Home / Internships

Where I learned to engineer and validate networks.

Three roles across software engineering, full-stack development, and data analytics — each leaving a measurable mark on production systems.

01 · Networking & Software Engineering 1+ Year & Continuing
Arista Networks · Software Engineering
End-to-EndNetwork Validation
Multi-DeviceTopology Design

Software Engineer Intern → Apprentice

Arista Networks

Intern (1 Year) · Now Apprentice · On-site · Enterprise Networking & Cloud Infrastructure

Started as an intern validating networking features end-to-end on Arista EOS — designing multi-device topologies, testing routing protocol configurations, and troubleshooting issues at the packet level. Now continuing as an apprentice, with deeper exposure to enterprise networking infrastructure, Linux systems, and Python automation.

What I Owned

  • Translated specs, design docs, and protocol references into traceable test plans with explicit pass/fail criteria for networking features.
  • Designed multi-device topologies — switches, routers, hosts, traffic generators — on Arista EOS and ran functional, regression, scale, and stress passes.
  • Validated features including routing protocols (BGP, OSPF), VLANs, link aggregation, QoS policies, multicast configurations, and HA failover scenarios.
  • Debugged network issues at the packet level using tcpdump and Wireshark; filed actionable bug reports with reproduction steps, logs, and root-cause hypotheses.
  • Performed release-readiness sign-off after running the full validation matrix; collaborated across time zones with developers and cross-functional teams.
  • Built Python automation for topology provisioning, log scraping, configuration validation, and result diffing — wired into CI/CD pipelines.
  • Gained hands-on experience with Linux systems administration, network infrastructure changes, and connectivity validation workflows.

Tools & Tech

Arista EOS Python Linux / Unix BGP / OSPF Wireshark tcpdump L2 / L3 Switching VLANs / QoS / HA Multicast Link Aggregation Jenkins / CI/CD Git Data Center Ops

Engineering Practices

Spec-Driven Test Design Topology Planning & Deployment Root-Cause Analysis Network Troubleshooting Release Validation & Sign-Off Cross-Functional Collaboration
02 · Full-Stack Industry Client
CAS Cashew Automation System
Real-TimeData Tracking
End-to-EndManufacturing Flow

Software Development Intern

Shayonam Consultancy Services

Client Project · Ahmedabad-based Cashew Manufacturer

Designed and built the Cashew Automation System (CAS) — a web-based operations platform that streamlined the entire cashew manufacturing pipeline, from shelling through grading to packaging. Replaced spreadsheet-based tracking with real-time dashboards that gave shop-floor operators and management a single source of truth.

Outcomes Delivered

  • Built modules for end-to-end production monitoring across shelling, grading, and packaging stages.
  • Implemented real-time data capture and dashboards giving management instant visibility into plant throughput.
  • Reduced manual logging effort and human-error rates by digitizing previously paper-based workflows.
  • Drove consistent product quality through digitized workflow checkpoints and traceability.
  • Coordinated directly with the client to gather requirements, demo iterations, and refine UX based on operator feedback.

Skills Sharpened

PHP MySQL HTML / CSS JavaScript Requirement Gathering Client Communication UI/UX Iteration
03 · Data Analytics CRBOX
IBM SkillsBuild · Python Analytics
3+Visualization Libs
InsightDriven Reports

Data Analytics Intern

IBM SkillsBuild — CRBOX

Industry Program · Project: Analyzing using Python Libraries

Built deep working proficiency in modern Python data-visualization tooling — translating complex, multi-dimensional datasets into clear, decision-ready narratives. The work bridged raw data and stakeholder action: every chart, every report, mapped directly to a question someone needed answered.

Highlights

  • Used Sweetviz to generate side-by-side comparative reports across dataset slices.
  • Adopted D-Tale for live, interactive exploration of pandas DataFrames during analysis sessions.
  • Visualized geospatial datasets with Folium — choropleths, marker clusters, and layered overlays.
  • Generated datasets in diverse forms (categorical, time-series, geo) to surface patterns hidden in raw exports.
  • Authored comprehensive analysis reports synthesizing findings into clear, actionable insights for review.

Skills Sharpened

Python Pandas Sweetviz D-Tale Folium

Looking for someone with real networking domain experience?

Let's talk about how my ongoing Arista EOS experience, Linux skills, and automation mindset map to your team.

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