Ayush Dubey profile photo 1 on Tal

Ayush Dubey

SDE Intern @ Cisco | Ex-Intern @ Microsoft | ICPC Regionalist ’25 | Specialist @ Codeforces | National Finalist @ Code with Cisco ’25

Jaipur

< 1 year of work experience

Cisco
Aug 20261 moPresent

Bengaluru, India

Cisco
Jan 20266 mosJun 2026

Bengaluru

• Designed and deployed a multi-tenant data residency architecture in Go for production log routing across 28+ AWS regions, multiple Kubernetes clusters per region, and 100+ agent pods per cluster. • Built a namespace and org-ID based log classification layer to route sovereign PII logs to in-region Loki while sending non-sensitive logs to central Loki, enabling compliant log segregation without duplicate ingestion. • Evaluated stream routing against per-agent PII encryption and chose the lighter architecture to avoid node-level crypto overhead while keeping logs readable for debugging; benchmarked the Go classifier at ~500ns per log line and ~2M lines/sec/core. • Built a zero-downtime hot-reload mechanism using an init container and sidecar, enabling tenant configuration updates across 100+ Kubernetes pods per cluster in ~90 seconds without restarts or log loss. • Built the in-region storage backend as Infrastructure as Code: a 28-resource CloudFormation stack running auto-scaling Grafana Loki on ECS Fargate (TLS 1.3, S3 + SSE-KMS, CloudWatch alarms, STRIDE threat-modeled), with EventBridge, Lambda, and Route53 service discovery forming a self-healing memberlist ring, shipped via a GitHub Actions CI/CD pipeline • Architected an autonomous vulnerability remediation system that ingests Anchore and ServiceNow CVE reports, maps findings to build repositories, and runs LLM agents per repository using Claude on AWS Bedrock to generate schema-validated fix PRs with routed Jira tickets. • Built a REST API platform for Remote Access VPN migration readiness, live deployment health checks, traffic transfer tracking, and post-cutover verification using PromQL and LogQL.
Microsoft
May 20253 mosJul 2025

Hyderabad

• Architected a Medallion Architecture data pipeline using Azure Data Factory and Databricks with PySpark to process 1M+ records per month, reducing processing time by 30%. • Engineered a forecasting solution with 20+ time series features and benchmarked models including XGBoost and LightGBM, improving predictive performance by 15% over baseline. • Designed analytics data models using Azure Synapse and Microsoft Fabric to support reporting and business intelligence workflows. • Delivered Power BI dashboards covering 50+ KPIs, enabling clearer visibility into business and operational metrics. • Worked across Azure data engineering, analytics, forecasting, and dashboarding workflows in the Cloud & AI team.

Ayush’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
cursor
cursor
hermes agent
hermes agent

Education

Manipal University Jaipur

Bachelor of Technology - BTech, Computer Science

Manipal University Jaipur

20224 yrs2026

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Headline

SDE Intern @ Cisco | Ex-Intern @ Microsoft | ICPC Regionalist ’25 | Specialist @ Codeforces | National Finalist @ Code with Cisco ’25

About

Passionate about building scalable and high-performance software systems, I love solving complex problems through clean and efficient code. Skilled in Java, C++, and Azure, with experience in designing robust architectures and working across cloud and data domains. As a Microsoft intern and competitive programmer, I thrive on problem-solving, exploring new technologies, and continuously growing as a developer. Driven by the vision to shape the future through intelligent innovation.

Location

Jaipur

AI stack

anthropic apis

claude code

claude

codex

cursor

hermes agent

Work experience

Software Engineer at Cisco, Aug 2026 - Present · 1 mo, Bengaluru, India

Software Engineer Intern at Cisco, Jan 2026 - Jun 2026 · 6 mos, Bengaluru, • Designed and deployed a multi-tenant data residency architecture in Go for production log routing across 28+ AWS regions, multiple Kubernetes clusters per region, and 100+ agent pods per cluster. • Built a namespace and org-ID based log classification layer to route sovereign PII logs to in-region Loki while sending non-sensitive logs to central Loki, enabling compliant log segregation without duplicate ingestion. • Evaluated stream routing against per-agent PII encryption and chose the lighter architecture to avoid node-level crypto overhead while keeping logs readable for debugging; benchmarked the Go classifier at ~500ns per log line and ~2M lines/sec/core. • Built a zero-downtime hot-reload mechanism using an init container and sidecar, enabling tenant configuration updates across 100+ Kubernetes pods per cluster in ~90 seconds without restarts or log loss. • Built the in-region storage backend as Infrastructure as Code: a 28-resource CloudFormation stack running auto-scaling Grafana Loki on ECS Fargate (TLS 1.3, S3 + SSE-KMS, CloudWatch alarms, STRIDE threat-modeled), with EventBridge, Lambda, and Route53 service discovery forming a self-healing memberlist ring, shipped via a GitHub Actions CI/CD pipeline • Architected an autonomous vulnerability remediation system that ingests Anchore and ServiceNow CVE reports, maps findings to build repositories, and runs LLM agents per repository using Claude on AWS Bedrock to generate schema-validated fix PRs with routed Jira tickets. • Built a REST API platform for Remote Access VPN migration readiness, live deployment health checks, traffic transfer tracking, and post-cutover verification using PromQL and LogQL.

Technology Consultant Intern at Microsoft, May 2025 - Jul 2025 · 3 mos, Hyderabad, • Architected a Medallion Architecture data pipeline using Azure Data Factory and Databricks with PySpark to process 1M+ records per month, reducing processing time by 30%. • Engineered a forecasting solution with 20+ time series features and benchmarked models including XGBoost and LightGBM, improving predictive performance by 15% over baseline. • Designed analytics data models using Azure Synapse and Microsoft Fabric to support reporting and business intelligence workflows. • Delivered Power BI dashboards covering 50+ KPIs, enabling clearer visibility into business and operational metrics. • Worked across Azure data engineering, analytics, forecasting, and dashboarding workflows in the Cloud & AI team.

Education

Bachelor of Technology - BTech, Computer Science, Manipal University Jaipur

Ayush Dubey - Software Engineer in Jaipur | Tal