Rohit
Karumanchi.
$ software engineer — data · backend · AI▍
I build large-scale data platforms and AI systems that ship — from Kafka pipelines moving millions of events to agents that reason over them.
rohit — software engineer (data · backend · AI)
[ kafka-pipelines, langgraph-agents, low-bit-llms ]
shipping @ neiman-marcus-group since 2023 · load avg: healthy
I'm an AI-focused software engineer who enjoys the deep end: distributed systems, data engineering, and applied ML. Right now I design and deploy large-scale, high-performance data and AI systems at Neiman Marcus Group, supporting both customer-facing analytics and internal decision-making platforms.
Before that, I worked at NNR Global Logistics, tackling large-scale data challenges and modernizing pipelines across critical workflows — where I learned that reliability is a feature users feel.
I hold a Master's in Software Engineering from the University of Texas at Dallas, and I'm driven to explore what's next in data engineering and AI — whether building with founders, collaborating with domain experts, or shipping products that scale. Let's build something that matters.
Neiman Marcus Group
Software Engineer (Full Stack + Data)
I design and build large-scale, high-performance data and AI-adjacent systems supporting customer-facing analytics, operational intelligence, and internal decision-making platforms. My work sits at the intersection of distributed systems, data engineering, and applied ML.
- ▹Design and build large-scale data and AI-adjacent systems supporting customer-facing analytics and operational intelligence
- ▹Translate complex business requirements into reliable, production-grade solutions operating at enterprise scale
- ▹Partner with stakeholders across business units to translate requirements into scalable, production-grade data products
- ▹Power downstream analytics for fraud detection, demand forecasting, and inventory optimization using ML models
NNR Global Logistics
Software / Data Engineering · prior
Tackled large-scale data challenges and contributed to modernizing pipelines across critical logistics workflows — sharpening the fundamentals of building reliable, scalable systems.
University of Texas at Dallas
Master's in Software Engineering
Graduate Degree
Nava — High-Performance Dating Platform
Distributed systems architecture for real-time social connections at scale
In Progress — App Store Launch Pending
- ▹Rust/Axum backend engineered for 10K+ concurrent connections per node using Tokio async runtime, stateless horizontal scaling with Redis shared state, and SQLx connection pooling with PgBouncer patterns.
- ▹GraphQL API layer with async-graphql DataLoader (N+1 elimination), field-level auth, JSONB flexible schemas, composite indexes, and read replica routing for query optimization.
- ▹Real-time messaging via WebSocket pub/sub with broadcast channels, typing indicators, and read receipts. WebRTC signaling server for video/voice with ICE candidate relay and session state management.
- ▹ML pipeline using ONNX Runtime (tract) for face detection, liveness verification, and embedding extraction. Vector similarity search with cosine distance for fraud detection and duplicate account prevention.
- ▹Intelligent matching engine with multi-dimensional compatibility scoring, geo-filtering, bloom filters for seen-user deduplication, and configurable ranking weights for AI-assisted discovery.
- ▹Production infrastructure: Prometheus metrics (latency histograms, error budgets), distributed tracing with correlation IDs, Kubernetes on Docker multi-stage builds, and MCP server for analytics.
Supply Chain & Inventory Analytics Platform
Event-driven inventory tracking with Kafka consumer groups, offset management, and predictive ML models
- ▹Kafka consumers with manual offset commits, partition rebalancing handlers, and dead letter queues across 50+ inventory event topics.
- ▹Exactly-once semantics using Kafka transactions and idempotent producers for critical inventory adjustments across distribution centers.
- ▹ARIMA and Prophet forecasting models for demand prediction, integrated with Airflow DAGs for daily retraining and feature store updates in Snowflake.
- ▹dbt transformation layer with incremental models, SCD Type 2 snapshots, and data quality tests with Great Expectations.
AI-Powered Order Fulfillment Platform
Python microservices with FastAPI, LangGraph agents, and MCP Server for intelligent order orchestration
- ▹FastAPI microservices for order lifecycle management on DynamoDB, with GSI query patterns and Streams CDC to downstream analytics.
- ▹LangGraph multi-agent workflows for intelligent order routing, exception handling, and customer communication with human-in-the-loop checkpoints.
- ▹LangChain RAG pipelines with Pinecone vector stores for order history retrieval and context-aware support automation.
- ▹MCP Server integration exposing inventory APIs, shipping calculators, and order status endpoints as callable tools for AI agents.
Interactive 3D Portfolio with AI Chatbot
This site — Next.js, Three.js, and an OpenAI-powered assistant on AWS
- ▹Next.js 16 with React Three Fiber 3D graphics, mobile-first responsive design, and load times under 3 seconds.
- ▹OpenAI-powered chatbot (Spuff) with streaming responses, plus a validated contact pipeline via Resend.
- ▹AWS deployment with CloudFront CDN, Route 53, SSL, and CI/CD via GitHub Actions — hybrid SSR/CSR rendering for SEO.
Amaravati — Smart City Mobility Platform
Amaravati, Andhra Pradesh
Data Engineering
Full Stack
AI/ML & Agents
Cloud & Infrastructure
3D & Frontend Craft
Analytics & Collaboration
Let's build something that matters.
I'm eager to make meaningful impact across healthcare, fintech, social good — or the next big thing. My inbox is always open.