TEJA KAVIKONDALA

Improved API throughput 3x by migrating a legacy monolith to Python FastAPI microservices with Redis caching. Built RAG pipelines using Python, LangChain, OpenAI GPT-4, FastAPI, FAISS for secure semantic search across banking policies.

Built and evaluated ML models on 10K+ patient records using TensorFlow and PyTorch, improving predictive accuracy by 30%. Integrated MLFlow for experiment tracking and model artifact versioning.

Built reliable Django REST API endpoints for a legacy SaaS platform, implementing request validation, error handling, and structured response schemas reducing invalid request failures by 35%. Provisioned AWS infrastructure with Terraform on EC2 instances.

Engineered Node.js/Express REST APIs for an e-commerce platform processing 7,000+ monthly orders, resolving blocking async patterns to reduce p99 latency from 500ms to 150ms. Contributed to React dashboards with Redux, TypeScript, and lazy loading.

Implemented async event-driven workflows with Java Spring Boot, Apache Kafka and AWS Lambda, handling 50k transactions/day reducing queue backlog by 43%. Improved CI/CD pipelines using Jenkins, Maven with automated test coverage and rollback strategies.

Configured OAuth 2.0 SSO for internal banking services using Java, Spring Security enabling secure authentication across multiple tools. Authored BDD automation test suite using Cucumber, Selenium validating authentication workflows achieving 80% test coverage.

Grade: 3.9/4

Pursued a Master of Science in Computer Science with a GPA of 3.9/4. Coursework included Algorithms, Database Management Systems, Machine Learning, NLP, Software Engineering, and Computer Vision.

Earned a Bachelor of Technology in Electronics and Communication Engineering.