About Muhammad
🔹AI/ML & GenAI engineer with ~4 years combined experience across backend APIs and AI applications— I ship to production.
🔹Started in backend: designed/optimized REST APIs and web apps (Python frameworks, PHP/Laravel, JavaScript), added auth, middleware, rate-limits, retries, and monitoring. 🔹Grew into GenAI/ML: built text-to-query, RAG pipelines, conversational/voice assistants, and automation; added guardrails, evals, and safe rollbacks.
🔹Measured impact (representative): manual reporting ↓ ~70%, typical response <1s, call handle time ↓ ~60%, sales conversion ↑ ~30%.
🔹Cloud & DevOps: containers, CI/CD, logging/monitoring, alerts, feature flags; deployments on major clouds.
🔹Data/ML: ETL basics to model training (NN/ML); hands-on with evaluation sets, latency/error SLOs, and dashboards.
🔹Research exposure: RAG optimization + explainable medical AI (published/in-progress). 🔹What I bring: API-first thinking, observable systems, documentation/design notes, and pragmatic delivery at EU speed.
📍Dublin, Ireland · Eligible to work in Ireland, Europe · Targeting AI Applications / AI Systems / Applied AI / Conversational AI / Data / Backend (AI features) roles.
Urdu
Native or bilingual
English
Fluent
Punjabi
Native or bilingual
Hindi
Fluent
Can work on-site
Dublin (up to 50km)
Experience
- RolusTechMachine Learning EngineerDIGITAL AND ITJanuary 2024 - September 2025 (1 year and 8 months)Lahore, Pakistan
- Text-to-SOQL for Salesforce: Problem—sales users needed reports without query skills. Action—few-shot prompts, schema/tool hints, validation & safe-query checks; Result ↓ 70% less manual reporting, sub-second typical responses; Tech—FastAPI, Azure OpenAI, Docker on AWS ECS/ECR/EC2.
- Conversational Call Assistant: Problem—front-desk overload. Action—Vapi.ai flows + CRM webhooks, intent handling, human handoff; Result—hundreds of calls/day, sales ↑ 30%, handle time ↓ 60%; Tech—Vapi.ai/N8N/Make.com, CRMs, webhooks.
- Document Q&A (RAG): Problem—scattered docs. Action—ingestion (chunking/metadata), embeddings, citation prompts, tiny eval harness; Result—fewer wrong answers & faster replies; Tech—Azure AI Search, LangChain/LlamaIndex.
- Added evaluation sets, latency/error dashboards, and feature flags for ml models; authored short design notes/runbooks.
- Disruptive EffectsSoftware Engineer (Backend)DIGITAL AND ITFebruary 2021 - December 2023 (2 years and 10 months)Lahore, Punjab, Pakistan
- E-commerce & APIs: Designed REST endpoints and admin UIs → reduced downtime with query/index tuning and input validation; Laravel/Blade/Vue, MySQL.
- Automation/Scraping: Built schedulers, retries/backoff, and data cleaning pipelines; Python (Flask/FastAPI), Playwright/Selenium.
- Deploy & Ops: Shipped to cPanel/AWS/Azure, implemented JWT auth, rate-limits, and logging.
- Roman Roofing – Instant Quotes: Automated address→estimate flow → hours of manual site visits eliminated; Laravel+Vue, EagleView, Stripe, cron/PDF/e-sign, AWS.
- Media Backend (Word of Promise/VivaBiblia): Containerized backend serving text-synced audio; Flask/FastAPI, Docker, AWS Fargate/ECR/EC2, CloudWatch
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Education
- AWS Cloud PractitionerAWS Cloud Practitioner
- Azure FundamentalsAzure Fundamentals