I architect autonomous AI employees, event-driven workflows, and scalable multi-tenant SaaS platforms engineered to reduce operational overhead.
Engineering high-throughput backend infrastructure, AI Voice Calling support agents, Meta Ads analytics SaaS, and autonomous workflow engines.
Build AI employees capable of reasoning, planning, and executing complex business tasks autonomously for E-Commerce, Manufacturing, and Healthcare.
Deploy natural 24/7 AI voice agents for patient appointment scheduling, inbound customer support, and outbound lead follow-up calls.
Automate repetitive operations—from Meta Ads ROAS tracking to manufacturing ERP queues and patient appointment intake.
End-to-end SaaS engineering for Meta Ads analytics engines, Shopify attribution platforms, and medical portal software.
Designed for explosive business growth, high availability, zero downtime, and low-latency API handling.
Strategic guidance to integrate AI, optimize legacy backend bottlenecks, and roadmap production software.
How I architect enterprise AI workflows connecting webhooks, autonomous agents, vector memory, and backend queues into deterministic business actions.
LangGraph autonomous agent parses prompt intent, assigns tools, and formulates step plan.
{
"intent": "account_billing_issue",
"confidence": 0.982,
"next_tool": "retrieve_vector_context"
}I build resilient, production-ready backends designed for extreme reliability, multi-tenant security, and millisecond-level LLM execution.
Handles incoming user traffic, WebSocket streaming connections, and low-latency gRPC RPC routes.
Asynchronous job processing with idempotency keys, exponential backoff retries, and dead-letter queue isolation.
Model Context Protocol (MCP) server managing prompt routing, function calling, tool execution, and rate limiting.
Strict tenant data isolation at the database engine level ensuring zero cross-tenant data leak risk in shared schemas.
Distributed tracing across microservices to monitor P99 latency, token consumption, and system errors in real time.
Containerized Docker microservices deployed via GitHub Actions CI/CD pipelines with zero-downtime rollouts.
Production-ready system designs and architectural blueprints engineered by Nikunja Sarma, demonstrating battle-tested patterns for AI agents, voice support, and multi-tenant SaaS.
Reference Architecture for ROAS Attribution & E-Commerce Intelligence
E-Commerce brands and Meta Ads agencies lose significant revenue to ad attribution gaps, inaccurate pixel tracking, and manual reporting across campaigns.
Real-time event streaming pipeline designed with Next.js, Node.js, and PostgreSQL RLS. Async workers process Meta Graph API & Shopify Webhook feeds on AWS ECS Fargate.
Designed to automate ad spend optimization, eliminate manual weekly reporting, and provide deterministic multi-touch ROAS attribution.
Aggregating multi-channel ad attribution data with atomic accuracy while adhering to strict PostgreSQL RLS multi-tenant data isolation.
Engineered atomic PostgreSQL transactional ledgers combined with an automated LLM creative fatigue detection model.
Enterprise Multi-Model SaaS Architecture with PostgreSQL Row-Level Security
SaaS platforms require secure multi-tenant AI context isolation across OpenAI, Claude, and open-source models without risking cross-tenant data leaks or runaway API costs.
Distributed microservices design utilizing Next.js, Express.js, and PostgreSQL with Row-Level Security (RLS). Heavy workloads are decoupled via BullMQ + Redis async workers.
Enables multi-tenant SaaS platforms to safely deploy contextual AI assistants across organization boundaries with 100% engine-level data isolation.
Eliminating cross-tenant vector leakage and maintaining millisecond-level WebSocket response streaming for companion client applications.
Implemented PostgreSQL RLS tenant_id policies at the database layer and designed a custom WebSocket proxy for token streaming.
Low-Latency Autonomous Inbound & Outbound Phone Call Architecture
Medical practices, dental clinics, and E-commerce stores suffer from missed patient/customer calls, high hold times, and expensive after-hours receptionists.
Bi-directional WebSocket streaming architecture integrating ElevenLabs voice synthesis, Vapi / Retell AI protocols, OpenAI Realtime API, Twilio telephony, and gRPC microservice boundaries.
Designed for 24/7 patient appointment booking and customer support calls, eliminating manual call center bottlenecks with natural voice response.
Minimizing human-perceptible latency in back-and-forth phone conversations while retrieving live calendar & inventory data.
Designed speculative context pre-fetching and streamed audio buffers over WebSockets in 20ms chunks with zero delay.
High-Throughput Monetized Media SaaS Architecture
Content platforms require real-time video captioning with custom brand tone, requiring heavy async processing and accurate subscription billing.
Event-driven microservices specification with BullMQ worker pools, Redis caching layer, and full Stripe payment gateway subscription integration.
Engineered to deliver fast media turnaround with transactional financial correctness for subscription-based user quotas.
Handling spike loads in video processing while preserving strict transaction atomicity for paid user quota consumption.
Engineered Redis atomic increment locks and dead-letter queues for failed job recovery.
A history of shipping production backend systems, multi-tenant cloud pipelines, and AI workflows where correctness matters.
Founders, CTOs, and agencies don't just hire me for code—they hire me to solve expensive business problems using scalable AI systems.
Every AI employee and workflow I architect is engineered to replace expensive manual processes, cutting headcount overhead by up to 85%.
From customer support triage to document processing and RAG search, I turn manual human workflows into automated event-driven queues.
Microservices with gRPC, BullMQ queues, Redis caching, and PostgreSQL multi-tenant Row-Level Security built for zero cross-tenant leak risk.
Production-grade execution powered by deep mastery of Next.js, TypeScript, AWS, and AI-assisted workflows (Claude Code & Cursor).
I focus on unit economics, transactional correctness, system uptime, and customer business outcomes—not just writing code.
Compare manual legacy business operations against Nikunja's AI Workflow & microservice architecture.
Automated AI Agent workers operating at 1/10th the cost ($0.002/job)
Sub-second event-driven execution (140ms LLM agent decision time)
Deterministic TypeScript validation with BullMQ retry & DLQ guarantees
PostgreSQL Engine-level Row-Level Security (RLS) zero-leak isolation
Auto-scaling AWS ECS Fargate worker clusters handling 100k+ daily tasks
Battle-tested technologies, frameworks, and AI protocols leveraged across high-throughput production environments.
I engineer production AI systems, 24/7 AI Voice Calling customer support agents, and scalable SaaS platforms for E-Commerce, Dental Clinics, and Manufacturing.
Meta Ads ROAS attribution analytics, automated inventory AI, 24/7 AI Voice Phone Support for order updates & FAQs.
24/7 AI Voice Receptionists for appointment booking, HIPAA-compliant patient intake, and RAG clinical records search.
Supply chain workflow automation, ERP inventory intelligence, batch tracking, and predictive maintenance queues.
Multi-tenant ad analytics platforms, predictive campaign spend reallocation, API gateways, and microservices.
A structured, 4-step engineering roadmap designed to take AI products from initial architecture to battle-tested production.
Audit operational bottlenecks, design PostgreSQL multi-tenant schemas, map out AI agent decision paths, and define gRPC / REST API contracts.
Build functional prototypes using LangGraph, Claude 3.5, and MCP server tools to validate prompt logic, function calling, and vector memory retrieval.
Implement PostgreSQL Row-Level Security (RLS), BullMQ + Redis async workers with idempotency locks, dead-letter queues, and automated retries.
Containerize services with Docker, set up Nginx reverse proxies, configure GitHub Actions CI/CD to AWS ECS Fargate, and integrate OpenTelemetry tracing.
Clear answers regarding system security, technical execution, timelines, and ownership.