Collaborating with senior stakeholders and chief scientists to develop scalable machine learning models, writing production code for optimization. Ensures code quality and adherence to best practices while actively contributing to software application maintenance and improvement.

•Contributed to the development of a large scale recommendation engine for products. Leveraged technologies such as BERT, Word2Vec, ElasticSearch and others to ensure recommendation engine optimizes for relevance and other personalization criteria as per the needs of the product. Evaluation results showed that the recommendation engine that we designed achieves a 0.8 nDCG @ 5 score and 0.77 MRR on a human-rated test set.• Under the mentorship of Opinosis Analytics' founder, I crafted an end-to-end machine translation pipeline proficient in translating Hindi sentences to English using neural network architectures such as LSTMs. Compared performance of LSTM based translator with that of ChatGPT. Assessed model accuracy, and employed metrics such as BLEU, ROUGE, F-measure, and Cosine Similarity.