Software Engineer with 1+ years in AI/ML workflows & cloud platforms
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Highly motivated Associate Software Engineer with experience in developing and operating large-scale AI/ML workflows and cloud-based simulation platforms. Proven ability to optimize resource usage, handle failures, and automate processes using modern technologies like Java, Spring Boot, Kafka, and Kubernetes. Strong background in mobile application development, database management, and competitive programming, with a focus on building robust and efficient distributed systems.
NIT TRICHY
B.TECH · Electrical and Electronics Engineering
August 1, 2021 – June 30, 2025
ENERGY EXEMPLAR
Associate SOFTWARE ENGINEER
July 1, 2025 – Present
Bengaluru, Karnataka, India
ENERGY EXEMPLAR
Associate Software ENGINEER, INTERNSHIP
January 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
NIT TRICHY
MOBILE APPLICATION DEVELOPER INTERN
May 1, 2024 – July 1, 2024
Tiruchirappalli, Tamil Nadu, India
AI-POWERED DISTRIBUTED WORKFLOW PLATFORM
January 1, 2026 – Present
Built a distributed workflow orchestration engine to execute multi-step business processes across microservices (Order, Payment, Inventory, Delivery, Notification). Implemented a JSON-driven workflow engine with persistent execution state, retries, and idempotent task handling. Designed Kafka-based orchestration with AI-powered log and failure analysis for automated recovery recommendations.
View ProjectGoogle Kickstart
June 1, 2026 – Present
Ethical Hacking
NPTEL
June 1, 2026 – Present
Problem Solving
HackkerRank
June 1, 2026 – Present
Code Venture
Spider R&D Club NITT
June 1, 2026 – Present
C# Fundamentals
Udemy
June 1, 2026 – Present
Vibe Code 24 hour
Energy Exemplar
June 1, 2026 – Present
Rest APIs
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a personal AI-powered distributed workflow platform and a mobile application, demonstrates initiative and a broad interest in different technical domains. Their involvement in competitive programming and various certifications suggests a continuous learning mindset. The experience with both large-scale enterprise systems (PLEXOS Cloud) and smaller, focused applications indicates adaptability. The candidate's background aligns well with a culture that values innovation, problem-solving, and continuous skill development.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving and a focus on efficiency. The development of tools like 'Sol File Magic' and 'AI dashboards' suggests an ability to identify operational bottlenecks and implement solutions. The involvement in team-based competitive programming events implies good collaboration potential. The candidate's current role and internship experience at Energy Exemplar indicate an ability to work within an established engineering organization.