Haseeb Arshad
AI systems · platform engineering · production delivery
I’m a Forward Deployed AI Engineer at PolyAI, building production voice agents and the integrations that make them useful. Outside work, I run a three-node Kubernetes lab where I design the whole operating system around an application: GitOps delivery, zero-trust access, local AI, observability, replicated data, backups, and recovery. I care about software that works on launch day and remains understandable when something fails six months later.
What I Do
Conversational AI
I build and deploy enterprise voice AI agents that handle real conversations — from appointment booking to lead capture — integrating telephony, EHR, and CRM systems into seamless automated workflows.
Back-End Engineering
I architect high-performance server-side systems using Python, Django, and Node.js — building scalable APIs, microservices, and data pipelines that power production applications.
AI / ML Engineering
I design and deploy LLM-powered solutions using LangChain, LangGraph, and RAG pipelines — from prompt engineering and multi-agent orchestration to production AI observability.
Platform Engineering
I build cloud-native platforms across AWS, GCP, and bare metal — Kubernetes, GitOps delivery, identity-aware access, replicated storage, and tested recovery.
Reliability & Observability
I connect user-visible availability to metrics, traces, logs, synthetic probes, capacity signals, and actionable alerts so teams can diagnose causes instead of guessing.
API Integration
I specialize in integrating complex third-party APIs — Salesforce, healthcare EHR systems, payment gateways, and telephony providers — building resilient, fault-tolerant data flows.
Independent infrastructure lab
Production engineering, built at home
I designed and operate a three-node Kubernetes environment as a full production system: immutable delivery, identity-aware access, replicated data, local AI, observability, backups, and tested recovery. These are selected case studies from 24 documented builds.
Core platform
Highly Available Kubernetes Homelab
A three-node, production-style k3s platform designed for node loss, repeatable recovery, and continuous GitOps reconciliation.
3
control-plane nodes
HA
embedded etcd
3x
replicated state
Delivery engineering
GitOps Delivery and Immutable Releases
A source-to-production pipeline that builds containers, resolves immutable image digests, validates desired state, and lets Argo CD perform controlled rollouts.
100%
digest-pinned images
3
website replicas
5 min
release detection
Zero-trust access
Identity-Aware Edge and Remote Access
A layered access plane combining automatic TLS, single sign-on, two-factor authentication, client certificates, and outbound-initiated VPN paths.
2
edge replicas
2FA
operator access
mTLS
sensitive clients
Operational intelligence
Server Command Center and Full-Stack Observability
A monitoring system that connects user-visible availability to Kubernetes health, storage, networking, hardware, and actionable alerting.
151
command-center panels
31 days
metric retention
60s
public probes
Internet-facing infrastructure
Self-Hosted Mail Platform with Public SMTP Edge
A multi-domain mail system with a highly available core, hardened public relay, webmail, authenticated submission, and end-to-end delivery verification.
4
hosted domains
3
mail-core replicas
100%
import hash match
Private generative AI
Jarvis Local AI Platform
A private AI workspace that routes coding and general workloads to locally hosted models on a dedicated RTX workstation.
7
managed models
30B
coding model
Local
inference boundary
Testimonials
"Haseeb is one of those engineers who just gets things done. He ramped up on our agent deployment stack incredibly fast, took full ownership of complex EHR integrations, and consistently delivered under tight go-live deadlines. A reliable teammate you can always count on."
Milos Kostic
Software Engineer, PolyAI
"Working with Haseeb on the Docs Dermatology project was a great experience. He took initiative on the API integration, built out the real-time config tooling, and was always proactive about catching issues before they hit production. He bridges the gap between engineering and product seamlessly."
Ryan Creeser
Product Support Manager, PolyAI
"Haseeb grew from a junior engineer to leading critical projects like AutoMarket Analytics and SecureTaxOffice. His ability to build scalable backend systems, mentor teammates, and take ownership of production infrastructure made him an invaluable part of our engineering team."
Ahmad Raza
Engineering Lead, Datics AI
Clients
Docs Dermatology
Healthcare
Grace Health
Healthcare
Harmar
Home Accessibility
72Sold
Real Estate
SeekNow
Insurance
PeerLogic
Dental AI
AutoMarket Analytics
Automotive
DriveSmart CRM
Automotive
SecureTaxOffice
Government / Tax
Forward Deployed AI Engineer
PolyAI
- Build and launch production conversational AI voice agents across healthcare, real estate, and accessibility programs
- Integrate Salesforce, EHR, telephony, scheduling, and internal APIs into latency-sensitive voice workflows
- Own client go-lives from sandbox validation through production rollout, monitoring, and hypercare
- Develop Python GenAI functions and cloud-native services across AWS, GCP, and Kubernetes
Software Engineer
PeerLogic
- Designed LLM-powered workflows with LangChain and LangGraph for production conversation processing
- Built multi-agent scheduling across SMS and voice channels with resilient third-party integrations
- Developed Vue.js interfaces and Google Cloud Functions for transcript processing and operational insights
- Integrated GoTo, Bandwidth, NetSapiens, RingCentral, and NexHealth through webhooks and media pipelines
Software Engineer
Datics AI
- Built Django REST Framework services and React applications for automotive analytics and public-sector tax administration
- Designed crawler infrastructure capable of coordinating up to 10,000 workers using Django, Scrapy, and Beautiful Soup
- Created production AWS architectures, deployment pipelines, and database-backed integrations
- Mentored engineers across back-end development, system design, and delivery practices
Trainee Software Intern
Questra Digital
- Delivered website features through a Git-based CI/CD workflow in a distributed team
- Collaborated through Jira, Slack, and Trello to plan, review, and release changes
Web Developer Intern
Petsaal Tech
- Built and maintained customer-facing PHP, JavaScript, HTML, and CSS features
Education
University of Central Punjab
BSCS (4 years)
Core Courses
Engineering Courses
Technical Toolkit
AI Systems
Agents and retrieval
Voice and language
Application Engineering
Back end
Front end and integrations
Cloud and Platform
Infrastructure
Delivery and reliability
Licenses & Certifications
LangChain & Vector Databases in Production
ActiveLoop
November 2023
AWS Fundamentals: Going Cloud-Native
Coursera
August 2020
Complete Python/Django Mastery
Code with Mosh
September 2021
Complete SQL Mastery
Code with Mosh
September 2021
The Ultimate Docker Course
Code with Mosh
September 2021
The Ultimate Git Course
Code with Mosh
September 2021
Awards & Honors
Field notes
Latest engineering articles
Design decisions, failure modes, and practical lessons from production AI and the homelab.
Building a Three-Node Kubernetes Homelab That Fails Gracefully
The design decisions behind a highly available k3s platform with GitOps delivery, replicated storage, and deliberate failure boundaries
Observability as a Product Surface, Not a Wall of Charts
How I connected service discovery, synthetic checks, infrastructure metrics, alerts, and runbooks across a production-style homelab
Self-Hosting Mail Behind Residential Internet Without Pretending the Network Is Reliable
A resilient mail architecture using a public SMTP queueing edge, WireGuard transport, a highly available mail core, and cryptographic migration checks
Designing a Local-First AI Platform Around an RTX Workstation
How I separated AI control, model routing, GPU inference, speech, and browser access to keep private work local and observable