Senior Engineer · AI Systems · Full Stack

SANY
A.

$ Senior Full Stack & AI Engineer

I design and ship enterprise-grade systems from distributed microservices on Kubernetes to production RAG pipelines and agentic workflows. I own problems end-to-end architecture, implementation, deployment, and reliability.

engineer.config.ts
// Senior Engineer Profile
const engineer = {
  name: "Sany A",
  level: "Senior / L5",
  stack: ["Next.js","Node","Python","Dotnet","Rust"],
  infra: ["K8s","Docker","AWS","Azure"],
  ai: ["RAG","Agents","LangGraph","MCP"],
  available: true
};
▸ Running system checks 
45%
Perf. improvement
60%
Delivery time ↓
95%
Efficiency gains
2yr+
Prod. experience
01 About

Engineer who owns problems end-to-end.

I'm a Full Stack Software Developer with 2 years of production experience across enterprise applications, distributed systems, and AI-integrated products. I work across the complete stack — from designing scalable backend services to shipping pixel-precise frontends.

At AES Technologies India, I architect and build enterprise-grade applications that fuse modern full-stack patterns with AI capabilities — delivering 45% performance improvements and cutting delivery time by 60% through better system design and CI/CD automation.

At SNS iNNovation Hub, I focused on automation pipelines, intelligent agents, and data-driven product features — achieving 95% efficiency gains through smart caching, async processing, and LLM-powered workflows.

I'm strongest when I can take an idea from architecture sketch to running product — and keep it reliable, observable, and scalable along the way.

DOWNLOAD RESUME
Frontend4 skills
Next.jsReactTypeScriptTailwind CSS
Backend7 skills
Node.jsExpress.jsBun.jsPythonREST APIsGraphQLWebSockets
Databases & Caching5 skills
PostgreSQLMongoDBRedisSQLVector DBs
Infrastructure & DevOps6 skills
DockerKubernetesAWSAzureTerraformCI/CD
AI & Agents6 skills
LangChainLangGraphRAGOpenAIMCPAzure AI
02 System Design

Architecture & infrastructure patterns.

Systems I design and build — scalable, fault-tolerant, and production-hardened.

Containerized Microservices
Design and orchestrate Docker-based microservice architectures. Build multi-stage Dockerfiles, optimize image layers, and manage service networking with Docker Compose and Kubernetes manifests.
DockerComposeMulti-stage buildsService mesh
Kubernetes Orchestration
Deploy and manage production workloads on Kubernetes. Configure HPA, rolling deployments, pod disruption budgets, ingress controllers, and secrets management for zero-downtime releases.
K8sHelmHPAIngressSecrets
Cloud Architecture (AWS / Azure)
Architect cloud-native solutions using managed services — Lambda, ECS, RDS, S3, CloudFront on AWS; App Service, AKS, Azure AI, Blob Storage on Azure. Design for high availability and cost efficiency.
AWS ECSLambdaAKSAzure AICDN
Infrastructure as Code
Provision and manage cloud infrastructure with Terraform. Write reusable modules for VPCs, EKS clusters, RDS instances, IAM policies, and networking — enabling reproducible environments across dev, staging, and prod.
TerraformHCLModulesState management
Caching & Performance
Implement multi-layer caching strategies with Redis — session stores, rate limiting, pub/sub messaging, distributed locks, and cache-aside patterns to reduce database load in high-traffic flows.
RedisCache-asidePub/SubRate limiting
Agentic AI Pipelines
Design RAG pipelines and multi-agent systems on production infrastructure — with vector stores, embedding services, LLM routing, observability, and fallback strategies for reliability at scale.
LangGraphVector DBLLM routingObservability
03Tools & Technology Stack

Technologies that power innovation.

Languages, frameworks, platforms, and tools that drive modern development.

VS Code
VS Code
Development
Git
Git
Version Control
GitHub
GitHub
Version Control
Postman
Postman
API Testing
Swagger
Swagger
API Documentation
Jira
Jira
Project Management
Slack
Slack
Communication
Figma
Figma
Design
Vercel
Vercel
Deployment
Docker
Docker
Deployment
Kubernetes
Kubernetes
Deployment
AWS
AWS
Cloud
React.js
React.js
Frontend
Next.js
Next.js
Frontend
TypeScript
TypeScript
Language
Python
Python
Language
Redux
Redux
State Management
Node.js
Node.js
Backend
Express.js
Express.js
Backend
Linux
Linux
OS/DevOps
MongoDB
MongoDB
Database
MySQL
MySQL
Database
LangGraph
LangGraph
Orchestration
CrewAI
CrewAI
Agents/Orchestration
04 Projects

Shipped products & systems.

AI pipelines, full-stack platforms, developer tooling, and automation systems — built for production.

Full-Stack

Job Portal Platform

Full-featured job board with real-time listings, filters, and application tracking. Redis-cached search, optimised DB queries, CI/CD-deployed.

Next.jsMongoDBRedisDocker
E-Commerce

Vembar Karupatti Shop

Modern e-commerce platform for authentic palm products. Server-side rendering, cart management, and optimised checkout flow.

Next.jsReactMongoDBTypeScript
CLI · AI

AI Chat CLI

Terminal-based AI assistant with streaming responses, multi-turn memory, model switching, and persistent conversation history.

Node.jsTypeScriptOpenAI
NPM Package

nextjs-auth-kit

Published NPM package — drop-in auth for Next.js with JWT, session handling, OAuth integrations, and middleware helpers.

Next.jsJWTTypeScriptnpm
05 Experience

Career timeline.

Enterprise systems, AI products, and measurable engineering impact.

JAN 2026 — PRESENTCURRENT
AI Full Stack Developer
AES Technologies India Pvt Ltd · India
  • Built enterprise applications delivering 45% performance improvement and 60% faster delivery through architectural optimisations
  • Designed scalable full-stack systems across frontend, backend services, APIs, and AI integrations for production enterprise use
  • Implemented containerised microservices with Docker and Kubernetes, enabling zero-downtime deployments
  • Integrated AI capabilities into enterprise workflows — LLM-powered features in production environments
Next.jsNode.jsDockerK8sAI IntegrationEnterprise APIs
JUL 2024 — DEC 2025
Software Associate
SNS iNNovation Hub · India
  • Delivered 95% efficiency gains through intelligent agents, workflow automation, and smart caching strategies
  • Implemented Redis caching layers to optimise API response times and reduce database load in high-traffic flows
  • Increased user engagement by 25% through data-driven UI/UX improvements and A/B tested product features
  • Built automation pipelines including email automation and YouTube comment response automation
  • Established CI/CD pipelines with Docker + GitHub Actions; optimised PostgreSQL and MongoDB query performance
Next.jsReactNode.jsRedisPostgreSQLMongoDBDockerGitHub Actions
FEB 2024 — MAY 2024
Web Developer Intern
Accent Techno Soft · India
  • Built and shipped UI components with React, HTML, CSS, and JavaScript
  • Designed and integrated RESTful APIs for dynamic data rendering
  • Diagnosed and resolved cross-stack bugs; improved application stability
2020 — 2024
B.E. Computer Science
SNS College of Technology · India
06 Certifications

Verified credentials.

☁️
Intelligent Document Processing with Azure AI Document Intelligence
Microsoft Azure
🔗
Introduction to Model Context Protocol
Anthropic / MCP
⚡
Model Context Protocol: Advanced Topics
Anthropic / MCP
🧮
Algorithmic Toolbox
Coursera / UC San Diego
💾
Redis for JavaScript Developers
Redis University
06 Contact

Let's build something serious.

Looking for a senior engineer who can architect systems, ship AI products, and own the full lifecycle — from infra to interface? Let's talk.

+91 89408 95723
India