- I helped successfully lauch our MVP by developing AI-driven features, enhancing product-market fit, and boosting accuracy by 15% while reducing latency by 63% of our product.- Engineered a cost-effective system using OpenAI and Label Studio to synthetically generate legal privacy texts on a budget of under $20.- Enhanced several BERT-based models and integrated and fine-tuned openAI models for improved semi-supervised multiclass classification.- Developed a text segmenter for efficient unstructured HTML/markdown text segmentation into logical chunks.- Co-developed Vericy's Data Privacy Score for Brands, collaborating with Product Managers and Legal teams.- Created an advanced AI search tool for quick retrieval of legal documents (privacy policies, TOS, etc.) for any brand.- Worked with the Engineering Head on deploying models on AWS SageMaker.- Currently working of building efficient RAG pipelines.

Worked on a project that integrated 4different technologies from scratch to acomplete product.Technologies used : Android Appdevelopment, iot-core using Google CloudPlatform, Raspberry Pi programming as wellas Database design.

UI/ UX design as well as implemetation of thedesign via Android App Development.Kotlin, XML, firebase