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.
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.
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.
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.
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.
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.
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.
Learning algorithms, data preprocessing, feature engineering, and model evaluation techniques.
Neural networks, CNNs, RNNs, transfer learning, model tuning, and optimization.
Exploratory data analysis (EDA), statistical analysis, hypothesis testing, and data visualization using tools like Pandas, NumPy, and Matplotlib.
Image processing, object detection, semantic segmentation, and facial recognition using OpenCV, TensorFlow, and PyTorch.
Text processing, sentiment analysis, machine translation, and named entity recognition (NER) with libraries such as NLTK, SpaCy, and Hugging Face Transformers.
Cloud deployment, serverless architectures, and experience with AWS for model deployment and scaling.
Web app development, API integration, and real-time data visualization using Flask for backend and Streamlit for UI.
Proficient in Git for version control, collaboration, and code management using GitHub.
Experience with relational (SQL) and non-relational (NoSQL) databases like MySQL and MongoDB for data storage and management.
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 CertificateSuccessfully 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 CertificateCompeted in the VTU Baseball Tournament, focusing on teamwork and strategy. This experience enhanced my leadership and time management skills.
Participated in the VTU Softball Tournament, improving my communication and coordination skills while balancing sports and academics.
Played in the VTU Baseball Tournament, developing teamwork and resilience while managing academic commitments.