AI / ML STUDENT & BUILDER

NIMS UNIVERSITY JAIPUR / 2026

SAFWAAN MULLA

I BUILD
INTELLIGENT
SYSTEMS.

01 / SELECTED WORK

Built from questions,
shaped by iteration.

A selection of systems and ideas exploring how intelligence can become useful.

02

LatentSpace

Semantic Graph Analyzer

Explores relationships between concepts using embeddings, dimensionality reduction, clustering, and graph visualization.

EmbeddingsSemantic AnalysisFAISSGraph Visualization
03

Visagenix

AI Attendance System

Uses computer vision and face recognition for automated attendance, with Raspberry Pi and camera-based deployment.

Computer VisionFace RecognitionRaspberry PiOpenCV
04

Cognicare

AI Mental Wellness System

Explores a privacy-focused conversational AI approach using local language models.

Local LLMConversational AIPythonPrivacy-focused

Corelytics is live. Other projects are shown as case-study previews while their destinations are prepared.

02 / ABOUT

Curiosity with
a practical edge.

I like building at the intersection of AI, software and real-world systems. My projects usually begin with a technical question, then evolve through experimentation, debugging and iteration.

EducationACADEMIC PATH

NIMS UNIVERSITY

Jaipur, Rajasthan

B.Tech · Artificial Intelligence & Machine Learning

Current academic status2nd Year · 3rd Semester

THE INDIAN SCHOOL

Bahrain

CBSE

Current direction

Practical AI/ML systems, intelligent interfaces, and experiments that connect software to real-world systems.

Interested in

Intelligent interfaces, semantic systems, computer vision, local AI, and the space where software meets hardware.

03 / CAPABILITIES

Tools for making
ideas tangible.

01

AI / ML

  • Machine Learning
  • Generative AI
  • LLM Applications
  • Computer Vision
  • Embeddings
  • Semantic Search

02

Software

  • Python
  • Java
  • C
  • C++
  • JavaScript
  • FastAPI
  • Flask
  • MySQL
  • REST APIs
  • Git / GitHub

03

Systems

  • Raspberry Pi
  • ESP32
  • OpenCV
  • Edge AI
  • Embedded Systems

04 / EXPERIMENTS

Where the loose
threads lead.

Small explorations, half-formed hypotheses, and useful things found while looking closer.

  • 01Local LLMs
  • 02Embedding Models
  • 03FAISS
  • 04UMAP / PCA
  • 05Graph Clustering
  • 06Computer Vision
  • 07ESP32 Robotics
  • 08AI Risk Analysis

05 / CONTACT

LET'S BUILD
SOMETHING
INTERESTING.

Have a question, an idea, or a system worth exploring?