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Python
SQL
C++
Computer Science Engineer · Jaipur, India
Building the intelligence behind what’s next.
I’m Akshay — a computer science student building intelligent systems, ML models, deep learning pipelines, AutoML tools, and interactive data products that turn raw information into useful decisions.
Live neural field
input → model → insight
System status: online
nodes: 106 · latency: low
Scroll to inspect the system
01 / Profile
Driven by data, defined by code.
Turning complex inputs into
clear, useful outcomes.
I’m a Computer Science Engineering student at Arya College of Engineering, Jaipur, with a growing foundation in machine learning, deep learning, explainable AI, computer vision, and data structures.
My work moves across the full pipeline: cleaning data, understanding patterns, training models, explaining predictions, and packaging the result inside an interface people can actually use.
I’m actively looking for internships, collaborations, and opportunities where I can solve real problems while continuing to sharpen my technical and analytical thinking.
Data Science & ML
Scikit-Learn
XGBoost
LightGBM
CatBoost
AutoML
SHAP
EDA
Deep Learning & CV
TensorFlow
Keras
LSTM
OpenCV
MediaPipe
Tools & Frameworks
Streamlit
Pandas
NumPy
Plotly
SQLite
Git
DSA
0
LeetCode problems solved
0
+
End-to-end AI projects
SIH
Smart India Hackathon team leader
2028
Expected B.Tech graduation
02 / Selected work
Things I’ve built with purpose.
A collection of applied projects across data science, deep learning, computer vision, recommendation systems, and explainable AI.
01
Featured system · AutoML platform
InsightAI — Data Science Studio
An end-to-end data science platform for dataset cleaning, exploratory analysis, feature engineering, AutoML, model comparison, prediction pipelines, business intelligence, and SHAP-powered model interpretation.
02
Deep learning · NLP
AI Quote Generator
A motivational quote generator using an LSTM model trained on custom data, with preprocessing, tokenization, vocabulary building, sequence generation, and a live Streamlit interface.
03
Computer vision · Real time
AI Gesture Brightness Control
A real-time computer vision tool that uses hand tracking, thumb-index distance detection, and gesture recognition to control screen brightness smoothly through a webcam.
04
Machine learning · Recommendation
Domain Recommendation System
An ML-powered career guidance application that analyzes coding, math, creativity, and communication inputs to recommend a suitable technology domain.
CODE
DATA
AI
YOU
03 / Capabilities
From raw data to real decisions.
Operating layer
01 — Build
I connect models, interfaces, and the decisions around them.
My strongest work sits at the intersection of machine learning engineering and product thinking: make the model useful, make its behavior understandable, and make the final experience easy to use.
Core stack
02 — Tools
Technical building blocks.
Python
SQL
TensorFlow
Scikit-Learn
OpenCV
SHAP
Pandas
Streamlit
Plotly
Git
Working principle
03 — Explain
Make intelligence visible.
Explainability matters because a prediction becomes more useful when people can understand the signal behind it.
04 / Proof of work
Small milestones, real momentum.
⌁
106
Problems solved
Consistent DSA practice across arrays, trees, dynamic programming, backtracking, and more.
✦
SIH
Team leadership
Led a student team while developing technical solutions under demanding hackathon deadlines.
◉
04+
Deployed experiments
Built projects across AI, deep learning, computer vision, recommendation systems, and AutoML.
05 / Education
Building the foundation.
Academic timeline
2024 — 2028 · EXPECTED
B.Tech — Computer Science Engineering
Arya College of Engineering
Jaipur, Rajasthan, India
Let’s build what matters.
Open to internships, collaborations, and learning opportunities. If you have a meaningful problem, I’d like to hear about it.