Aditya Raj

AI-ML Engineer

Discovering AI with foundation in machine learning, deep learning, and computer vision. Currently pursuing studies in Convolutional Neural Networks and Transformers. Deploying the problems into models.

Trying on developing solutions through practical project implementation. Committed to continuous learning.

Profile Picture

Experience

Upcoming Associate Engineer at Polaris Inc

Polaris Inc | Joining Year: 2026

Scheduled to join Polaris's Data and Analytics team, focusing on applications of artificial intelligence and machine learning. Expecting to contribute to innovative AI solutions, collaborate with top-tier researchers and engineers, and advance cutting-edge technology in a fast-paced, global environment.

Industry Project Intern

IISc's Data for Public Good | Nov 2024 - Feb 2025

Collaborated in a 4-member team with IISc's CDPG to build an AI-based Ambulance Distribution System using IUDX traffic data, optimizing 45+ ambulance routes across Bangalore. Integrated features like ETA prediction, heatmap-based accident analysis, and nearest vehicle detection using IUDX data in collaboration with IISc's CDPG.

Projects

OCTVision: Retinal Disease Detection

AI/ML Project | May 2025

Implemented transfer learning using MobileNetV3 and TensorFlow, training the model on 84K OCT scans for multi-class retinal disease classification with 97% validation accuracy. Deployed the model through a Flask API, enabling real-time predictions for four retinal disease classes with minimal preprocessing.

Book Buddy: Hybrid Book Recommender

AI/ML Project | Apr 2025

Developed a hybrid book recommendation system combining cosine similarity, collaborative filtering, and popularity-based models to provide personalized book suggestions. Deployed the system as a Flask-based web application with custom API routes for processing user input, generating real-time recommendations, and rendering book images, optimizing overall system performance.

LifeLink: Ambulance Dispatch Optimization in Bangalore

AI/ML Project | Nov 2024 – Feb 2025

Designed a real-time ambulance dispatch model leveraging KNN, K-Means, and Dijkstra's algorithm, achieving an 88% improvement in allocation efficiency. Developed an interactive dashboard using Streamlit and Folium to track over 45 ambulances, routes, and estimated arrival times (ETAs), providing real-time data for optimized response times.

Quantum Fit: AI-Powered Fitness Planner

AI/ML Project | Dec 2023 – Feb 2024

Developed a personalized fitness and nutrition planner using Google Gemini AI, generating customized workout plans and meal suggestions based on user inputs. Leveraged Streamlit for seamless app deployment, integrating Plotly and Matplotlib for interactive data visualization of workout routines and macronutrient breakdowns.

Skills

Machine Learning

Learning algorithms, data preprocessing, feature engineering, and model evaluation techniques.

Deep Learning

Neural networks, CNNs, RNNs, transfer learning, model tuning, and optimization.

Data Analysis

Exploratory data analysis (EDA), statistical analysis, hypothesis testing, and data visualization using tools like Pandas, NumPy, and Matplotlib.

Computer Vision

Image processing, object detection, semantic segmentation, and facial recognition using OpenCV, TensorFlow, and PyTorch.

Natural Language Processing

Text processing, sentiment analysis, machine translation, and named entity recognition (NER) with libraries such as NLTK, SpaCy, and Hugging Face Transformers.

Cloud Computing

Cloud deployment, serverless architectures, and experience with AWS for model deployment and scaling.

Flask & Streamlit

Web app development, API integration, and real-time data visualization using Flask for backend and Streamlit for UI.

Version Control

Proficient in Git for version control, collaboration, and code management using GitHub.

SQL & NoSQL Databases

Experience with relational (SQL) and non-relational (NoSQL) databases like MySQL and MongoDB for data storage and management.

Certifications

Getting Started with Deep Learning

NVIDIA | 16 April 2025

Successfully completed comprehensive deep learning certification program covering advanced neural network architectures, GPU acceleration, and practical implementation of deep learning solutions. Demonstrated proficiency in NVIDIA's deep learning frameworks and tools.

View Certificate

Machine Learning Specialization

DeepLearning.AI & Stanford University | January 3, 2025

Successfully completed the Machine Learning Specialization by Stanford University and DeepLearning.AI, covering supervised learning (linear regression, logistic regression, neural networks), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. Gained hands-on experience in building and deploying machine learning models using tools like NumPy, scikit-learn, and TensorFlow.

View Certificate

Co-curricular Activities

State Level Baseball Tournament 2024

Visvesvaraya Technological University | July 2024

Competed in the VTU Baseball Tournament, focusing on teamwork and strategy. This experience enhanced my leadership and time management skills.

State Level Softball Tournament 2024

Visvesvaraya Technological University | February 2024

Participated in the VTU Softball Tournament, improving my communication and coordination skills while balancing sports and academics.

State Level Baseball Tournament 2023

Visvesvaraya Technological University | July 2023

Played in the VTU Baseball Tournament, developing teamwork and resilience while managing academic commitments.

Contact