AZ Ahmad Zushan AI • Systems • Platform Engineering

Engineering Portfolio

I design AI products with systems-level rigor and production discipline.

My work spans end-to-end AI pipelines, LLM-powered applications, OCR and vision systems, eBPF-based telemetry, real-time voice bots, forecasting platforms, cloud infrastructure, and deployment tooling. I usually own the full path: architecture, training, evaluation, backend APIs, infra, rollout, and operational hardening.

AI Platforms Kernel Observability Voice Automation Cloud Operations
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flagship case studies documented in detail

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additional projects across AI, infra, security, voice, and product engineering

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core engineering tracks delivered end to end

Delivery style

Architecture to operations

I optimize for durable systems, not one-off demos.

Preferred scope

Multi-component products

APIs, workers, models, storage, observability, and rollout plans.

Operating principle

Pragmatic + measurable

Trade-offs are explicit, metrics are visible, and failure modes are handled.

Flagship Work

Selected projects that define how I build

These case studies show the kind of work I usually handle: multi-component architectures, production pipelines, model experimentation, traffic control, deployment, and real operational constraints.

Core Expertise

Where I usually contribute the most

AI systems & LLM workflows

I build production pipelines around LLMs, vision models, OCR systems, asynchronous job flows, validation layers, evaluation loops, prompt design, routing logic, and enterprise backend integration.

FastAPIBedrockGeminiQwen-VLClaudeRedis

Vision, OCR & model operations

I work on image quality gates, wrong-category detection, OCR extraction, model training pipelines, YOLO-based detection paths, PaddleOCR workflows, evaluation design, and structured output mapping for downstream systems.

YOLOv8PaddleOCRLayout-aware extractionEvaluation

Kernel, security & observability engineering

I explore eBPF-based capture, runtime interception, SSL/TLS boundary visibility, agent architecture, event transport, container-aware deployment, and backend intelligence around outbound data-flow analysis.

eBPFBCCByteBuddyASMLinuxKubernetes

Voice automation & conversational systems

I design telephony-to-bot workflows, audio streaming chains, speech handling, NLU orchestration, retry logic, TTS playback paths, and backend integration for real operational call flows.

FreeSWITCHESLWhisperAzure STTTTS

Cloud infra, APIs & platform hardening

I usually handle production runtime setup too: Nginx, workers, Redis queues, Postgres schemas, API auth, multi-worker tuning, S3 flows, Docker images, Kubernetes deployment, and admin/monitoring planes.

AWSAzureOCIDockerNginxPostgreSQL

Data platforms & forecasting systems

I also work on forecasting and analytical data products, building data contracts, feature layers, baseline models, causal features, and business-oriented forecasting workflows for real enterprise use cases.

ForecastingMySQLFeature pipelinesQuantile models

How I Work

My usual engineering pattern

01

Map the real problem

I usually start by narrowing the actual bottleneck: model accuracy, throughput, infra, latency, data quality, or runtime constraints.

02

Explore multiple approaches

I compare practical routes instead of forcing one tool. That may mean trying LLM-only flows, classical gates, runtime interception, or distributed queue designs.

03

Build the full pipeline

I usually own APIs, worker orchestration, model integration, storage, dashboards, load behavior, and deployment scripting together.

04

Harden for production

I care about failure modes, fallback logic, caching, rate limiting, monitoring, and making the system usable in real environments, not just in a demo.

Project Library

Broader work across AI, systems, platform engineering, and automation

Use the filters to focus on a track. The library combines flagship and additional projects so the website feels like a full profile, not just a small case-study list.

Downloads

Attached case studies

Profile Summary

Ahmad Zushan

I work across AI/ML, backend engineering, systems programming, cloud infrastructure, deployment automation, observability, and security-oriented platform design. I am most useful when a project needs someone who can move from research and prototyping into a working production pipeline.

AI / ML Engineering Platform & Backend Kernel & Security Cloud & Deployment Voice AI & Automation Evaluation & Hardening