Vinaydeep Kaur

About Vinaydeep Kaur

My Portfolio : https://github.com/vinaydeep-kaurAI Engineer / Software Engineer (Automation & AI Systems) with 5+ years of experience building backend services, automation platforms, and CI/CD pipelines for large-scale SaaS systems. Holds a Master’s degree in Computer Science with specialization in AI and hands-on experience developing machine learning and GPT-powered applications.Experienced in designing and deploying AI-driven systems including LLM-based applications, document intelligence pipelines, NLP solutions, and ML models for classification and prediction. Strong foundation in Python, Java, REST APIs, FastAPI, cloud platforms, and end-to-end system integration.Brings a unique blend of production engineering rigor and applied AI/ML expertise, enabling the development of scalable, reliable, and production-ready AI-backed software systems.Programming & Software Engineering:Python, Java, SQL, Object-Oriented Programming, REST APIs, FastAPISkillsAI / Machine Learning:Applied Machine Learning, NLP, GPT / LLM APIs, Prompt Engineering, RAG (Retrieval-Augmented Generation), Model Evaluation, scikit-learn, TensorFlow, PyTorch, NLTKData & Analytics:Pandas, NumPy, Feature Engineering, Data Preprocessing, MongoDB, MySQLCloud & MLOps:AWS, Docker, CI/CD (GitLab, Jenkins), Model Deployment, API-based Model ServingAutomation & Reliability Engineering:Automation Framework Design, Selenium, API Validation, End-to-End System AutomationTools & Practices:Git, GitHub, Agile/Scrum, Jira, Postman, Linux Fundamentals.

Experience

1. Senior Automation Engineer (Ai Systems)

   Perfios

   Apr 2024 — Present · Bengaluru, IN

   Built GPT-powered document intelligence systems in Python using LLMs, GPT APIs, and RAG, reducing manual document processing effort by 65%•Designed embedding pipelines and semantic search workflows using machine learning and NLP, improving retrieval relevance by 40% across enterprise datasets•Developed LLM-based and Agentic AI–driven test intelligence platforms, leveraging prompt engineering and model evaluation techniques to reduce test design effort by 60%•Implemented asynchronous prompt orchestration and exposed AI services via FastAPI and REST APIs, deploying models using Docker, CI/CD pipelines, and AWS•Collaborated with backend, data, and product teams to deliver scalable, production-grade AI/ML systems

Education

• Lakehead University

  Master's in Computer Science, Computer Science

  2021 — 2023

• Nitte Meenakshi Institute of Technology

  Bachelor's degree, Information Technology

  2013 — 2017

• Kendriya Vidyalaya

  12th Standard, Computer Science, Physics, Chemistry, Mathematics

  2010 — 2013