Zeeshan A.

Ship Faster, Scale Smarter I design and deliver production-grade software that blends modern web apps with practical AI. If you need one person to architect, build, and ship from clean APIs and real-time UIs to LLM-powered features and cloud infra I’m your engineer. What I Deliver * Reliable backends: battle-tested APIs (REST/GraphQL), idempotent jobs, observability, and sane error budgets. * Responsive frontends: SSR/ISR, accessible UI, state kept tidy, no laggy interactions. * Applied AI: LLM/RAG features that are fast, safe, and traceable (prompting, evals, guardrails). * Cloud that doesn’t bite: containerized, autoscaled, cost-aware; CI/CD from day one. Core Expertise Full-Stack * Scalable SaaS, microservices & serverless backends * Node/Express, FastAPI/Django; REST/GraphQL * Data models for millions of records (PostgreSQL, MongoDB, Redis), indexing & performance tuning * React/Next.js with robust state management and SSR/SEO AI/ML & Data * LLM apps: RAG, embeddings, vector search, retrieval tuning, safety filters * Vision/NLP pipelines: detection/segmentation/OCR with PyTorch/TensorFlow * Data engineering: clean ETL, feature prep, reproducible experiments * Deployments: Docker/Kubernetes, model packaging, CI/CD to AWS/GCP Cloud & DevOps * AWS/GCP/Firebase; Lambda/Cloud Run; S3/GCS; VPC, IAM, secrets * Docker + Kubernetes, IaC (Terraform), GitHub Actions/GitLab CI/Jenkins * Observability (logs/metrics/traces), rollouts, zero-downtime releases How I Work * Architecture first: clear interfaces, graceful failure modes, and future-proof data models. * Product-minded: I sweat UX states (empty/loading/error) and latency budgets. * Security & compliance aware: least-privilege, auditing, PII handling, rate limits. * Transparent delivery: issue tracking, PR discipline, previews, measurable milestones. Ideal Projects * SaaS platforms that need real-time features (websockets, streaming, collaborative UIs) * AI-assisted workflows (RAG over docs/data, summarization, semantic search, agentic tasks) * Modernization of legacy backends into clean APIs and typed frontends * MLOps: packaging models, evaluation harnesses, and reliable inference at scale Tooling & Stack * Languages/FE: TypeScript, JavaScript (ES6+), React/Next.js, Vue/Nuxt * BE/DS: Node.js, Express, Python, FastAPI, Django * DB/Cache/Queues: PostgreSQL, MySQL, MongoDB, Redis, Firebase * AI/ML: OpenAI APIs, Transformers, LangChain, PyTorch, TensorFlow, scikit-learn, CV/OCR * DevOps: Docker, Kubernetes, Terraform, AWS/GCP/Azure, CI/CD * APIs: REST, GraphQL; auth (JWT/OAuth), webhooks, webRTC/websocket * Quality: unit/integration tests (pytest/jest), code reviews, performance profiling If you’re looking for a hands on senior engineer who can own the backend, craft the frontend, and wire in AI the right way, send me a message with your goal, current stack, and timeline. I will propose a crisp plan and start shipping. Let’s build something!