Software Engineer with 1+ years in Java, Spring Boot, and AI Automation
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Assessing your cultural and operational fit
Software Engineer with 1 year of experience at Turvo, working with Java and Spring Boot on scalable backend systems. Contributed to multi-tenant platforms, billing automation, and data services. Also experienced in AI agents, prompt engineering, and emerging agentic workflows.
Keshav Memorial Institute of Technology
B.Tech
August 1, 2020 – June 30, 2024
Vision40 IIT-JEE and NEET Academy
Intermediate
June 1, 2018 – May 31, 2020
State Board Matrusri E and L School
Class 10th
June 1, 2017 – May 31, 2018
Turvo
Software Trainee Engineer (Java Developer)
March 1, 2025 – Present
India
Health Care Observatory Data
June 24, 2026 – Present
Built an IoT system using ESP32 to stream real-time temperature data via AWS WebSocket APIs. Integrated AWS services with Unreal Engine for real-time 3D visualization of the data in the form of a human figure.
Health OpenClaw Trading Agent
June 24, 2026 – Present
Developed an automated trading agent by integrating a personal environment with the OpenClaw platform. The agent was fed strategies and logic derived from best-in-industry paid standard courses to guide automated trading execution.
Cybersecurity Awareness Essentials for Employees
Knowledge Accelerators/Coursera
January 15, 2026 – Present
Root Cause Analysis: Principles and Benefits
Coursera
September 19, 2025 – Present
Spring Boot Foundations
Packt/Coursera
April 14, 2025 – Present
Cultural Fit Analysis
The candidate's experience with diverse projects (IoT, automated trading, multi-tenant platforms) and exposure to AI agents suggests adaptability and a willingness to explore new domains. Their involvement in data migration and cluster upgrades, along with contributions to improving feature reliability, indicates a proactive and responsible approach to engineering. The certifications in 'Root Cause Analysis' and 'Cybersecurity Awareness' further highlight a commitment to best practices and continuous learning, aligning well with a culture of quality and security.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills by identifying a critical pricing issue and contributing to bug fixes and feature enhancements. Their work on documenting billing workflows suggests an understanding of maintainability and team collaboration. Exposure to AI agents and integration with engineering tools indicates an interest in operational efficiency and adopting new technologies.