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raju mannem
From India 12:24 AM (GMT+05:30)
$4/hr or $15,000/yr

Active 11 hours ago


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Full Stack Software Developer

Full-Stack Engineer
Available for hire
Years of experience
2+ years
Experience level
Mid-level
Available for
Full-time, Part-time, Contract, Freelance
Available from
05 Oct 2026
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Hi I'll be quick to make your day easier I'm Raju Mannem, Full Stack Automation Developer working on AI native applications, cloud infrastructure and scalable backend systems for us projects, Directly working with CEO's and Business Owners. I'd in depth experience of designing complex workflows for automating business tasks using n8n, python, nodejs, react, airtop, hubspot, postgresql, integrating meta api's facebook, whatsapp, instagram and threads to dashboard panels, linkedin, google, twitter and reddit campaings, aws, gcp, render, vercel and digital ocean. Below are some work samples i wanted to share

LMS Platform https://campuslogics.org/ Payment service Demo https://srm-payment-service.onrender.com/api/v1/payments Whatsapp Agent: https://vm-backend-450c.onrender.com/docs AI Meeting Assistant https://meeting-assistant-v0.vercel.app/ Full Stack Product Demo https://krishnaveni-marriagebureau.vercel.app/

Portfolio: https://raju-mannem.onrender.com/ Linkedin: https://www.linkedin.com/in/raju-mannem-604689240/ Github: https://www.github.com/raju-mannem/

I've super inspired by your vision and wanted to join the journey. I usually work across the entire stack: Architecture, Backend, AI integration, Frontend, Deployment, Monitoring

Languages

Employment History

full stack developer at freelance 2025 - 2026
The client relied on a youtube with limited content management capabilities, lacking online assessments, payment processing, learner notifications, and scalable content distribution. Performance bottlenecks, no SEO, and inefficient content publishing impacted learner engagement. System Architecture and Responsibilities: Developed reusable Next.js (SSR/ISR) components with TypeScript, Tip tap and Tailwind CSS for dashboard interface. Designed normalized PostgreSQL models with Prisma ORM. Built scalable GraphQL APIs with Apollo Server, GraphQL Yoga, caching, and optimized resolvers. Implemented enterprise authentication using JWT, OAuth, NextAuth, and SSO integrations. Integrated Razorpay payment gateway for subscriptions and course purchases. Designed secure digital asset delivery using Amazon S3, CloudFront, and ImageKit with DRM content access. Built notification workflows for enrollments, assignments, and course updates. Automated CI/CD using GitHub Actions and Gitops. Deployed containerized services on AWS Lambda, App Runner, Amplify, and GCP Cloud Run. Managed production releases, monitoring, and incident response. Metrics: Improved page load performance by 45%. Optimized GraphQL resolvers to reduce over fetching. Reduced database query time by 35%. Increased Lighthouse SEO score from 87- 92. Improved user engagement by 39%.
full stack developer at zeus systems inc 2024 - 2026
The client struggled with fragmented customer data, manual customer support, disconnected omnichannel campaigns (Facebook, Instagram, WhatsApp, LinkedIn), and limited visibility into customer journeys. Existing CRM workflows lacked agentic automation, contextual knowledge retrieval, personalized engagement, and real time business insights, leading to inconsistent data quality, delayed responses, inefficient sales execution, and significant manual effort for validation, reporting, and customer lifecycle management. System Architecture and Responsibilities: Designed LLM system with with LangChain, LangGraph, and Hugging Face for model orchestration, prompt orchestration. Built low latency Python Fastapi, Node.js, Express services with OpenAPI/Swagger specifications. Designed Postgresql, MongoDB data models and implemented Redis caching and streaming for data management and queuing. Enforced enterprise grade API security using JWE, RBAC, and Zod validation. Designed reusable Next.js components and delivered production scale frontend applications for agentic workflows. Integrated Meta Business APIs to automate omnichannel campaigns and AI customer support. Designed autonomous agentic AI workflows using n8n, Airtop, and event orchestration. Automated AWS infrastructure provisioning with Terraform across serverless and edge services. Optimized deployments using CI/CD pipelines GitHub Actions, Docker and Gitops for staging, testing and production environments. Implemented observability stack (CloudWatch, Prometheus, Grafana). Metrics: Reduced customer response time by 70%+ with Agentic ai automation. Increased campaign execution efficiency and lead generation by 80%+ via workflow automation. Reduced manual CRM operations by 90-95%. Increased customer engagement through personalized AI recommendations. Improved data consistency by automating validation and structured extraction.

Education

Master of Computer Applications at JKC College 2023 - 2025
Bachelor of Computer Science at JKC College 2020 - 2023