Software Developer, AI Enthusiast & Cloud Technology Specialist.
I’m Jaya Raj Srivathsav Adari, a dedicated software developer with expertise in AI, web development, and cloud technologies, driven by a passion for creating innovative solutions that empower users and make a global impact.
Contribution Graph
Education
New Jersey Institute of Technology
Master's in Computer Science
Newark, NJ, USA
KLUniversity
Bachelor of Technology in Computer Science and Engineering
Vijayawada, India
Work Experience
Verizon
Capstone Research Intern
Developed a robust data lake architecture leveraging Apache Kafka for high-throughput ingestion and real-time processing of log data across VPMC instances. Integrated Airflow for automated SFTP transfers to PostgreSQL staging, Spark for ETL and feature extraction, and Apache storage for real-time and historical data management. Built a predictive model pipeline with MLflow, using LSTM and anomaly detection for fault prediction, and deployed real-time inference via TensorFlow Serving, supporting auto-remediation and continuous improvement with feedback loops monitored by Prometheus and visualized through Grafana.
Chegg
Subject Matter Expert - Part Time
Phygital24/Migrocer
Software Developer Intern
Implemented responsive client-driven functionalities in Flutter for high-quality user experiences, with integration automation tests for error-free production. Developed automated Postman test suites for daily API validation, reducing downtime by monitoring API health and alerting on errors. Enhanced backend functionality by resolving issues, adding features, and optimizing scripts in Ruby on Rails.
KL University
Teaching Assistant
Samsung
Software Developer
Designed and implemented “Squeeze” and “Unsqueeze” operations within ONNX models to improve photo quality on Samsung’s low-end devices, optimizing pixel compression and decompression for clearer images. Led the development of custom parsers and operations for running deep neural networks on mobile, enabling AI functionality across CPU and GPU by integrating new operations, creating parsers, and ensuring compatibility with multiple model formats.