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Hi, I’m Muhammad Abdullah Bilal, a results-oriented Full Stack Product Engineer with hands-on experience building scalable full‑stack applications and implementing AI-powered pipelines. I hold a Master of Science in Computer Science from Oklahoma State University and have led engineering teams to optimize SaaS products, drive revenue growth, and design backend architectures with AI agentic capabilities. I enjoy turning complex problems into robust solutions and collaborating across product, design, and analytics to deliver measurable impact. I excel at delivering impactful solutions in AI, SaaS, and enterprise ecosystems, bridging product goals with technical excellence. I thrive in collaborative, data-driven environments and enjoy building robust backend and frontend systems, crafting data analytics to boost user engagement and business outcomes.…Hi, I’m Muhammad Abdullah Bilal, a results-oriented Full Stack Product Engineer with hands-on experience building scalable full‑stack applications and implementing AI-powered pipelines. I hold a Master of Science in Computer Science from Oklahoma State University and have led engineering teams to optimize SaaS products, drive revenue growth, and design backend architectures with AI agentic capabilities. I enjoy turning complex problems into robust solutions and collaborating across product, design, and analytics to deliver measurable impact. I excel at delivering impactful solutions in AI, SaaS, and enterprise ecosystems, bridging product goals with technical excellence. I thrive in collaborative, data-driven environments and enjoy building robust backend and frontend systems, crafting data analytics to boost user engagement and business outcomes.

Muhammad Abdullah Bilal

Full Stack Developer, Web Developer, Developer, +2

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Hi, I’m Muhammad Abdullah Bilal, a results-oriented Full Stack Product Engineer with hands-on experience building scalable full‑stack applications and implementing AI-powered pipelines. I hold a Master of Science in Computer Science from Oklahoma State University and have led engineering teams to optimize SaaS products, drive revenue growth, and design backend architectures with AI agentic capabilities. I enjoy turning complex problems into robust solutions and collaborating across product, design, and analytics to deliver measurable impact. I excel at delivering impactful solutions in AI, SaaS, and enterprise ecosystems, bridging product goals with technical excellence. I thrive in collaborative, data-driven environments and enjoy building robust backend and frontend systems, crafting data analytics to boost user engagement and business outcomes.…Hi, I’m Muhammad Abdullah Bilal, a results-oriented Full Stack Product Engineer with hands-on experience building scalable full‑stack applications and implementing AI-powered pipelines. I hold a Master of Science in Computer Science from Oklahoma State University and have led engineering teams to optimize SaaS products, drive revenue growth, and design backend architectures with AI agentic capabilities. I enjoy turning complex problems into robust solutions and collaborating across product, design, and analytics to deliver measurable impact. I excel at delivering impactful solutions in AI, SaaS, and enterprise ecosystems, bridging product goals with technical excellence. I thrive in collaborative, data-driven environments and enjoy building robust backend and frontend systems, crafting data analytics to boost user engagement and business outcomes.

Available to hire

Hi, I’m Muhammad Abdullah Bilal, a results-oriented Full Stack Product Engineer with hands-on experience building scalable full‑stack applications and implementing AI-powered pipelines. I hold a Master of Science in Computer Science from Oklahoma State University and have led engineering teams to optimize SaaS products, drive revenue growth, and design backend architectures with AI agentic capabilities. I enjoy turning complex problems into robust solutions and collaborating across product, design, and analytics to deliver measurable impact.

I excel at delivering impactful solutions in AI, SaaS, and enterprise ecosystems, bridging product goals with technical excellence. I thrive in collaborative, data-driven environments and enjoy building robust backend and frontend systems, crafting data analytics to boost user engagement and business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

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Language

English

Fluent

Work Experience

Senior Software Engineer (Onsite) at Flameco Industries Inc

March 1, 2025 - Present

Developed Customer Portal in Next JS and Nest JS, linked with Netsuite APIs to integrate key customer information. Deployed on Azure Static Web App and Azure App Service. Built a RAG-based chatbot agent to configure draft burners using combustion manuals with Chroma DB and Langchain agentic tools. Implemented Python automation to create parts/models from Netsuite CPQ for Autodesk Inventor Vault and automated BoM. Digitized old order/invoice records (1980s–2005) using Python and Azure OCR with AI Agent SDK, saving data to PostgreSQL. Created a mobile web app for manufacturing floor operations including Purchase Orders, shipments, and RMAs.

Technical Lead Javascript Team at ADL Y

March 1, 2025 - October 13, 2025

Spearheaded 15 developers across 3 teams, defining the strategy and long-term technical roadmap for an AI-powered SaaS product. Led sprint planning in Asana to drive revenue growth. Implemented revenue-focused cohort features, boosting paid conversions; integrated Google and PostHog analytics with Chargebee. Built an in-house cohort testing framework using Redis and NestJS, and designed data pipelines for user session tracking and conversion insights. Coordinated with marketing for paid social funnels, directed releases on GCP Cloud Run, and managed weekly QA-driven Rollouts.

Team Lead at SMODIN

April 1, 2024 - October 13, 2025

Directed a team of 10+ full-stack developers, executing bi-weekly sprints on Jira and delivering milestones on time. Optimized frontend architecture to reduce ticket times and cut development costs by 30%. Led 6 developers to deliver critical Smodin Grader and Author features for B2B clients with zero production bugs. Oversaw a UX/UI overhaul and pricing strategy, driving a 20% per-user revenue increase.

Full Stack Developer at SMODIN

October 1, 2022 - October 13, 2025

Designed and implemented backend services and contributed to frontend for Smodin AI Grader (US schools). Built bulk grading with GCP Pub/Sub, and developed the AI Author tool (Next.js, NestJS) with LLMs, RAG, and proxy-based Chromium scrapers. Optimized text matching and tokenization for a plagiarism tool, reducing response times and costs via Docker.

Full Stack Developer at WINDSOR AI

January 1, 2022 - October 13, 2025

Enhanced marketing landing page UX, integrated real-time social data streams for personalized content, and built social media API integrations with PostgreSQL using cron-based data synchronization.

Machine Learning Engineer at CELERIS TX

October 1, 2021 - October 13, 2025

Deployed ML experiments for drug discovery, integrating Graph Neural Networks in TensorFlow for PPI modeling. Implemented Python utilities with PyTorch, Pandas, and NumPy for model training. Explored GANs for 3D graph data and ran experiments in AWS SageMaker with Terraform and EC2.

Senior Software Engineer at Flameco Industries Inc.

March 1, 2025 - Present

Developed Customer Portal in Next.js and NestJS, linked with Netsuite APIs; deployed on Azure Static Web App and Azure App Service. Built a RAG-based chatbot (Flameco Applications Engineer) to configure draft burners using combustion manuals with Chroma DB and LangChain agentic tools. Implemented Python automation to create parts/models from Netsuite CPQ configurator and save BoM to Autodesk Inventor Vault Library. Digitized old hard-copy orders/invoices (1980s–2005) using Python, OpenAI Agent SDK, and Azure OCR to extract fields into PostgreSQL. Created a mobile web app for manufacturing floor to handle Purchase Orders, shipments, and RMAs.

Technical Lead Javascript Team at ADLY

March 31, 2025 - October 13, 2025

Spearheaded 15 developers across 3 teams, defining strategy and long-term technical roadmap for an AI-powered SaaS product. Led sprint planning in Asana to drive revenue growth. Implemented revenue-focused cohort features (dynamic pricing, usage limits, A/B testing) increasing paid conversions from 1% to 25% annually. Integrated Google and PostHog Analytics with Chargebee to boost paid conversions by ~20%. Built an in-house cohort testing framework using Redis and a NestJS backend; designed data pipelines for session tracking and conversion insights. Collaborated with marketing to optimize paid funnels; managed releases on GCP Cloud Run with QA coordination.

Team Lead at SMODIN

April 30, 2024 - October 13, 2025

Directed a team of 10+ full-stack developers, executing bi-weekly sprints on Jira and delivering development milestones. Optimized frontend repository structure, reducing ticket times and cutting overall development costs by 30%. Led a multi-developer team to deliver critical Smodin Grader and Author features with zero production bugs. Conducted UX/UI overhaul and introduced a new pricing strategy, achieving a 20% per-user revenue increase.

Full Stack Developer at SMODIN

October 31, 2022 - October 13, 2025

Designed and implemented backend services and frontend for Smodin AI Grader tailored for US schools. Developed bulk grading via GCP Pub/Sub. Built the full-stack AI Author tool (Next.js, NestJS) integrating LLMs with a RAG system and a rotating proxy Chromium scraper to generate research articles with Google Scholar citations. Optimized text matching, tokenization, and chunking for plagiarism tooling; reduced detection time and costs using Docker.

Full Stack Developer at WINDSOR AI

January 31, 2022 - October 13, 2025

Improved landing page UX for marketing campaigns to boost traffic and conversions. Integrated real-time social media data streams for personalized content and built social media API integration pipelines with PostgreSQL and cron-based data synchronization to reduce manual workload.

Machine Learning Engineer at CELERIS TX

October 31, 2021 - October 13, 2025

Deployed and managed ML experiments for drug discovery; optimized workflows and integrated Graph Neural Networks in TensorFlow for protein-protein interaction modeling. Created Python utility scripts using PyTorch, Pandas, and NumPy for model training on protein interactions. Explored GANs for 3D graph data to enhance prediction accuracy; orchestrated ML experiments with TensorBoard, AWS SageMaker, and Terraform, training models on AWS EC2.