Awala Aishwarya

About

Computer Science (AI & ML) graduate with hands-on experience in Python, Java, machine learning, generative AI, and backend development. Built AI-powered academic and internship projects involving LLMs, RAG, FastAPI, REST APIs, and computer vision.

Experience

• AI/ML Intern
  Labmentix
  Jan 2026 – Jul 2026

Education

• B. Tech
  Bhoj Reddy Engineering College for Women
  Computer Science & Engineering (AI & ML) · 2026
• Senior Secondary
  Sangam LaxmiBai Junior College
  State Board · 2022
• Secondary School
  Gowtham Model School
  State Board · 2020

Skills

• SQL 6 to 12 months
• Computer Vision <3 months
• Data Analysis <3 months
• Deep Learning <3 months
• FastAPI <3 months
• Python 6 to 12 months
• Machine Learning <3 months
• Prompt Engineering <3 months
• Java <3 months
• Feature Engineering <3 months
• Matplotlib <3 months
• Model Evaluation <3 months
• NumPy <3 months
• Pandas <3 months
• Streamlit <3 months
• scikit-learn <3 months
• OpenCV <3 months
• Flask <3 months
• PyTorch <3 months
• TensorFlow <3 months
• Operating Systems <3 months
• Microservices <3 months
• Documentation Management <3 months
• API Integration Understanding <3 months
• CI/CD <3 months
• Large Language Models <3 months
• Software Engineering <3 months
• Data Structures and Algorithms <3 months
• Azure AI Services <3 months
• Oop <3 months
• APIs and integrations <3 months
• Software Design Principles <3 months
• Retrieval Augmentation Generation <3 months
• Advanced DBMS <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months

Tools / apps / platforms

• Android Studio <3 months
• Git <3 months
• GitHub <3 months
• Jupyter Notebook <3 months
• Microsoft Azure <3 months
• VS Code <3 months

Projects

• MLOps Pipeline for Machine Learning Deployment ↗
  Git, CI/CD

  End-to-end machine learning workflow covering data preprocessing, model training, evaluation, and deployment with version control and automated workflows.

• Driver Drowsiness Detection System
  Python, OpenCV

  Real-time driver monitoring system using facial landmark detection, eye-state tracking, and alert mechanisms to detect fatigue and improve road safety.

• Agentic AI Travel Planner
  Python, Streamlit, REST APIs

  Intelligent travel planning application that provides itinerary generation, hotel recommendations, weather forecasts, and budget estimation. Built with a modular architecture integrating multiple services through a centralized travel agent framework.

Courses & certifications

• Azure Data Fundamentals · Microsoft Learn
• Azure AI Services · Microsoft Learn
• Data Analytics, Data Visualization Using AI · IBM SkillsBuild

🏆 Achievements & awards

• TenzorX National AI Hackathon Participant · 2026

  Participated in TenzorX National AI Hackathon 2026 and developed AI-powered solutions including an Agentic AI Travel Planner leveraging AI agents and MLOps.

📚 Publications

• Intelligent Pothole Detection · 2026

🎯 Hobbies & interests

• Coding
• Problem Solving
• Learning Emerging Technologies