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AI / ML ENGINEER · VIT-AP

Curious about
what intelligence
can become✳

I build thoughtful things with machine learning, physics, and a healthy amount of curiosity.

↓
01 — 04
A HUMAN, LEARNING TO
TEACH MACHINES THINGS.
MACHINE LEARNING ✳ ARTIFICIAL INTELLIGENCE ✳ DEEP LEARNING ✳ MATHEMATICS ✳ COMPUTER VISION ✳ LLM ✳ RAG ✳ GENERATIVE AI ✳ MACHINE LEARNING ✳ ARTIFICIAL INTELLIGENCE ✳ DEEP LEARNING ✳ MATHEMATICS ✳ COMPUTER VISION ✳ LLM ✳ RAG ✳ GENERATIVE AI ✳

01 / SELECTED EXPERIMENTS

Making ideas
tangible.

A few things I’ve been thinking, building, and breaking lately.

SIMULATION / 001
SPACE →
TIME ↑
∂u
∂t
↗

PHYSICS × DEEP LEARNING

Neuro-Physics Engine

01 / 03

Teaching a neural network the rules of heat flow. A physics-informed model solves the 1D heat equation using automatic differentiation and physics-based loss.

PyTorchPINNsNumerical methods
A LITTLE MORE HUMAN / 002
READING THE ROOM…
↗

COMPUTER VISION × LANGUAGE

EMOC

02 / 03

An emotion-aware conversational assistant pairing facial expression recognition with a small language model for more context-aware replies.

OpenCVTinyLlamaLangChain
MORE EXPERIMENTS ON GITHUB ↗
✳

“The interesting part is where
the equations meet the world.”

A NOTE TO SELF, MOST DAYS

02 / A LITTLE CONTEXT

Building with
one foot in science
and one in possibility.

Hey, I’m Preethi — an AI/ML undergrad at VIT-AP, constantly curious about what makes intelligent systems actually work.

I’m interested in how intelligent systems learn, reason, and interact with the world — from machine learning and computer vision to generative AI and agentic systems. I enjoy taking ideas from theory, experimenting with them in code, and figuring out how to make them work better in the real world.

↗

CURRENTLY LEARNING

B.Tech Computer Science EngineeringVIT-AP University · 2024—2028 · CGPA 8.66
A ONE-PAGE VERSION OF ME ↗

03 / THINGS IN MY TOOLBOX

Tools are verbs.

Scroll through the things I use to turn ideas into something real.

SCROLL TO FLIP ↓
01 — LANGUAGESAa

Languages

Python · Java · SQL · Git

FOUNDATIONS / 01
02 — AI / ML✳

AI / ML

Machine Learning · Deep Learning · NLP · Computer Vision · Generative AI · LLMs · RAG · AI Agents

INTELLIGENCE / 02
03 — DATA▥

Data

NumPy · Pandas · Matplotlib · scikit-learn · Data Analysis · Data Visualization · Statistics

SIGNALS / 03
04 — SYSTEMS & DATABASES⌘

Systems & Databases

MySQL · SQLite · SQL · FastAPI · REST APIs · Data Structures · Algorithms

INFRASTRUCTURE / 04
05 — MATHEMATICS∑

Mathematics

Linear Algebra · Probability · Statistics · Calculus · Optimization · Numerical Methods

FIRST PRINCIPLES / 05
06 — HARDWARE & MAKING⌁

Hardware

Arduino · Raspberry Pi · Sensors

IN THE PHYSICAL WORLD / 06
07 — TOOLS↗

Tools

Git · GitHub · VS Code · Jupyter · Ollama · LangChain · LangGraph · Streamlit

MY WORKBENCH / 07

04 / PROOF OF CURIOSITY

CERTIFICATES · AWARDS · MILESTONES

A few things
worth keeping.

Little milestones from following the questions.

KAGGLE / CERTIFICATE 01✳

Intro to
Machine Learning.

KAGGLE · COURSE CERTIFICATE

01 — 05
KAGGLE / CERTIFICATE 02✳

Intro to
Pandas.

KAGGLE · COURSE CERTIFICATE

02 — 05
HACKATHON / RECOGNITION 03✳

3rd place
— SHERADIL.

SHERADIL HACKATHON

03 — 05
HACKATHON / RECOGNITION 04✳

Participant
— MSME.

MSME HACKATHON

04 — 05
CERTIFICATE / 05✳

Elements
of AI.

ELEMENTS OF AI

05 — 05
01 / 05DRAG OR TAP TO TURN THE PAGE
✳

05 / SAY HI

Got something
in mind?

Whether it’s a project, an opportunity, or just a question — drop me a message. I’d love to hear from you.