MANOJ AGRAWAL
Technical Architect | AI Solutions Architect | SaaS & Cloud Engineering
Technical Architect with 15+ years of experience designing and delivering scalable web, SaaS, cloud and AI-powered applications across e-commerce, banking, finance, learning platforms and business automation.
AWS Certified
Cloud PractitionerProfessional Summary
A balanced fusion of traditional enterprise software architecture and cutting-edge AI engineering.
Technical Architect and engineering leader with 15+ years of experience across software architecture, SaaS platforms, e-commerce, banking, finance, learning management systems and business automation.
Experienced in designing scalable applications, distributed integrations, cloud infrastructure and API-driven systems using Laravel, PHP, Node.js, React, TypeScript, ASP.NET/C# and modern databases.
Currently expanding this architecture expertise into AI engineering with Python, Large Language Models, Retrieval-Augmented Generation (RAG), vector databases, LangChain, LangGraph and agentic workflows.
Focused on building practical AI systems that integrate with real business processes, enterprise data, APIs and SaaS platforms.
Enterprise SaaS
Multi-tenant & API-first
AI & RAG Engineering
Agentic workflows & LLMs
Technical Leadership
Mentorship, architecture & delivery
AI & Generative AI
Applying state-of-the-art AI technologies to create real-world enterprise applications, grounded retrieval pipelines, and autonomous agent workflows.
Python
Python application development, automation, AI/ML integrations and backend services. Building scalable services for document ingestion, data transformations, and AI pipelines.
LLM Applications
Building applications around Large Language Models, structured prompts, tool calling and business workflows. Implementing deterministic schemas and evaluation loops for production quality.
RAG Pipelines
Retrieval-Augmented Generation pipelines including document ingestion, chunking, embeddings, semantic search, retrieval, context augmentation, and grounded responses without hallucinations.
Vector Databases
Indexing and query management using Pinecone and Chroma. Designing hybrid search pipelines, vector similarity indexing, metadata filtering, and high-performance semantic retrieval.
LangChain
Harnessing modular LangChain components: chains, retrievers, tools, agents, document loaders, embeddings, and vector stores to build maintainable enterprise AI architectures.
LangGraph
Stateful workflows, agent orchestration, multi-step reasoning workflows, conditional routing, tool execution, cyclical graphs, and human-in-the-loop workflows for dependable automation.
AI Agents
Tool-enabled autonomous agents, workflow automation, API/tool integration, multi-step business processes, permission validation, and human approval verification checkpoints.
AI Integration
Integration of AI capabilities into existing SaaS applications, REST APIs, enterprise databases, business workflows, queue workers, and automation platforms.
AI Application Architecture
Visual representation of an enterprise RAG and agentic execution pipeline, bridging user queries with corporate data stores and tool ecosystems.
Tools & External APIs
Dynamic execution of third-party SaaS endpoints, SQL database queries, and background worker jobs via structured tool contracts.
Human-in-the-Loop Verification
Conditional checkpoint stops requiring managerial approval or confirmation before irreversible mutations or financial transactions execute.
Enterprise Data Synchronization
Real-time webhook ingestion and scheduled batch sync keeping vector indexes fresh and semantically aligned with relational data.
Architecture Expertise
15+ years of designing resilient, decoupled, and high-throughput systems engineered for reliability, security, and sustained business growth.
SaaS Architecture
Scalable multi-tenant foundations with isolated tenant data, automated provisioning, and subscription billing lifecycles.
Multi-Tenant Applications
Shared infrastructure architectures with strict tenant isolation, granular RBAC, and zero cross-tenant leakage.
API-First Architecture
Contract-driven REST and webhook interfaces built for developer experience, backward compatibility, and external integrators.
Cloud Architecture
Resilient AWS infrastructure leveraging auto-scaling, VPC isolation, containerized ECS/EKS clusters, and high availability.
Microservices
Domain-driven bounded contexts communicating via lightweight HTTP/gRPC interfaces for independent team deployment.
Event-Driven Architecture
Asynchronous pub/sub event channels decoupling transactional services to gracefully handle high peak volumes.
AI Application Architecture
Production design patterns integrating LLMs, context management, prompt templates, and corporate software layers.
RAG Architecture
Low-latency retrieval pipelines with smart chunking, dense vector indexing, and grounded context injection.
Agentic AI Workflows
Autonomous multi-step task execution systems orchestrated through cyclical state graphs and dynamic tool calling.
Database Architecture
Relational and NoSQL schemas optimized for write/read balance, indexing efficiency, replication, and data integrity.
Integration Architecture
Robust middleware layers connecting proprietary SaaS applications with legacy enterprise software and third-party APIs.
Scalable Web Applications
High-concurrency web applications optimized with tiered caching, asset offloading, and optimized backend query paths.
Security & Authentication
Standardized authentication layers utilizing OAuth 2.0, JWT, role-based access control, payload encryption, and rate limiting.
Queue & Background Processing
Distributed background workers handling batch operations, synchronization jobs, emails, and data crunching asynchronously.
Third-Party API Integration
Fault-tolerant integration with payment gateways, marketplace platforms, logistics carriers, and communication webhooks.
Architectural Technology Stack
A multi-tiered visualization of core technologies applied across architecture, engineering, data, and cloud infrastructure.
AI & GenAI Layer
Intelligent OrchestrationBackend & APIs
Core Business LogicFrontend & UI
Client ApplicationsData & Persistence
Storage & RetrievalCloud & DevOps
Infrastructure & CI/CDTechnical & Leadership Skills
Comprehensive technology domain proficiencies structured for transparent technical assessment.
Architecture & Backend
Frontend Engineering
AI Engineering Focus
Databases & Storage
Cloud & DevOps
Integration & Platforms
Engineering & Leadership
Professional Experience
15+ years of delivering high-impact SaaS platforms, cloud infrastructure, and technical leadership across diverse global industries.
Technical Architect & Engineering Lead
- Direct the architectural vision, cloud infrastructure, and technical roadmap for multi-tenant SaaS products and enterprise business systems.
- Design AI-driven features: architecting Retrieval-Augmented Generation (RAG) pipelines, LangChain/LangGraph agentic state machines, and vector search integrations using Python, Pinecone, and Chroma.
- Engineer resilient cloud architectures on AWS utilizing Docker containers, microservices, and automated CI/CD pipelines.
- Mentor cross-functional engineering teams, oversee code reviews, define API contract standards, and steer agile delivery schedules.
Lead Solution Architect
- Architected complex multi-channel eCommerce synchronization engines connecting Shopify, Amazon, WooCommerce, Shopee, Lazada, and TikTok Shop.
- Engineered high-throughput background queue architectures processing millions of inventory updates, webhook payloads, and order lifecycle mutations with zero data loss.
- Implemented secure payment gateway integrations, OAuth2 identity authentication, and distributed multi-tier database caching.
- Collaborated closely with founders and business stakeholders to translate strategic business objectives into robust, scalable software architectures.
Senior Full-Stack Architect / Tech Lead
- Architected and delivered mission-critical web applications across Share Market analytics, Banking portals, and Learning Management Systems (LMS).
- Designed robust web and service layers using ASP.NET, C#, PHP, JavaScript, and relational databases (SQL Server, MySQL, PostgreSQL).
- Integrated banking payment gateways, real-time market data feeds, and high-security compliance controls.
- Configured and maintained Linux servers (Ubuntu, CentOS), deployment automation, and production monitoring.
Senior Software Engineer
- Engineered high-performance web applications, dynamic database backends, and custom CMS/eCommerce platforms.
- Built custom API integrations, automated data import/export routines, and optimized database queries for responsive user experiences.
- Managed project lifecycles end-to-end: requirement discovery, system design, implementation, testing, and deployment.
Featured Projects
Real-world software platforms showcasing multi-tenant architecture, complex API ecosystems, and intelligent data systems.
CEP / SyncingAbout
Multi-Channel Inventory Management Platform
High-scale multi-channel inventory and order synchronization SaaS connecting merchants to global marketplaces with near real-time catalog replication and automated fulfillment tracking.
- Bi-directional synchronization with Shopify, WooCommerce, Shopee, Lazada, TikTok Shop, and Amazon.
- Asynchronous queue workers handling millions of stock adjustments and webhook event dispatches.
- Marketplace API rate-limiting throttling, exponential backoff retries, and comprehensive audit trails.
Rekloq / WorkSnap
Workforce & Activity Management Platform
Comprehensive employee productivity and workforce activity tracking platform combining lightweight desktop client agents with cloud-native administrative portals and analytics dashboards.
- Secure client-to-cloud API architecture for telemetry ingestion, time logs, and screenshot synchronization.
- Modern administrative portal built with Filament for operational metrics, billing, and organizational hierarchy.
- PostgreSQL schema optimized for timeseries activity logs, analytics rollups, and reporting queries.
Enterprise AI & RAG Systems
Intelligent Document Retrieval & Workflow Agents
Next-generation business AI systems providing grounded document Q&A, semantic retrieval, and multi-step autonomous agent workflows integrated seamlessly into production SaaS platforms.
- End-to-end RAG ingestion pipeline: document parsing, recursive chunking, embeddings, and vector similarity indexing.
- Stateful agent orchestration using LangGraph with tool-calling capabilities and human approval checkpoints.
- Grounded context injection avoiding hallucinations with strict citation-backed responses.
Industry Certifications
Validated expertise in cloud infrastructure, security, and enterprise architectures.
AWS Certified Cloud Practitioner
Demonstrates comprehensive knowledge of AWS Cloud architecture principles, core cloud services, security and compliance standards, scalable infrastructure design, and cloud economics.
Let's Build Something Intelligent
Interested in SaaS architecture, AI applications, automation or technical consulting? Let's connect and discuss how my 15+ years of software architecture and AI engineering can drive your next milestone.