resume

Sheikh Hafijul Ali

Software engineer focused on building high-impact automation platforms for cloud, compute, and large-scale log analysis workflows.
Strong Golang, Python, Linux, API design, and distributed systems foundation with hands-on ownership of production backend and web platforms.
Proven record of improving system performance, including 98% response-time reduction and 60% reduction in engineering analysis effort through GoParseIt.
Experienced in async processing, concurrent archive extraction, session-based workflows, telemetry, enterprise authentication, and AI-assisted analysis systems.
Active builder of agentic AI and MCP-based workflows that convert complex operational data into structured engineering insights.

Technical Skills	Leadership Skills
Golang / Python	Technical Ownership
Distributed Systems	Architecture Thinking
System Design	Product-minded Execution
Linux / Cloud-native Systems	Cross-team Collaboration
Kubernetes / Docker	Mentoring and Enablement
API and Platform Design	Clear Technical Communication
Async and Concurrent Systems	Decision Making
Observability / Telemetry	Delivery Accountability
PostgreSQL / Data Modeling	Reliability Mindset
React / TypeScript	Continuous Learning
Agentic AI / MCP Workflows	Stakeholder Alignment
Automation / CI-CD	Engineering Excellence

Own platform and cloud automation initiatives within Cisco Compute Engineering for server, Fabric Interconnect, and Intersight analysis workflows.
Architected and delivered GoParseIt, a production log-analysis platform with a Golang backend, concurrent archive extraction, async scanning pipeline, session-based processing, and a Fusion web experience.
Reduced system response time by 98% through parser pipeline optimization, result rendering improvements, session recovery, and more efficient backend/frontend data flow.
Automated high-volume log bundle analysis, reusable method execution, and report generation, reducing engineering analysis effort by 60% for deeply nested UCS and Intersight evidence bundles.
Extended the platform toward AI-assisted engineering workflows using Circuit API, MCP concepts, telemetry, and multi-agent analysis to generate structured investigation summaries from large log datasets.

Led an end-to-end defect orchestration initiative for cross-functional engineering teams, improving visibility across defect intake, investigation, and follow-up workflows.
Built a Cisco SD-WAN automation framework that standardized data collection and workflow execution, improving operational efficiency by 50%.
Converted recurring engineering workflows into reusable automation patterns, reducing manual coordination and improving consistency of technical handoffs.
Mentored junior engineers on debugging methodology, automation design, and practical production-support workflows.

Analyzed complex Cisco Catalyst Center issues across platform, application, and workflow layers, translating field symptoms into actionable technical findings.
Built multiple internal engineering tools to automate repetitive diagnostics, orchestrate complex workflows, and reduce manual investigation time.
Authored technical design and product analysis documents for Cisco Catalyst Center, improving knowledge reuse across engineering teams.
Partnered with engineering stakeholders to analyze logs, isolate failure patterns, and improve operational playbooks for recurring product issues.

Built an internal knowledge portal for engineers to quickly access frequently used operational and product data.
Redesigned the backend using FastAPI, improving response times and overall system performance by 40%.
Implemented frontend state management and safer data handling to improve usability, responsiveness, and reliability for internal users.

Internal Cisco Compute log-analysis platform with a Golang backend, Fusion web UI, CLI/API surfaces, and reusable analysis method catalog.
Built session-based processing across upload, concurrent archive extraction, async scanning, result review, telemetry, enterprise auth, and method execution.
Reduced system response time by 98% and engineering analysis effort by 60% across UCS, Fabric Interconnect, and Intersight log bundles.
Extended the platform toward AI-assisted analysis using Circuit API, MCP workflow orchestration, and parallel agents for structured report generation.

Golang deployment orchestration service for managing containerized server workloads through HTTP REST APIs.
Designed non-blocking execution flows for long-running deployment commands, improving API responsiveness and operational control.
Built Docker/containerd-compatible runtime packaging with environment-based configuration for repeatable deployment.
Added guarded command execution and state handling patterns to reduce deployment drift across repeated operations.

Re-implemented a Webex-style collaboration client in Flutter with a focus on lightweight performance and minimal UI overhead.
Designed cross-platform application flows for messaging-oriented interactions while keeping the client portable across Flutter targets.
Used the project to explore lean client architecture, state handling, and performance tradeoffs in real-time communication interfaces.

Go-based command-line client for interacting with remote file browser services across Linux, macOS, and Windows.
Built upload, download, delete, and listing workflows with aliases, environment-based configuration, and token/user authentication support.
Implemented smart directory handling for recursive uploads and downloads, reducing manual file-management steps.
Added concurrent directory uploads to improve throughput for larger file transfer operations.

JavaScript-based workflow dashboard for generating automated Methods of Procedure (MoP) for network migration planning.
Reduced manual planning effort by 80% through automated data collection, transformation, and document generation.
Integrated internal APIs to convert migration inputs into consistent, repeatable execution plans.

Gold performer in automation skills at Cisco.
Recognized by Cisco leadership for high-impact engineering automation and platform delivery.
Recognized as one of the best performing students at college.