Varla Sai Tejartha Reddy
+ Hyderabad # ************@*****.*** 630******* ð varla-sai-tejartha-reddy-937808284
§ Tejartha08
Education
Koneru Lakshmaiah Education Foundation
BTECH in Computer Science and Engineering
June 2022 – April 2026
CGPA: 9.31/10.0
Coursework:Computer Science graduate with hands-on experience in Python, backend development, REST APIs, API integration, Flask, SQL, Git, and cloud-based application development. Experienced in building web applications, serverless APIs, and machine learning solutions through academic projects. Familiar with Generative AI, LLMs, Prompt Engineering, debugging, software testing, and application development. Strong problem-solving skills with an interest in full-stack development and AI-powered applications. Skills
TECHNICAL SKILLS:
Programming: Python, JavaScript, Java, Object-Oriented Programming (OOP), Data Structures and Algo- rithms.
Web Development: HTML, CSS, JavaScript, Flask, REST APIs, API Integration, Web Application Develop- ment.
Testing: Software Testing, Functional Testing, Regression Testing, API Testing, Debugging, Test Automation, Postman.
Databases: SQL, Database Management Systems (DBMS), SQL Queries, Relational Databases. Cloud and DevOps: AWS, AWS Lambda, Amazon S3, API Gateway, Git, GitHub, CI/CD Fundamentals, Docker Basics.
AI and Machine Learning: Machine Learning, Scikit-learn, XGBoost, Generative AI, LLMs, Prompt Engi- neering.
Core Skills: Problem Solving, Debugging, Troubleshooting, Software Development Life Cycle (SDLC), Docu- mentation, Team Collaboration.
Projects
ENT Disease Diagnosis Using Machine Learning Ear-Disease-Detection 2
Engineered an end-to-end classification pipeline in Python using Scikit-learn and Pandas to process and diagnose otoscopic image features.
Implemented and evaluated multiple models (Random Forest, SVM, XGBoost), tuning hyperparameters to achieve 97% classification accuracy.
Image to Text Converter Image-To-Text 2
Built a scalable RESTful API in Python (Flask) integrating Tesseract OCR and Pillow for automated image preprocessing and optical text extraction.
Structured modular backend endpoints with robust exception handling and input validation, reducing pro- cessing latency.
Tested and documented API endpoints using Postman and managed code versioning via Git. Cloud-Based Language Translation App with AWS Translate 2025
Architected a serverless translation service using Python, AWS Lambda, and Amazon API Gateway to integrate with AWS Translate for low-latency multilingual processing.
Designed decoupled cloud storage workflows using Amazon S3 to handle file ingestion and output retrieval securely.
Implemented clean, event-driven architecture adhering to standard design patterns and cloud best practices. 1
Certifications
AWS Certified Cloud Practitioner AWS
2