Chandan Mohanty
@chandanmohanty
Full-stack software engineer specializing in backend systems, AI integrations, and scalable observability solutions.
What I'm looking for
I am a full-stack software engineer with hands-on experience building backend systems, observability pipelines, and AI-powered assistants for enterprise platforms. At Zscaler I resolved critical JVM memory issues, implemented RBAC across API and UI layers, and drove a UI modernization that substantially reduced test development time.
I design and integrate context-aware LLM assistants and RAG pipelines that provide role-scoped, conversational access to product context, logs, and metrics, improving debugging efficiency. I also built automated secure pipelines for configuration delivery and high-throughput CSV/Excel ingestion that cut manual processing time by 90%.
I value reliable, scalable systems and measurable impact—delivering production-grade solutions with observability, CI/CD, and security best practices while mentoring cross-team efforts and driving platform reliability under tight deadlines.
Experience
Work history, roles, and key accomplishments
Resolved critical JVM memory leaks in a multithreaded audit engine to improve reliability and audit accuracy by 20%; designed an LLM-based knowledge assistant with role-aware inference to streamline debugging and access to configs, logs, and metrics.
Education
Degrees, certifications, and relevant coursework
Gandhi Institute of Engineering and Technology University
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: 8.5/10
Completed a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.5/10, focusing on software development, AI integrations, and full-stack engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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