map.

A customer segmentation and recommendation intelligence system using RFM features, clustering, neural embeddings, PCA/t-SNE visuals, and business-readable outputs.

More

GSSoC'26

Selected open-source contributor

Includes merged preprocessing work for Disease-prediction and ML training pipeline contribution work for AegisAI Guard Safety Prediction.