28.10.2026 aktualisiert

RK
100 % verfügbar

Senior AI/ML Solution Architect | GenAI, LLM, RAG, Agents | Python, AWS Bedrock, Kafka, Kubernetes

Mainz, Deutschland
Weltweit
Master of Computer Applications (MCA)
Mainz, Deutschland
Weltweit
Master of Computer Applications (MCA)

Profilanlagen

Rahul_Kumar_CV.pdf

Über mich

Hands-on AI/ML solution architect, 13+ years in Python, data platforms and cloud. I design and ship production GenAI on AWS: RAG, GraphRAG and LLM agents with evaluation, guardrails and observability, plus Kafka/Flink streaming and ML pipelines. Remote or on-site Rhein-Main.

Skills

AI AgentsRAGServerlessLLMBedrockMLOpsSageMakerLangChainJavaAPIsKünstliche IntelligenzAmazon Web ServicesAmazon S3Big DataCloud ComputingContinuous IntegrationData ArchitectureETLAmazon DynamoDBElasticsearchPythonPostgreSQLMachine LearningNatural Language ProcessingNeo4jNode.jsNumPySoftware ArchitecturePrometheusSolution ArchitectureTypeScriptAWS CDKApache CassandraChatbotsData ScienceEvent-driven ArchitecturePyTorchReact.jsLarge Language ModelsGrafanaPrompt EngineeringApache SparkDeep LearningGenerative AIAWS LambdaFastAPIpandasPySparkScikit-learnAWS AuroraKubernetesApache FlinkXgboostApache KafkaApi-GatewayTerraformAWS EKSDockerMicroservices
Generative AI / LLM Engineering
  • Solution architecture for production GenAI: RAG, GraphRAG, agentic workflows (ReAct, Plan-and-Execute, Reflexion), tool use, MCP servers
  • AWS Bedrock (Claude, Titan Embeddings), LangChain, prompt engineering, LLM evaluation (DeepEval / Confident AI), guardrails (Bedrock Guardrails, Guardrails AI), LLM gateway & observability (Portkey), cost and latency optimisation
  • Vector search and knowledge graphs: OpenSearch k-NN / HNSW, pgvector, embedding pipelines, Neo4j
Machine Learning & MLOps
  • PyTorch, XGBoost, scikit-learn, Pandas, NumPy, feature engineering, classification, churn prediction, predictive maintenance, time-series analysis, model serving, SageMaker
Data Engineering & Streaming
  • Apache Kafka, Apache Flink, PySpark, batch and real-time ETL, event-driven architecture, time-series data, 10M+ events/day at sub-second latency, billions of records per day
Cloud, DevOps & Platform
  • AWS: Lambda, API Gateway, Bedrock, OpenSearch, DynamoDB, Aurora PostgreSQL, S3, CloudFront, EKS, IVS live streaming, SageMaker
  • Serverless, AWS CDK, Terraform, Docker, Kubernetes, CI/CD (GitHub Actions, Bitbucket Pipelines), Prometheus, Grafana, ELK
Backend & APIs
  • Python (FastAPI), TypeScript / Node.js, Java, React, REST APIs, microservices
  • PostgreSQL, DynamoDB, Cassandra, Neo4j, OpenSearch
Industries: media / OTT and live streaming, retail and finance, agriculture, industrial IoT, automotive (connected car), telecom
Languages: English (fluent), German (basic), Hindi (native)

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2019

Sprachen

DeutschGrundkenntnisseEnglischverhandlungssicherHindiMuttersprache

Projekthistorie

Independent Solution Architect & AI/ML Engineer – GenAI, LLM, RAG, Data Platforms

Freelance – clients incl. Syngenta, ABB, HID Global, Smart Cars

Internet und Informationstechnologie

  • Syngenta – GraphRAG for social listening: Neo4j knowledge graph + LLM retrieval on AWS Bedrock (Claude) for brand context, sentiment and trend analysis
  • Syngenta – customer churn prediction: feature engineering, XGBoost / PyTorch models, real-time FastAPI prediction APIs, serverless batch and event-driven inference
  • Media / OTT platform – conversational AI: RAG chat on Bedrock, OpenSearch vector store (Titan embeddings), DynamoDB conversation history, live streaming on AWS IVS
  • ABB – predictive maintenance: fault detection on industrial sensor data, training / evaluation pipelines and MLOps deployment
  • Smart Cars – connected-car streaming: Kafka + Flink telemetry pipelines, 10M+ events/day at sub-second latency, feature pipelines for ML
  • Across projects: LLM evaluation (DeepEval), guardrails, LLM gateway & observability (Portkey), Prometheus / Grafana / ELK monitoring
Tech: Python, AWS Bedrock, LangChain, OpenSearch, Neo4j, PyTorch, XGBoost, FastAPI, Kafka, Flink, PySpark, AWS Lambda, EKS, Docker, Terraform

Senior Engineer / Technical Lead – Finance Integration Platform

Target Corporation

Konsumgüter und Handel

  • Multi-tenant integration platform serving 100+ business applications, processing billions of financial records per day
  • Distributed time-series database infrastructure storing petabytes of financial data with low-latency queries
  • High-performance integration services across Kafka, REST APIs and Cassandra with multi-threaded processing and custom sharding
  • Docker / Kubernetes CI/CD: 70% faster deployments with zero-downtime releases; validation, monitoring and audit workflows
Tech: Java, Apache Kafka, Cassandra, REST APIs, Docker, Kubernetes, CI/CD

Senior Engineer – OSS R&D (Network Provisioning & Inventory)

L&T Technology Services / Alcatel-Lucent

Telekommunikation

  • Network provisioning and inventory-management systems for distributed telecom equipment
  • REST APIs and backend services focused on reliability, performance and integration readiness
Tech: Java, REST APIs, backend services

Senior Software Engineer – Telecom Provisioning

CGI

Telekommunikation

  • Telecom provisioning systems supporting mobility services across distributed network infrastructure
  • Backend services, batch-processing jobs, data-access layers and production optimisation
Tech: Java, REST APIs, batch processing


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