C

Chetan Sai

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Telangana, India
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Résumé

Jobs verified_user 0% verified
  • A
    AI Automation Engineering Intern public Remote experience
    Agentic Atoms
    Feb 2026 - Current (9 months)
    Hybrid RAG Chatbot: Built a Retrieval-Augmented Generation chatbot integrating PDF documents and Excel datasets using
    embedding-based semantic search to help businesses quickly retrieve insights from internal documents.
    • AI News Monitoring and Email Intelligence System: Developed an automated pipeline that scrapes major tech news platforms, filters
    AI-related developments, summarizes insights using LLMs, and sends structured email alerts for business intelligence.
    • Autonomous Developer Agent: Designed a Python-based AI assistant capable of analyzing stack traces, detecting code errors, and
    suggesting optimized fixes to reduce debugging time for developers.
  • Ceeras
    Full Stack Developer Intern
    Ceeras
    May 2025 - Jul 2025 (3 months)
    Client Project Tracking and Billing System:Developed a scalable full-stack system using modern web technologies to track client projects,
    employee work hours, and billing details.
    • Implemented JWT-based authentication, role-based authorization, and secure API endpoints.
    • Designed database schemas for clients, projects, tasks, timesheets, and invoices.
    • Created reactive UI dashboards for managers to monitor project progress and billing summaries.
    • Troubleshot and resolved cross-stack integration issues to maintain system reliability.
  • Qlik
    Business Analytics Intern
    Qlik
    Apr 2024 - Jun 2024 (3 months)
    • Conducted a comprehensive analysis ofAadhaar data using Qlik Sense, deriving actionable insights from a dataset containing information on 1M-10M people. Analyzed metrics such as the number of people who linked their phone numbers and emails, state-wise distribution of Aadhaar holders, and demographic breakdown by gender. • This information can be used for demographic analysis, policy development, security and compliance, healthcare, and education. • Tech stack used: Qlik Analytics, Python libraries, Excel.
Education verified_user 0% verified
  • S
    Bachelor of Technology
    Sri Venkateswara University[SVUCE]
    Aug 2022 - Current (4 years 3 months)
    9.12 CGPA
Projects (professional or personal) verified_user 0% verified
  • F
    Fruit Classification using OpenCV and Machine Learning
    Nov 2024 - Jan 2025 (3 months)
    Developed a fruit classification system using OpenCV for image processing and feature extraction, employing Histogram of Oriented Gradients (HOG) to capture key features from fruit images. Trained Support Vector Machines (SVM) and K-Nearest Neighbors (KNN) models on a dataset of 5,000 fruit images, achieving a 92% accuracy in classification. Evaluated model performance to ensure precise and reliable results.
  • P
    Personalized Outfit Recommendations via Deep Learning
    Aug 2024 - Nov 2024 (4 months)
    A personalized outfit recommendation system was created using deep
    learning techniques to suggest matching clothing items based on individual preferences and styles. The model was trained on a dataset of
    44,000 fashion images, achieving an 89% accuracy in recommending perfectly matching outfits for a given item. Convolutional neural
    networks (CNNs) were implemented for feature extraction and analysis, enabling highly accurate and personalized suggestions that
    enhance the user shopping experience..
  • P
    Practice School Management Application
    Mar 2024 - Apr 2025 (1 year 2 months)
    Developed a web application using Django, HTML, CSS, and JavaScript to efficiently manage
    and store project details, including deadlines and key notes, enhancing organizational efficiency and project tracking.
  • B
    Blood Bank Management System
    Jan 2024 - Mar 2025 (1 year 3 months)
    Developed a comprehensive Blood Bank Management System using SQL for efficient data
    management, enabling seamless tracking of blood donations, donors, and recipients. The system streamlined donor registration, inventory
    management, and blood distribution, ensuring accurate and up-to-date records. Implemented features for blood type matching, donor
    eligibility verification, and automated notifications, enhancing the operational efficiency and reliability of blood bank operations.