About Me
Mohammed
Aslam
Full-Stack Developer specialising in AI agents, MCP servers, and AI-integrated applications. Currently building production AI systems at Procedure.
2+Years Experience
10K+Active Users Served
99.5%Uptime Delivered
30%Query Perf Gains
Full-Stack Developer with 2+ years of experience architecting and shipping AI-integrated web applications, scalable REST APIs, and real-time systems serving 10,000+ active users. Today I focus on agentic AI — building MCP servers that connect LLMs to real tools and data, and AI agents that plan, call tools, and get work done — on a foundation of Node.js, React.js, and Next.js, with a track record of 99.5%+ uptime and measurable performance gains.
I transitioned from Mechanical Engineering into software — and that problem-solving mindset shapes everything I build. Systems that are thoughtful, efficient, and built to last.
Open to new opportunities
Based in India · Available remotelyTech Stack
Languages
JavaScript (ES6+)
TypeScript
Python
HTML5
CSS3
Frontend
React.js
Next.js
Angular
React Native
Three.js
React-Three-Fiber
GSAP
Framer Motion
Tailwind CSS
ShadCN UI
Backend
Node.js
Express.js
REST API
GraphQL
WebSockets
JWT
OAuth 2.0
Microservices
Drizzle ORM
Database & Cache
MongoDB
PostgreSQL
MySQL
Redis
SQLite
AI & LLM
LangChain
LangGraph
Vercel AI SDK
MCP (Model Context Protocol)
AI Agents & Tool Calling
RAG
Prompt Engineering
Cloud & DevOps
AWS (ECS, EC2, Fargate, S3)
Docker
Kubernetes
GitHub Actions
CI/CD
Vercel
Firebase
Work Experience
01May 2026 – PresentRemote
Full-Stack Developer
Procedure Technologies
- —Part of an embedded AI engineering pod at Procedure — shipping production AI systems for product teams across fintech, SaaS and more
- —Building Model Context Protocol (MCP) servers that expose internal tools, APIs and data sources to LLMs in a safe, well-typed way
- —Designing and developing autonomous AI agents with tool calling, multi-step planning and memory for real-world workflows
- —Working across the full stack — agent orchestration backends in Node.js/Python and the Next.js/React interfaces that sit on top of them
- —Integrating LLM features end to end: prompt design, RAG pipelines, evaluations, and cloud deployment to production
MCPAI AgentsLangGraphNode.jsTypeScriptPythonNext.jsAWS
02Sep 2025 – Apr 2026Remote
Full-Stack Developer
BeSpoke AI Stylist Pvt Ltd
- —Architected modular Node.js/Express.js backend supporting 5 production AI features — serving 10,000+ active users with 99.5%+ uptime
- —Built stateful AI agents with LangChain & LangGraph for multi-step LLM orchestration, automating end-to-end pipelines
- —Deployed containerised services on AWS ECS (EC2 & Fargate) with S3 asset storage, enabling independent per-feature scaling
- —Optimised MongoDB queries via indexing & Aggregation Pipelines — cut query execution time by 30% at scale
- —Implemented WebSockets & Redis pub/sub for real-time updates; maintained 99.5%+ uptime with exponential backoff retries
Node.jsLangChainLangGraphAWS ECSMongoDBRedisWebSockets
03Feb 2024 – Aug 2025Gujarat, India
Full-Stack Developer
Ajna Inc
- —Built modular browser interface with React.js & Chakra UI in Agile/Scrum sprints, lifting user satisfaction by 10%
- —Developed a 3D interactive product page with Three.js & React-Three-Fiber — reduced model load time by 5%
- —Implemented OAuth 2.0 & JWT authentication via Auth.js, cutting integration complexity by 25%
- —Integrated AI chatbot with Vercel AI SDK & PostgreSQL-backed history — increased session retention by 15%
- —Led code reviews & system design sessions across sprints, reducing post-release bug rate by 20%
React.jsNext.jsThree.jsPostgreSQLAuth.jsVercel AI SDK
Education
Aug 2018 – Aug 2022GPA: 8.3 / 10 · Davangere, India
B.E. Mechanical Engineering
GM Institute of Technology
Sep 2022 – May 20239-Month Intensive · Python, DSA, REST APIs, Full-Stack · Remote
Full-Stack Software Development
FACE Prep Certification
