Abhijeet S.
Software Engineer @Arctera
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WORK HISTORY
Software Engineer @Arctera
Nashville, TN, US
Built a GenAI troubleshooting assistant (Python + Azure OpenAI) that auto-diagnoses Elasticsearch indexing failures, certificate issues, and BCAPI alerts, reducing MTTR by 45%. • Delivered a GenAI SOP/documentation generator that converts logs, Jira tickets, and Puppet diffs into remediation steps, cutting manual write-ups and compliance reporting time by 60%. • Integrated natural-language querying into the observability stack (ElasticSearch/Grafana), improving incident-response velocity by 35%. • Automated runbook creation with OpenAI function calling + Python pipelines, generating resolution steps for recurring SRE issues (SMTP queues, AKS cert rotations, log-mover failures). • Built production-grade LangChain agents to execute multi-step RAG workflows for incident analysis + SOP generation.
EDUCATION
Tennessee Technological University
Bachelor of Science - BS, Computer Engineering
Tennessee Technological University
Master of Science - MS, Computer Engineering
SKILLS
ABOUT ABHIJEET S.
I help engineering and ops teams ship reliable cloud platforms and AI-powered automation that reduces toil and speeds recovery.What I do:• Build and operate backend/platform services on Azure + Kubernetes (AKS) with strong CI/CD and infrastructure-as-code.• Implement observability (logs/metrics/traces) and incident workflows that improve reliability and on-call experience.• Ship LLM/RAG/agent systems (Azure OpenAI, LangChain, vector DBs) for runbooks, incident triage, and operational knowledge.Outcomes I optimize: lower MTTR, less manual work, safer deployments, and systems that scale.Proof: MTTR ↓ 45% • SOP/documentation time ↓ 60% • Incident-response velocity ↑ 35%Core Tools: Python, C#, FastAPI/ASP.NET, Docker/Kubernetes, Terraform, Jenkins, ELK/Splunk, Kafka/Airflow/Spark, Azure/AWS.
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