Tanuja Madasu
Entry-level Software Engineer • Narsapur, Andhra Pradesh • t*************@gmail.com • +91*******431 • github.com/••••• • drivetube.ai/•••••
Professional Summary
Entry-level Software Engineer with 0-1 years of experience specializing in Python, FastAPI, REST API development, AI/ML and NLP. Built full-stack applications and end-to-end ML pipelines during internships; experienced with PostgreSQL, JWT-based authentication, Microsoft Power Platform and cloud fundamentals. Seeking an entry-level role to contribute to production-ready backend systems and ML-enabled features.
Technical Skills
Programming Languages: Python,Java,JavaScript
Frameworks and Libraries: FastAPI,Django,React,scikit-learn,TensorFlow,Keras
Databases: PostgreSQL,MySQL,SharePoint Lists
Cloud and DevOps: AWS Cloud Practitioner,Oracle Cloud Infrastructure OCI
Tools and Methodologies: Git,GitHub,OpenAPI
Skills: HTML5,CSS3
AI and ML & NLP: CNN,VGG16,Transfer Learning,NLP,TF-IDF
Backend & APIs: REST API Design,JWT,Role-Based Access Control
Low-code & Automation: Microsoft Power Apps,Power Automate,SharePoint
Work Experience
Infosys Springboard Virtual Internship 6.0
Remote
Full-Stack Developer Intern
Nov 2025 – Feb 2026
Virtual internship with Infosys (IT services); developed a full-stack water-quality monitoring dashboard using FastAPI and React to ingest and visualize sensor data for operational monitoring.
Tech Stack: FastAPI, React, PostgreSQL, JWT, REST APIs, Git, GitHub
- Engineered a full-stack Water Quality Monitoring Dashboard with a FastAPI backend and React frontend to ingest and process 500+ real-time sensor records, improving operational monitoring efficiency by ~30%.
- Designed REST APIs and a normalized PostgreSQL schema to support real-time ingestion and query patterns, ensuring responsive dashboard updates for field operators and administrators.
- Implemented JWT-based authentication and role-based access control for 3+ user roles, centralizing session security and reducing unauthorized access risk.
- Built interactive data-visualization components in React to surface time-series sensor trends and alerts, enabling faster data-driven decisions by operations teams.
- Documented API endpoints with OpenAPI and produced developer-facing API specs to accelerate integration with frontend components and future integrations.
- Used Git and GitHub workflows for version control, managing feature branches and code reviews during the virtual internship to maintain code quality and collaboration.
AI & ML Virtual Internship – APSCHE
Remote
Machine Learning Engineer Intern
Jun 2025 – Aug 2025
Remote AI/ML internship focused on poultry disease detection using convolutional neural networks and transfer learning; developed an end-to-end model pipeline from preprocessing to evaluation.
Tech Stack: Python, TensorFlow, Keras, VGG16, scikit-learn
- Developed an end-to-end poultry disease detection system using VGG16-based transfer learning in TensorFlow/Keras, achieving ~90% multi-class classification accuracy on a custom image dataset.
- Designed data preprocessing and augmentation pipelines (resizing, normalization, flips, rotations) to increase dataset diversity and reduce overfitting, improving model robustness.
- Fine-tuned model hyperparameters with stratified cross-validation and evaluated class-wise metrics (precision, recall, F1) to optimize overall and per-class performance.
- Implemented model evaluation scripts producing confusion matrices and classification reports to support stakeholder review and error analysis.
- Packaged trained model artifacts and prepared inference-ready pipelines and documentation to facilitate deployment handoff and reproducible inference.
- Collaborated remotely to source labeled images and defined evaluation protocols; project workflow and results supported an estimated 60% reduction in manual disease detection time.
Projects
Expense Approval & Reimbursement Application | 2026 – 2026
Tools Used: Power Apps, Power Automate, SharePoint, Workflow Automation
- Built a Power Apps and SharePoint-based expense management system to centralize expense submission, tracking and audit information.
- Automated multi-level approval flows using Power Automate, reducing manual processing effort and turnaround time for reimbursements.
- Implemented status tracking and reporting to provide administrators real-time visibility into pending and completed reimbursements for audit purposes.
Sentiment Analysis on Movie Reviews | 2024 – 2024
Tools Used: Python, NLP, scikit-learn, TF-IDF
- Developed an NLP-based sentiment analysis model using TF-IDF vectorization and scikit-learn classifiers for movie review text classification.
- Applied preprocessing techniques including tokenization, lemmatization and stop-word removal to improve model input quality.
- Evaluated multiple models with cross-validation and selected the best-performing model based on validation accuracy and F1 score.
Education
Swarnandhra College of Engineering and Technology
B.Tech, Computer Science & Engineering • Narsapur, Andhra Pradesh • 2022 – 2026
Aditya Junior College
Intermediate, MPC • Narsapur, Andhra Pradesh • 2020 – 2022
Certifications
AWS Certified Cloud Practitioner Foundational — Amazon Web Services • 2026
Oracle Cloud Infrastructure AI Foundations Associate — Oracle • 2025
Python for Data Science — NPTEL (IIT Madras) • 2025
Infosys Springboard Virtual Internship 6.0 Completion Certificate — Infosys • 2026
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