Tejas Gajra

+91 87586 01611 | gajra.tejas14@gmail.com |linkedin.com/in/tejasgajra |github.com/tejasgajra

Education

  • Indian Institute of Technology, Madras, Chennai, India

    Bachelor of Science in Data Science and Applications, CGPA: 8.3

    Jan 2021 – 2024 May

  • Gujarat Technological University, Ahmedabad, India

    Bachelor of Engineering in Mechanical Engineering, CGPA: 8.6

    Aug. 2017 – Aug. 2021

Experience

  • Software Engineer, Data Science (May 2024 – Present)

    Fiery (formerly EFI), Bengaluru, India

    • Built a full-stack NLP-based print job system with Angular frontend, Node.js backend, and LLaMA 3.1 via vLLM for structured job ticket generation.
    • Integrated function calling and custom post-processing to extract print parameters and reduce model hallucinations.
    • Enabled email-based job submission via AWS SES and Lambda.
    • Created "AskDB," a natural language interface for internal database querying.
  • Associate Software Engineer, Data Science (July 2023 – May 2024)

    Fiery (formerly EFI), Bengaluru, India

    • Developed an app to detect TV ads using audio fingerprinting.
    • Built a RAG-based chat product using Mistral-7B LLM and Qdrant.
    • Wrote backend services in TypeScript for ink estimation.
  • Data Science Intern (Jan. 2023 – July 2023)

    EFI, Bengaluru, India

    • Developed an e-commerce platform prototype for selling customized decor items
    • Improved visual search with image processing using BLIP models.
    • Built live mockup generator using ImageMagick for user uploaded images on home decor items
  • Teaching Assistant (Sept. 2022 – Dec 2022)

    IIT Madras, Chennai, India

    • Mentored 20 students in a Statistics course.
    • Conducted tutorials and doubt-clearing sessions.

Projects

  • Bloglite | Python, Flask, Vue.js, SQLite, Redis (June 2020 – Present)
    • Built a full-stack web app with a REST API in Flask and Vue.js frontend.
    • Included social features like image posting, following, and liking.
    • Implemented token-based authentication and caching with Redis.

Technical Skills

Languages: Python, JavaScript, TypeScript, SQL, HTML/CSS, R

Frameworks: Vue.js, Angular, Node.js, Flask, FastAPI

Tools: Git, Docker, VS Code, Neovim, Linux

Libraries: Pandas, NumPy, Scikit-Learn, PyTorch, Huggingface, OpenAI