Available For Backend RolesAvailable For Cloud RolesAvailable For AI Roles

Backend · AI · Cloud Engineering

Cloud-native backend systemsAI-powered product engineering||

Kaushik Maslekar

I build scalable backend systems and cloud-native infrastructure using Java, Spring Boot, and modern distributed technologies.

On the backend side, I design resilient APIs and event-driven microservices for real production workloads.

On the AI side, I build practical RAG and ML-powered features that integrate cleanly into cloud-native systems.

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focus

APIs + Microservices

specialty

Event-driven Design

target

Cloud Scale

live config

platform blueprint

system-architecture.ts

interface ServiceBoundary {
  domain: "payments" | "events" | "observability";
  scale: "horizontal";
  strategy: "event-driven";
}

const cloudStack = {
  runtime: "Spring Boot",
  messaging: "Kafka",
  orchestration: "Kubernetes",
  datastore: ["PostgreSQL", "Redis", "MongoDB"],
  infrastructure: "Terraform",
};

const objective = "99.95% service availability";

Tech Stack

Grouped by engineering domains, based on my production and research projects.

Backend:

Spring Boot, Spring MVC, Spring Cloud, Microservices, REST APIs

Data & Persistence:

JPA, Hibernate, JDBC, Solr

Databases:

OracleDB, MySQL, MongoDB, PostgreSQL

Distributed Systems:

Kafka, Redis, Hazelcast, Reactive Streams (Mono/Flux), Resilience4j, Multithreading

DevOps & Monitoring:

Docker, Kubernetes, AWS, Terraform, Jenkins CI/CD, Git, Prometheus, Grafana, Datadog

Testing & Tools:

JUnit, Mockito, Maven, Gradle, Postman, Swagger, IntelliJ IDEA, VS Code

AI & Deep Learning:

Scikit-learn, TensorFlow, PyTorch, CNNs, RNN/LSTM, Attention Mechanisms, Transformer Architecture

LLM Engineering:

RAG, LangChain, LlamaIndex, Vector Databases (FAISS, Pinecone, Chroma), Prompt Engineering

MLOps:

MLflow, Experiment Tracking, Model Versioning, Kubeflow, Docker, Kubernetes, CI/CD for ML Pipelines

Data Processing:

Pandas, NumPy, Apache Spark, Kafka

Programming:

Python, SQL, Java

Engineering Notes

Short notes on RAG systems, cloud architecture, and distributed systems. I write these to think in public and build a strong long-term engineering brand.

Read all notes

Featured Projects

Selected engineering work focused on reliability, event processing, and cloud-native backend architecture.

Payment Processing System

A resilient payment pipeline handling high-throughput transactions with strong consistency and auditable events.

JavaSpring BootKafkaPostgreSQLRedisDockerAWS

GitHub

Kafka Event Processing Platform

An event-driven platform for processing device telemetry and operational events with near real-time stream analytics.

JavaKafkaDockerKubernetesMongoDBPrometheus

GitHub

IoT Device Monitoring System

Cloud-native monitoring stack for IoT sensors with automated alerting and historical trend analysis.

Next.jsPythonFirebaseIoTESP32Cloud Functions

GitHub

AI Retrieval Augmented Generation System

A domain-focused knowledge assistant using retrieval augmented generation to reduce hallucinations.

PythonLangChainFAISSTransformersDockerAWS

GitHub

Agentic RAG Orchestration Platform

A multi-agent retrieval system where planner, retriever, verifier, and response agents collaborate to answer complex enterprise queries with higher reliability.

PythonLangChainLlamaIndexFAISSOpenAI APIFastAPIRedisDocker

GitHub

Graph RAG Knowledge Intelligence Engine

A Graph RAG system that combines knowledge graphs with semantic retrieval to answer relationship-heavy questions across entities, events, and documents.

PythonNeo4jCypherLangChainTransformersFAISSFastAPIDocker

GitHub

Enterprise Network Monitoring System

A centralized observability platform for enterprise networks with real-time health checks, anomaly alerts, and SLA-focused dashboards.

PythonPrometheusGrafanaKafkaRedisDockerLinux

GitHub

AWS Multi-Tier VPC Architecture

Production-ready AWS reference architecture with isolated public/private tiers, secure connectivity boundaries, and scalable service deployment patterns.

AWSTerraformVPCEC2RDSCloudWatchIAM

GitHub

Multi-Region Traffic Routing System

A high-availability traffic routing layer that directs users to healthy nearest regions with failover automation and latency-aware policies.

AWSRoute 53CloudFrontKubernetesPrometheusGrafanaTerraform

GitHub

AI Research Agent

An autonomous research assistant that plans literature exploration, gathers evidence from trusted sources, and synthesizes structured findings with citations.

PythonLangChainLlamaIndexOpenAI APIFastAPIPostgreSQLDocker

GitHub

Multi-Model RAG Platform

A retrieval platform that dynamically routes queries across multiple LLMs and embedding models to optimize answer quality, latency, and cost.

PythonLangChainFAISSTransformersRedisFastAPIDockerPrometheus

GitHub

Legal AI Assistant

A domain-tuned legal assistant for clause analysis, case-law retrieval, and compliance-oriented question answering over legal documents.

PythonLangChainLlamaIndexFAISSPostgreSQLFastAPIDockerAWS

GitHub

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Let's work together

Have a project in mind? Let's create something amazing.

Email Me Book a Call

Prefer direct call? +91 93257 90846

Backend · AI · Cloud Engineering

Cloud-native backend systemsAI-powered product engineering||

Kaushik Maslekar

Tech Stack

Engineering Notes

RAG: Why Retrieval Fails Before Generation

Cloud Architecture: Event-Driven Service Boundaries

Distributed Systems: Backpressure Is a Product Feature

Featured Projects

Let's work together