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Rajdeep Biswas

@rajdeepbiswas1

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Data scientist specializing in machine learning and generative AI.

India

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in machine learning and data science to drive impactful solutions.

I am a data scientist with a strong background in machine learning and generative AI, currently working at SAP Labs in Bangalore. My journey in data science has been marked by significant achievements, including the development of multiple prompt engineering-based GenAI use cases utilizing large language models like ChatGPT. I have a proven track record of enhancing service accuracy and improving team productivity through innovative solutions and continuous model refinement.

In my role, I have successfully led a team of engineering interns to build an internal dashboard, delivering results ahead of schedule. My technical expertise spans across various frameworks and tools, including TensorFlow, PyTorch, and Docker, which I have leveraged to optimize system performance and enhance forecasting accuracy. I am passionate about fostering collaboration and building relationships within teams to drive impactful data science initiatives.

Experience

Work history, roles, and key accomplishments

Data Scientist

SAP Labs

Aug 2020 - Present (4 years 10 months)

Developed multiple Prompt Engineering-based GenAI use cases with Large Language Models (LLM) such as ChatGPT, Anthropic, and Cohere, tailoring solutions to diverse customer and developer personas. Enhanced Anomaly Detection service accuracy by 10% through continuous model refinement, achieving 90% accuracy over a year of training data using LSTM Autoencoder architecture with TensorFlow and Python.

Prompt Engineering Large Language Models Anomaly Detection LSTM Autoencoder TensorFlow Python Java Spring Boot Docker Git Github

Intern

SAP Labs

Jun 2019 - Present (6 years)

Addressed and resolved multiple bugfixes on a ReactJS frontend, responding to and fixing internal and customer incidents and backlogs with a 30% reduction in incident resolution time. Enhanced accuracy of NL2SQL models by 15% through fine-tuning and transfer learning techniques on pre-trained models.

ReactJS NL2SQL Model Fine Tuning Transfer Learning NLP Multilabel Classification Bidirectional LSTM Flask

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology And Science (BITS), Pilani

Master of Technology, Software Engineering

Specialized in Software Engineering, gaining advanced knowledge in software development and engineering principles. Focused on enhancing skills relevant to modern software systems and practices.