Rahul Wadhwa

Rahul Wadhwa

Software Engineer Intern

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location of Rahul WadhwaBengaluru, Karnataka, India

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  • Timeline

  • About me

    A young and energetic developer with a keen interest in Data Science and Machine Learning constantly looking for new opportunities to apply Computer Science in.

  • Education

    • Sir M Visvesvaraya Institute Of Technology

      2016 - 2020
      Bachelor's degree Bachelors of Engineering in Computer Science

      - Data Structures and Algorithms- Python- Machine Learning- Discrete Mathematical Structures- Cloud Computing- Advanced Java and J2EE

    • University of California, Riverside

      2021 - 2022
      Master's degree Master of Science in Computer Science

      - Machine Learning- Data Mining Techniques- Artificial Intelligence- Deep Learning- Spatial Computing- Big Data Management- Data Structures and Algorithms

  • Experience

    • Calligo Technologies

      Jul 2019 - Aug 2019
      Software Engineer Intern

      • Crafted a project titled “Compiler for Next Generation Arithmetic”, taking the lead in designing the first 2 operations of the compiler using tools like lex and yacc based in C code. • Engineered an efficient code auto-indentation tool using lexical tools, enabling the automatic formatting of any given block of code in 0.5-1s.

    • Accenture

      Nov 2020 - Jun 2021
      Associate Software Engineer

      • Served as a PostgreSQL backend engineer, collaborating closely with the onsite stakeholders to architect the database functions that handled approximately 60% of the organization’s data.• Underwent extensive training for Java, MuleSoft and PostgreSQL.

    • IQuanti

      Jul 2022 - Aug 2022
      Data Science Intern

      • Revamped the company’s existing web content methodology by leveraging libraries such as BeautifulSoup, justext, and boilerpy3. The primary focus was on enhancing the precision of information retrieval while eliminating irrelevant background data.• Constructed a Python tool leveraging BERT for Intent recognition, systematically categorizing page content by headers to align with marketing funnel stages. This systematic approach resulted in optimizing SEO performance by around 40%.

    • IQuanti

      Jun 2024 - now
      Associate Software Engineer
  • Licenses & Certifications