Kartheekraj Bhogi

Software Developer | Reliance Jio – JTC (Jio Total Charge – OCS)

October 2022 – Present

• Designed and maintained scalable microservices using Spring Boot, Core Java 8, and REST APIs for a mobile recharge platform.
• Owned the Recharge Module, leading backend API development, debugging, and integration.
• Developed simulators for product demos and client-side testing.
• Deployed services using Docker in clustered environments for high availability.
• Conducted functional and load testing using JConsole; ensured system resilience.
• Integrated Kafka for asynchronous, fault-tolerant communication across services.
• Engineered high-performance data storage using Aerospike, ensuring low-latency access.
• Monitored Aerospike clusters for real-time health and availability; tuned performance.
• Improved code quality through SonarQube and contributed to CI/CD pipelines.
• Authored technical documentation: HLD, LLD, Functional Specs, and Performance Guides.
• Acted as a mentor for onboarding and training new team members.

Machine Learning Developer | VAILS Project (Vigilant Artificially Intelligent Linguistic System)

September 2024 – Present

• Developed end-to-end ML pipelines for Spam Detection, Sentiment Analysis, Emotion Detection, and Phishing Detection using Supervised Learning algorithms.
• Utilized Scikit-learn, NumPy, Pandas, Matplotlib, and Seaborn for model training, data preprocessing, and visualization.
• Engineered robust feature extraction techniques for text classification tasks using NLP methods.
• Designed and evaluated models using metrics such as accuracy, precision, recall, and F1-score.
• Implemented secure data logging mechanisms using Symmetric Encryption to protect sensitive information.
• Worked in Python using PyCharm and Jupyter Notebook for rapid prototyping and experimentation.
• Collaborated with cross-functional teams to integrate ML models into production systems, ensuring performance and reliability.