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XOPA Ai
Software Engineer
June 15, 2026 – Present
LLM_Conversation_Project_through_Product_Description_using_OpenAI
December 12, 2023 – January 16, 2024
Integrating OpenAI's LLM - GPT-4 and NLTK, I have created a small conversation feature. Leveraging OpenAI's power, I have fetched response for a prompt. Then extracting some important features from the description, I have generated a question template. This questions are again posted to OpenAI, which gives back a response to it.
View ProjectSVHN_dataset_Computer_Vision_project
December 6, 2023 – December 6, 2023
This Computer Vision project is about training our model to accurately identify the House Numbers that are captured by the Google Street View. I have used the SVHN dataset to accomplish this task. Leaveraging some refined structure of the Layers of our Network, I was able to acheive good accuracy.
View ProjectPredicting_cell_shape_cGAN
November 29, 2023 – November 30, 2023
A starter and basic project on cGANs(Conditional Generative Adversarial Networks). Leveraging the cGANs ability to predict the "Progression of the Shape" of the cell. I have used some important attributes such as Cell's Life cyle stage, Mitotic Index, DNA Content and many such to "Generate" it's shape after a "6-HOUR Time Delta"
View ProjectImage_classification_using_the_CIFAR_10_dataset
July 7, 2023 – July 7, 2023
The main concentration of this project lies on image calssification using traditional CNN(Convolution Neural Networks), and also a couple of "BASE MODELS" such as "RestNet50", "DenseNet121" and "EfficientNetB0" that upgraded the performance of our CNN, followed by the Fully Connected NN, that we are using to train our model on.
View ProjectTerm_frequency_and_cosine_similarity_calculator
June 14, 2023 – June 14, 2023
A complete Python code used for "vectorizing" the given documents, and givng the "Cosine-Similarity" between the given documents.
View ProjectRegression_for_house_price_estimation_using_the_Boston_Housing_Price_dataset
June 13, 2023 – June 13, 2023
A Deep Learning Project on "Regression" using the Boston Housing Prices dataset. We used algorithms such as "k-fold", which will help us in getting more combinations if training and testing sets, which will give a robust performance of our model. Many other features are included to improve our models perrformance.
View ProjectMulticlass_classification_of_newswires_using_the_Reuters_dataset
June 13, 2023 – June 13, 2023
A Deep Learning Project on "Multi-Category analysis" using news articles from the Reuters news agency. With this classification within categories of categories, we can understand the textual data. We used algorithms such as ""One-Hot-Encoding", and many other features to improve our models perrformance.
View ProjectBinary-classification-of-movie-reviews-using-the-IMDB-dataset
June 13, 2023 – June 13, 2023
A Deep Learning Project on "Sentiment Analysis". We will be training and testing our model on the reviews that we get from the reviews, which are from the IMBD Dataset. We will also check "ONE POSITIVE" and "ONE NEGATIVE" review that our model classifies correctly, the other such testing methods
View ProjectDeep_Learning_MNIST_and_Fashion_MNSIT
June 3, 2023 – June 3, 2023
A Deep Learning Project on "IMAGE DETECTION" using MNIST and FASHION MNIST datasets. We will be using many combinations of activation fucntions, loss and other normalization techniques to show how the accuracy improves if certain parameters are added to the netwrok and many such implementations.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML domains. The projects are diverse within the AI/ML field, indicating a curious and self-driven individual. However, the lack of team projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative engineering environment. The current role as 'Software Engineer' at XOPA Ai is a good alignment with a target role of 'Software Engineer', but the duration and specific responsibilities are not detailed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to articulate technical concepts, but there is no direct assessment of collaboration, problem-solving under pressure, or communication in a team setting.