Hello!

I'm Aditya Suhane



MERN Full Stack & AI/ML Developer

My Works

Name: Aditya Suhane

Job Role: Software Engineering Intern

Experience: 2 Months (Internship)

Address: Jabalpur, India

Skills

MERN Stack (MongoDB, Express.js, React, Node.js) 90%
AI/ML (TensorFlow, Keras, Scikit-learn) 85%
NLP & LLMs (BERT, Transformers) 80%
TypeScript & JavaScript 85%
DevOps (AWS, Azure, Docker, Kubernetes) 80%
Data Structures & Algorithms 85%
Databases (MySQL, MongoDB, SQLite) 90%
BI Tools (Power BI, Tableau, Looker) 85%

About

About Me

Hello! I'm Aditya Suhane, a B.Tech student specializing in Computer Science and Data Science (CGPA: 7.81), graduating in 2026 from Gyan Ganga Institute of Technology and Sciences. I’m a passionate MERN Full Stack developer with expertise in MongoDB, Express.js, React, and Node.js, alongside proficiency in AI/ML using TensorFlow, Keras, and Scikit-learn, with a focus on NLP and LLMs (e.g., BERT). I’ve built scalable web applications using modern JavaScript frameworks (React, TypeScript) and backend systems with RESTful APIs. My experience includes a Software Engineering Internship at Sky Scavenger (Furoge), where I designed microservices and processed large datasets. I’ve achieved notable ranks in TCS CodeVita, CodeChef, Google Data Analysis Program, and Smart India Hackathon, and I founded Algovortex, a coding club to foster technical skills.

  • Profile: MERN Full Stack & AI/ML Developer
  • Education: Bachelor of Technology (Data Science)
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI, Looker, Tableau
  • Other Skills: AWS, Azure, Docker, Kubernetes, Git, Flutter, Pandas, Seaborn, Google Analytics
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

LinkedIn

Resume

Resume

MERN Full Stack Developer and AI/ML enthusiast with expertise in building scalable web applications and predictive models. Proficient in MongoDB, Express.js, React, Node.js, Python, TensorFlow, and NLP. Notable projects include ETVAK - Malaria Detection App and Old Car Price Prediction Model.

Experience


May 2025 - June 2025

Software Engineering Intern

Sky Scanner (Forage) - Job Simulation
  • Designed microservice-based solutions for scalable travel search applications using MERN stack.
  • Developed search logic to handle HTTP requests and process large datasets for personalized results.
  • Built responsive web applications using React and TypeScript with modern design systems.
  • Implemented image processing algorithms for real-time computer vision applications.
  • Collaborated globally with distributed teams to deliver scalable solutions.

Education


2022-2026

Bachelor of Technology in Computer Science and Engineering (Data Science)

Gyan Ganga Institute of Technology & Sciences (CGPA: 7.81)
2020-2022

Higher Secondary School

Small Wonder Senior Secondary School

Download Resume

Projects

Projects

Explore my MERN Full Stack and AI/ML projects, showcasing expertise in web development, machine learning, and NLP.

VibePage - Full-Stack Blogging Platform (MERN)

Engineered a scalable blogging app with MERN & Redux Toolkit, supporting 100+ concurrent users with Redis caching, JWT-based auth, real-time features like notifications, comments, interactive dashboard, and OAuth integration.

Indian Sign Language Detection – Sign Sarthi

Designed and deployed a real-time Indian Sign Language (ISL) recognition system using computer vision and deep learning models integrated with Flask. Enabled seamless communication between deaf and hearing users by translating ISL gestures into live text and speech outputs.

Medical AI Platform – Malaria Detection

Built an AI-powered medical image classification system for malaria diagnosis using deep learning and CNNs on NIH datasets, achieving 96%+ accuracy and enabling real-time scalable predictions in clinical settings.

Old Car Price Prediction Model

Built a deep learning model using TensorFlow to predict used car prices. Preprocessed data for normalization and encoding, achieving accurate predictions based on mileage, year, and brand.

CPU and Memory Usage Prediction

Created a K-Nearest Neighbors model to predict CPU and memory usage based on network traffic and energy data, enabling real-time resource management with cloud deployment (AWS).

Sales Forecast - Time Series Forecasting

Applied multiple ML models (e.g., ARIMA, LSTM) for time series forecasting of retail sales using Python, Pandas, and Scikit-learn, with visualizations in Power BI.

Customer Segmentation

Developed a clustering model using Scikit-learn to segment customers, enabling targeted recommendations for financial products with MongoDB for data storage.

0 Achievements
0 Projects
0 Hackathons

More projects on GitHub

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Jabalpur, India

Contact Number

+91-7803636189

Email Address

adityasuhane01@gmail.com

Download Resume

Resume link


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