Open to opportunities

Bhavya Soni

@bhavyasoni

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Software Engineer with expertise in AI and Chatbot Development.

India

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What I'm looking for

Seeking a challenging role that leverages my AI and chatbot development skills to drive innovation and growth in a dynamic and collaborative environment.

As a highly motivated and detail-oriented software engineer, I leverage my expertise in AI, chatbot development, and cloud computing to drive innovation and efficiency in various industries. With a strong background in computer engineering and a passion for machine learning, I have successfully developed and implemented cutting-edge solutions that improve user experience and reduce manual workload.

My experience in designing and implementing IT chatbots, AI plugins, and cloud exchange platforms has equipped me with the skills to tackle complex problems and deliver high-performing solutions. I am committed to staying updated with the latest advancements in technology and applying my knowledge to drive business growth and improvement.

With a strong educational foundation and a proven track record of achievements in hackathons and internships, I am confident in my ability to make a significant impact in the tech industry and contribute to the development of innovative solutions that transform the way we live and work.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Crest Data

Jan 2022 - Present (3 years 5 months)

Designed and implemented an IT chatbot for the organization leveraging state-of-the-art technology known as Retrieval-Augmented Generation (RAG). Created the TruLens dashboard to objectively assess the quality and efficacy of the IT chatbot through feedback mechanisms.

Python GraphQL Docker Celery RabbitMQ Pydantic Pandas PyTorch Graphene Django MongoDB SQL Git GitHub Bitbucket Gitlab Retrieval Augmented Generation (RAG)

Machine Learning Engineer Intern

Sanatan Tech Innovations

Jul 2021 - Nov 2021 (4 months)

Developed an algorithm using the YoloV5 model that can accurately count the number of individuals crossing a user-specified boundary within a UI. Used light weight python framework Flask for the backend.

Python Flask Celery RabbitMQ