Muhammed Ali
Backend Engineer · API & ML Infra
Overview
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About
I build backend systems and ML-enabled services that power production applications. My work focuses on API design, scalable microservices, data pipelines, and reliable inference/serving layers that meet business SLAs.
Core strengths include designing resilient FastAPI and Node.js services, integrating vector search (Pinecone) and retrieval-augmented generation (RAG) pipelines with LangChain/LangGraph, and deploying inference and API workloads on Google Cloud (Cloud Run, Cloud Build, Artifact Registry, GCS).
Technical highlights:
- Backend: FastAPI, Nest.js, TypeScript, Python
- ML / AI infra: LangChain, LangGraph, RAG, Pinecone, embeddings, inference orchestration
- Cloud & infra: Google Cloud Platform (VMs, Cloud Run, GCS, Cloud Build, Triggers), Docker, Kubernetes, Terraform, AWS (S3, EC2, Lambda, VPC)
- DevOps & quality: CI/CD (Github Actions), automated testing, observability (logs/metrics/tracing), secure access controls
I enjoy mentoring engineers, improving engineering processes, and delivering measurable improvements in reliability and performance.
Experience
AI First Partners
- Building and maintaining full-stack systems using FastAPI and Next.js.
- Architected and maintained production-grade full‑stack systems with FastAPI backends and Next.js frontends, improving delivery velocity and reliability.
- Designed, developed, and deployed AI-powered voice agents using Pipecat and Groq for real‑time conversational experiences.
- Created a fully autonomous content agent with LangChain and LangGraph that generates SEO‑optimized blog content and automates daily publishing workflows.
- Built scalable, cost‑aware infrastructure on Google Cloud (GCP), leveraging Cloud Run, Cloud Build, Artifact Registry, and regional storage to support growth.
- Implemented automated CI/CD pipelines using Cloud Build, Docker images, build triggers, and Artifact Registry to accelerate safe releases.
- Established robust data and asset management with Google Cloud Storage (GCS), including lifecycle policies and secure access controls.
- Autonomous AI Agents
- Real-time Voice Agents
- Pipecat
- Google Cloud Platform (GCP)
- Langchain
- Langgraph
- Python
- RAG
- Human-in-the-loop Systems
- FastAPI
- Pinecone
- TypeScript
- Next.js
Freelance Developer
Government Polytechnic Institute
Projects(5)
Personal portfolio engineered as a production-grade Next.js site focused on performance, discoverability, and clear hiring signals.
- Implemented SSR/ISR, asset optimization, and modern image delivery to maximize load speed and Lighthouse scores.
- Structured metadata and semantic markup to improve organic search visibility and link-rich previews.
- Built CI/CD pipeline with automated builds and previews for safe content updates.
- Prioritized accessibility and responsive UX to ensure consistent experience across devices.
- Integrated analytics and contact flows to convert visitors into leads for consultancy and hiring.
- Next.js
- TypeScript
- Performance Optimization
- SEO
- Accessibility
- Vercel
- CI/CD
- Analytics
Marketplace platform architected for scalability and secure transactions — connecting providers and customers with a focus on conversion and reliability.
- Designed RESTful and realtime APIs (NestJS + WebSockets) to support listings, bookings, and live messaging at scale.
- Implemented secure payment flows with Stripe and escrow mechanics to protect both parties and reduce disputes.
- Built verification, reviews, and moderation systems to improve trust and platform retention.
- Modeled relational data for efficient search and filtering; used Redis for caching high-traffic queries.
- Delivered admin dashboards and operational tooling for analytics, content moderation, and dispute resolution.
- NestJS
- Next.js
- TypeScript
- PostgreSQL
- Redis
- Stripe
- WebSockets
- AWS S3
Education
Pursuing BSc in Computer Science with a strong focus on systems, algorithms, and software engineering. Relevant coursework includes Data Structures & Algorithms, Operating Systems, Databases, Computer Networks, Software Engineering, Machine Learning, and Cloud Computing.
- Designed and delivered team projects building APIs, data pipelines, and cloud-deployed services.
- Focused on backend architecture, scalable services, and production readiness: testing, CI/CD, and monitoring.
- Active in programming competitions and departmental tech initiatives.
Achievements
- Dean's List student
- Programming Competition Participant
- Capstone & Team Projects in Web/ML systems
- Active Member of Computer Science Society
