Backend & Systems Engineer

Mihir
Mohapatra
— Pune, IN

Building the high-performance infrastructure that makes
software and AI actually work in production.
Rust · Go · Java · Cloud-Native · ML Systems

🦀 Rust 🐹 Go ☕ Java 🤖 AI / ML ☁️ Cloud-Native ⚡ Distributed Systems 🏗️ Clean Architecture
Mihir Mohapatra
Tech9 · Pune
01

Technical Stack

🦀
Rust
Systems-level programming with zero-cost abstractions. Memory-safe, blazing-fast backends and CLI tooling — no GC, fearless concurrency.
Actix-webTokio Axumasync/await
🐹
Go
Microservices, APIs, and distributed backends. Clean concurrency model, minimal overhead — ideal for cloud-native service mesh work.
Gin/EchogRPC GoroutinesK8s Operators
Java / Spring
Production backend systems with Spring Boot. RESTful APIs, microservices architecture, event-driven design, and containerized deployments.
Spring BootSpring Cloud JUnitDocker
🤖
AI / ML Infrastructure
RAG pipelines, LLM inference backends, and AI gateway systems. From model serving to production-grade AI-powered API layers.
LangChainHuggingFace Vector DBsOpenAI API
☁️
Cloud & Infrastructure
Cloud-native architectures built for scale. Container orchestration, event streaming, and infrastructure-as-code for reliable deployments.
AWSKubernetes DockerTerraform
🗄️
Data & Messaging
High-throughput event streaming, message-driven architectures, and persistence layers for distributed, data-intensive systems.
KafkaPostgreSQL RedisElasticsearch
02

Projects

AI Gateway
AI Gateway
A unified API gateway layer for multiple LLM providers — routing, rate limiting, authentication, and cost tracking in one place. Built for production AI backends needing multi-model orchestration, fallback strategies, and observability.
Go LLM APIs API Gateway Docker Redis
RAG System
Blaze RAG
A high-performance Retrieval-Augmented Generation pipeline. Ingests documents, generates embeddings, stores them in a vector database, and retrieves context for accurate LLM responses. Fast, modular, and production-ready.
Python RAG Vector DB LangChain PostgreSQL
AI Chatbot
AI Chatbot
Conversational AI chatbot with multi-turn context management, session handling, and backend API integration. Powered by LLM inference with streaming responses and a clean, extendable architecture for domain-specific deployments.
Python LLMs Spring Boot PostgreSQL Docker
Cloud-Native Java
Orion
Spring Boot microservice fully containerized with Docker — demonstrating async processing patterns, REST endpoint design, and production-grade deployment via Docker Compose.
Java Spring Boot Docker
Event Streaming
Kafka Streaming
Real-world Apache Kafka integration with Spring Boot — producer/consumer patterns, event-driven architecture, and high-throughput message pipelines for distributed systems.
Kafka Java Spring Boot
Architecture
Design Patterns — Java
Comprehensive GoF design pattern implementations in Java. A reference library covering creational, structural, and behavioral patterns with clean, real-world examples.
Java Clean Architecture
03

Currently Exploring

Rust
Async Systems
Tokio runtime, memory ownership, zero-copy I/O
Go
Microservice Patterns
gRPC, service mesh, goroutine internals
AI / ML
LLM Inference Optimization
Quantization, batching, speculative decoding
Systems
eBPF Observability
Kernel-level tracing for cloud-native performance
AI Infra
Rust + WASM for Edge AI
On-device inference, WASM runtime integration
Platform
Kubernetes Operators
Custom CRDs, controller patterns, operator SDK
04

Experience

Current Position
Tech9
📍 Pune, India · Remote
Backend & Systems Engineer
Building scalable backend systems and cloud-native applications at Tech9, with a focus on clean architecture, high-performance APIs, and distributed infrastructure. Working across event-driven microservices, AI-powered backends (RAG, chatbot, AI Gateway), and systems-level tooling in Java, Go, and Rust. Actively bridging traditional backend engineering with modern ML infrastructure.
JavaSpring Boot GoPython KafkaDocker KubernetesAI/ML Infra RAGLLMs

Let's build
something fast.

Open to backend engineering roles, AI infrastructure projects, and systems programming work. Especially interested in Rust/Go teams building at scale.