Hi, my name is

zeeshan

I deliver impact as a Backend Engineer.

Backend-focused engineer with hands-on production experience designing and maintaining RESTful and GraphQL APIs in Node.js/Express, and modeling data across relational (PostgreSQL) and NoSQL (MongoDB, Redis) databases. Built services handling authentication, rate limiting, and multi-tenant data isolation at scale, with attention to query performance and data integrity. Comfortable owning backend features end-to-end – from schema design through production – in fast-moving, early-stage environments. Experienced with TypeScript, Git-based collaborative workflows, and CI/CD pipelines (GitHub Actions). Founder of an AI-native platform (Crezumic) where I designed and maintained the full backend and database layer solo. Currently working concurrently as a Generative AI Engineer and Machine Learning Engineer.

Check out my work

01. About Me

Hi! I am zeeshan, a Backend Engineer. I focus on robust products and maintainable digital systems and enjoy building work that is clear, useful, and reliable.

My core toolkit includes TypeScript, JavaScript, Python, Node.js. I use these strengths to move projects from planning to delivery with measurable results.

I have contributed across 3 roles, partnering with teams to ship meaningful outcomes.

Here are some core skills I use regularly:

▹ TypeScript
▹ JavaScript
▹ Python
▹ Node.js
▹ Express.js
▹ REST API Design
▹ GraphQL API Design
▹ JWT Auth & API Security

02. Where I've Worked

Machine Learning Engineer @ EmbedAIOT

2026-06 - Present

• Built Python ML pipelines (preprocessing, training, deployment) for an IoT-based energy management system. • Integrated models into REST APIs for real-time monitoring, working in a shared Git codebase with the team.

Generative AI Engineer @ Xoksis

2026-05 - Present

• Designed autonomous agentic AI workflows and LLM-powered solutions, applying tool-calling and multi-agent system design to real business problems. • Built full-stack apps with integrated LLM features using OpenAI/OpenRouter APIs, translating ambiguous product ideas into shipped features.

Full Stack Developer @ BloodShare (bloodshare.pk)

2025-08 - 2026-03

• Designed and maintained REST APIs (Node.js/Express) with a MongoDB data layer, handling async, event-driven request flows. • Integrated third-party APIs (WhatsApp Business, Google OAuth) with authentication, error handling, and data validation. • Built a real-time backend service with Socket.io (WebSockets) and Redis caching, cutting response time by 50% and increasing engagement by 25%.

03. Some Things I've Built

Featured Project

Viralix – Multi-Tenant Social Media SaaS

Engineered a multi‑tenant REST API platform using Node.js/Express, integrating PostgreSQL and MongoDB schemas to support seamless data isolation and tenant‑specific quotas, enabling on‑boarding of 200+ customers within 3 months. Developed GraphQL connectors to Meta, YouTube, and TikTok APIs, aggregating cross‑platform engagement metrics and delivering unified analytics dashboards that increased client reporting accuracy by 35%. Implemented Redis‑backed rate limiting and distributed scheduler locks, safeguarding API stability under peak loads of 10k RPS and reducing throttling incidents by 40%. Designed materialized analytics views with read‑replica routing, cutting query response times from 2.5 s to 0.4 s and supporting real‑time reporting for millions of social interactions. Established a Kafka‑driven domain event outbox pattern, achieving eventual consistency across microservices with sub‑second propagation latency and eliminating data loss during high‑throughput ingestion.

Node.jsExpressPostgreSQLMongoDBGraphQL/Graph APIsRedisKafka

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Featured Project

Crezumic – Agentic AI Career Platform

Designed and maintained REST APIs (Node.js/Express) with a MongoDB data layer across resumes, portfolios, and job data. Integrated GitHub’s REST and GraphQL APIs for profile analytics, and 5 external job-board REST APIs with de-duplication logic across sources. Modeled schemas for multi-entity data (resumes, portfolios, applications) supporting a scoring/recommendation feature, similar in shape to product scoring pipelines.

Node.jsExpressMongoDBGitHub REST & GraphQL APIs

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Featured Project

Synapse – Multi-Agent LLM Research Assistant

Built a dual-transport backend (WebSocket streaming + REST fallback) with PostgreSQL-backed session persistence. Implemented JWT authentication and versioned API contracts consumed by a separate React frontend. Designed retry/fallback logic and confidence-scored validation to keep services reliable under uncertain inputs.

Node.jsWebSocketRESTPostgreSQLJWT

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