Career Timeline
Experience.
5 roles across 4 organizations spanning software engineering, AI/ML, and cloud infrastructure.
/
Software Engineer 2
DigitalOcean
Software Virtual Networking Team
Sept 2025 – Present|San Jose, USA
GoLangOVSeBPFGrafanaConcourseKubernetesKafka
- Developed Go-based raw socket service with AF_PACKET and BPF filtering for hvloopback reachability testing, processing 100k+ packets/second with sub-millisecond latency
- Extended eBPF packets parsing for VPC/ARP traffic processing 500k+ packets/second, migrated hvflowd to ebpfd using gRPC achieving 35% latency reduction
- Implemented OpenVSwitch APIs reducing interface lookup time from 50ms to 5ms for cloud-scale virtual networking
Software Engineer Intern
DigitalOcean
AI/ML Team
July 2025 – Sept 2025|San Jose, USA
GoLangPythonGraphQLREST APIsPrometheusGrafana
- Deployed production-ready ML models for critical infrastructure crash prediction, achieving 92.5% accuracy with Random Forest
- Developed end-to-end scalable data processing pipeline with Python, GraphQL, REST APIs, Prometheus & Grafana
- Reduced feature complexity by 37% while maintaining optimal model performance through feature engineering
Research Assistant
Lucas College of Business, SJSU
Dec 2023 – May 2025|San Jose, USA
GoLangKubernetesAWSOpenAISpark Structured Streaming
- Developed a Kubernetes autoscaling framework in Go with Prometheus-driven custom metrics and HPA
- Migrated legacy Java services to goroutine-optimized Go, cutting backend API response time by 20%
- Onboarded two services to autoscaling framework, reducing job queue times by 15% and saving $2K/month
Software Engineering Intern
National Institute of Technology Warangal
Jan 2022 – June 2022|Warangal, India
PythonDjangoDockerReact.jsTypeScriptGitHub Actions
- Engineered high-performance RESTful APIs with Python & Django, reducing response times by 20%
- Automated MongoDB replication and server provisioning via Python/Bash scripts with Prometheus monitoring
- Designed dashboards with React.js & TypeScript, shrinking bundle size by 30% with code-splitting
Software Engineering Intern (AI/ML)
1Stop.ai
Sept 2021 – Nov 2021|Tadepalligudem, India
JavaSpring BootSpring MVCSpring BatchRedis
- Designed and deployed Spring Boot microservices to serve ML models via REST, achieving 95% prediction accuracy
- Implemented scalable Spring MVC controllers with Redis caching for high-concurrency inference pipelines
- Automated model updates using Spring Batch and scheduling, streamlining retraining workflows
5
Roles
4
Companies
4+
Years Active
24+
Technologies