Sooraj Krishnan V S Email & Phone Number

As a Python Developer at TCS with expertise in FastAPI development and Machine learning. I bring a solid foundation in creating scalable and efficient backend solutions. With a postgraduate degree and a strong background in the Life Sciences sector, I have perfected my skills in solving complex problems using advanced machine learning techniques.My previous experience in machine learning includes implementing Natural Language Processing (NLP) solutions such as topic modeling and Named Entity Recognition, enabling actionable insights from unstructured data. I have also developed end-to-end machine learning pipelines by leveraging AWS services, Python, and web scraping to collect, preprocess, and analyze data in diverse projects.Currently, my focus on FastAPI development complements my machine learning background, allowing me to build comprehensive solutions that bridge backend development with AI-driven insights. My adaptability to new technologies and commitment to continuous learning have been pivotal in delivering impactful results, enhancing the value I bring to my organization.I am eager to further explore opportunities in machine learning and backend engineering, combining my technical expertise and domain knowledge to drive innovation and excellence in this dynamic field.

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  Python Developer

  Tata Consultancy Services

  Aug 2021 - Present - Kochi, Kerala, India

  As a Data Scientist and Python Developer, I have contributed to the development of advanced machine learning solutions and backend systems, particularly in the Life Sciences sector. My role revolves around designing scalable systems, enhancing data-driven decision-making, and delivering impactful results through advanced technologies. *Key Responsibilities & Achievements* :• Machine Learning & NLP: Applied Topic Modeling (LDA) and Named Entity Recognition (NER) to extract valuable insights from unstructured data.• Backend Development with FastAPI: Designed and developed scalable APIs using FastAPI, enabling seamless integration with cloud services and optimizing data workflows.• Cloud Services (AWS): Integrated various AWS services including Lambda, S3, API Gateway, Step Functions, Comprehend, Textract, and Augmented AI. Used AWS Textract for extracting text and structured data from PDFs and AWS Comprehend for analyzing and processing this data, transforming it into organized, structured formats for further analysis.• Python Technologies: Utilized Pandas, Numpy, Gensim, Spacy, Flask, Beautiful Soup, Pydantic for data manipulation, web scraping, and machine learning tasks.• Infrastructure & Automation: Deployed infrastructure using Terraform and worked with Microsoft Entra ID for secure authentication.• Azure Integration: Leveraged Azure Blob Storage for efficient data storage and Azure API Management (APIM) for managing and securing APIs. Also utilized Azure App Functions and FastAPI to develop scalable backend services and integrate them with cloud environments.