Trisha

Software Engineer, Python Developer, AI/ML Engineer

Tirupati, Andhra Pradesh 0+ yrs exp 81 · Excellent

About

2026 B.Tech CSE (AI & ML) graduate (CGPA 8.40/10) seeking Software Engineer, Python Developer, and AI/ML Engineer roles. Hands-on experience building full-stack applications with Python, SQL, Flask, and REST APIs, plus deep learning and forecasting systems. Strong fundamentals in Data Structures, OOP, and DBMS. Delivered 3 end-to-end projects — web app deployment, model integration, and API development.

Skills & Expertise (23)

Team Work Intermediate

6.0/10

0.5

Years Exp

Time management Intermediate

6.0/10

0.5

Years Exp

Good Communication Intermediate

6.0/10

0.5

Years Exp

Machine Learning Intermediate

5.8/10

0.5

Years Exp

Python Intermediate

5.8/10

0.5

Years Exp

NumPy Intermediate

5.0/10

0.5

Years Exp

OOP Intermediate

5.0/10

0.5

Years Exp

Data Structures & Algorithms Intermediate

5.0/10

0.5

Years Exp

API Intermediate

5.0/10

0.5

Years Exp

VS Code Intermediate

5.0/10

0.5

Years Exp

GitHub Intermediate

5.0/10

0.5

Years Exp

Pandas Intermediate

5.0/10

0.5

Years Exp

scikit-learn Intermediate

5.0/10

0.5

Years Exp

Keras Intermediate

5.0/10

0.5

Years Exp

TensorFlow Intermediate

5.0/10

0.5

Years Exp

REST APIs Intermediate

5.0/10

0.5

Years Exp

Flask Intermediate

5.0/10

0.5

Years Exp

DBMS Beginner

4.0/10

0.5

Years Exp

Computer Networks Beginner

4.0/10

0.5

Years Exp

SQL Beginner

4.0/10

0.5

Years Exp

CSS Beginner

3.5/10

0.5

Years Exp

HTML Beginner

3.5/10

0.5

Years Exp

JavaScript Beginner

3.5/10

0.5

Years Exp

Work Experience

AI Intern

Infosys Springboard

Aug 2025 - Oct 2025

Built and benchmarked ARIMA, XGBoost, and LSTM models for an AI-driven Azure demand forecasting system, covering 4 regions and 3 resource types. Engineered feature pipelines from 3 months (1,080 records) of historical utilization data, achieving 8-12% forecast MAPE with ARIMA/LSTM. Developed visualization dashboards and Flask backend integrations for demand monitoring by region, resource type, and date.

AI/ML Intern

Smart Bridge

May 2025 - Jul 2025

Built and deployed a Python/Flask application applying transfer learning (VGG16) for image-based disease classification across 4 classes. Fine-tuned the model by unfreezing the last 4 layers, improving validation accuracy from 95.40% to 96.25%. Owned the model lifecycle end-to-end — training, preprocessing, evaluation, and Flask deployment for real-time prediction.