Projects
A showcase of my work in AI, Machine Learning & Software Development.
Ozone Concentration Forecasting
Utilizing USA Gov Hourly met data (time-series) to predict Ozone concentration at (t+k) hours using Multi-layer Perceptron with the help of a custom PyTorch Neural Network. Achieved comparable results to baseline time series specialized models like LSTM and GRU
Resume Classification
Leveraged Natural Language Processing Concepts to train a vectorizer to successfully classify resume and match to specific job roles. Achieved 83% accuracy.
Skin Cancer Classification
Built a Convolutional Neural Network classifier to classify skin deformities as malignant or benign, achieving 85% accuracy (comparable to Resnet50 ~86%); reduced false negatives 20%, improving reliability for early detection use cases.
Simulation of Self Driving Car
Designed a custom Convolutional Neural Network model trained on manual driving frames from Unity Udacity simulator. The trained CNN model achieved autonomous hands-free driving on the simulator, achieving 92% validation accuracy for steering prediction, with 95%+ lane-keeping accuracy, reduced steering error variance 30% vs. baseline models.
Code Scanner and Tally
Microsoft Excel VBA code to recognize Barcode, QR Code and Data Matrix output using scanner output and realtime tallying in a large Kit List (~900 parts per model) for Tata Motors South Africa. Active on Industry floor till date. Saved cost-to-company of upto 15000 ZAR
Architecture of Complex Networking Topology
Constructed a complex networking topology with successful end-to-end communication using Routing and Switching protocols