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Varun Kumar Kota
Mid-level Software Engineer specializing in cloud, data engineering, and AI/ML
RemoteAI Research Contributor3 years experienceMid-LevelTechnologyArtificial IntelligenceCloud Computing
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About
Backend/platform engineer who owned an AI-powered resume optimization service end-to-end (FastAPI + Celery + Redis/Postgres) and optimized it for unpredictable LLM task latency. Strong Kubernetes/GitOps practitioner (Helm, autoscaling, probes, ArgoCD rollbacks) with experience in on-prem-to-cloud migrations using Terraform and CDC-based replication, plus real-time Kafka pipelines monitored via Prometheus/Grafana.
Experience
AI Research ContributorHandshake
Software EngineerCommunity Dreams FOUNDATION
AI Research AssistantUniversity at Buffalo
Software EngineerKreditbee
Education
University at Buffalo, The State University of New Yorkmaster, Data Science (2025)
Vellore Institute of Technologybachelor, Electronics and Computer Engineering (2023)
Key Strengths
- Designed and implemented end-to-end backend architecture for an AI-powered resume optimization service
- Built FastAPI services with validation, authentication, and rate limiting
- Implemented async job processing with Celery to prevent long-running LLM tasks from blocking API requests
- Improved Celery reliability/performance by splitting tasks, adding retries, and using correlation IDs for debugging
- Deployed and operated services on Kubernetes with Helm, autoscaling, probes, and secrets/config management
- Implemented GitOps CI/CD with GitHub Actions + ArgoCD, including drift correction and automated rollback
- Planned and supported on-prem-to-cloud migration using dependency mapping, containerization, parallel environments, blue-green cutover, and rollback plans
- Built and operated Kafka streaming pipeline; handled out-of-order events and consumer lag with idempotency, partitioning, and offset management
- Set up observability for streaming systems using Prometheus/Grafana with alerting and Kafka Manager for partition/rebalance oversight
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