Available · Austin, TX

Engineeringintelligenceinto production.

I'm Kanakaraju — a Senior GenAI Engineer with ~8 years across financial services, payments, e-commerce, and healthcare. I design and deploy production-grade LLM systems, agentic AI workflows, and RAG pipelines for regulated enterprise environments.

~8 years experience3× Cloud AI Certified (AWS GenAI · AWS ML · Azure AI)MSCS · UMKC

Explore work

PythonLangGraphLangChainFastMCPMilvusPineconeFAISSClaudeGPT-4Amazon BedrockAzure OpenAISageMakerAWS GravitonEKSAKSDatabricksSnowflakePyTorchTensorFlowXGBoostMLflowLangSmithTerraformArgo CDGitHub ActionsDocker BuildxKafkaApache SparkAirflowFastAPIPythonLangGraphLangChainFastMCPMilvusPineconeFAISSClaudeGPT-4Amazon BedrockAzure OpenAISageMakerAWS GravitonEKSAKSDatabricksSnowflakePyTorchTensorFlowXGBoostMLflowLangSmithTerraformArgo CDGitHub ActionsDocker BuildxKafkaApache SparkAirflowFastAPI

Trusted across regulated enterprise — past & present

01 · Positioning

Building AI systems
that are actually deployed.

Frontier models are easy to demo. Getting them past compliance, into production, and onto the critical path — that's the work I care about.

Philosophy

LLMs are a component.
MLOps is the product.

My work centers on the unglamorous layer between a model and a user — retrieval, observability, safety rails, and deployment. I architect Model Context Protocol servers, LangGraph multi-agent workflows, and RAG pipelines that survive contact with auditors.

Fewer hallucinations

Exception capture

Compliant traffic

Currently

Senior GenAI Engineer at Arm

Leading the Arm MCP Server and Cloud Migration Assistant Custom Agent — helping developers move workloads from x86 to Arm using autonomous AI agents wired into Copilot, Claude Code, Kiro and Gemini CLIs.

Domains

Where I've shipped

Payments & fraud
Asset management
Clinical NLP / healthcare
Developer tooling

Signature stack

Agentic workflows

LangGraph · FastMCP · Claude · GPT-4 · Bedrock · Milvus · Pinecone · FAISS · LangSmith

Cloud fluency

Multi-cloud by default

SageMaker · Bedrock · EKS · Azure ML · AKS · Databricks · Snowflake · Terraform · GitOps

02 · Craft

The toolkit,
organized by layer.

Generative AI & LLMs

Frontier models + fine-tuning

Claude 3.5Amazon BedrockAzure OpenAIGPT-4GeminiMistralLoRAQLoRAPEFT

03 · Experience

Shipped in regulated
enterprise environments.

Four companies. Financial services, payments, healthcare, silicon. Measurable outcomes at every stop.

Sep 2025 — Present

Austin, TX

Arm

Senior GenAI Engineer at Arm

Senior GenAI Engineer

Arm MCP Server & Cloud Migration Assistant Custom Agent

Led development of the Arm MCP Server enabling autonomous AI agents to migrate cloud applications from x86 to Arm — wired into GitHub Copilot, Claude Code, Kiro CLI and Gemini CLI to scan repos, validate Docker compatibility, and translate x86 code into Arm equivalents.

Designed the Arm MCP Server in Python + FastMCP with a centralized server.py — cut developer onboarding by 60%.
Standardized tool calling via MCP + JSON-RPC across Copilot, Claude Code, Kiro and Gemini CLIs for AWS Graviton, Google Axion and Azure Cobalt 100.
Containerized RAG knowledge base on Milvus — reduced LLM code hallucinations 85% across a 200-query benchmark.
Automated x86→Arm scanning via migrate-ease in a custom MCP pipeline — turned days of code review into under 2 hours of guided refactoring.
Skopeo + check-image multi-agentic tool cut pre-deployment architecture validation by 75%.
Dual-arch Docker Buildx (linux/amd64 + linux/arm64) reduced cross-platform build failures by 80%.
LLVM-MCA integration accelerated assembly-level benchmarking 4×; sysreport + Arm Performix replaced 6+ hours of manual telemetry.
Partnered with DevOps to migrate 50+ legacy x86 microservices to Arm in the first quarter; SOC 2 + GDPR-compliant deployment via Zero Trust RBAC on Amazon EKS.

FastMCPMCPJSON-RPCMilvusRAGGPT-4Claude Sonnet/OpusCopilotKiro CLIGemini CLIDocker BuildxSkopeoTerraformAWS Copilot CLIEKSECSGravitonLLVM-MCAPythonasyncioSOC 2GDPR

Aug 2024 — Sep 2025

Boston, MA

State Street

AI Development & Platform Engineer at State Street

AI Development & Platform Engineer

Alpha Data Platform (ADP)

Architected the GenAI infrastructure powering Alpha Data Platform — turning unstructured financial data into compliant, hallucination-minimized natural-language insight on Snowflake, Databricks and Azure OpenAI.

Natural-language queries over Snowflake-powered financial data lakes via Python + FastAPI — 70% faster time-to-insight.
Deterministic RAG on Azure OpenAI GPT-4 + Azure AI Search + FAISS + Pinecone — near-zero hallucination, sub-second retrieval.
Stateful multi-agent workflows in LangChain + LangGraph monitored 10+ global asset portfolios with full conversation memory.
Azure AI Document Intelligence + Databricks ai_parse_document automated legal covenant extraction — manual processing time down 80%.
Deep-learning anomaly detection (PyTorch + TensorFlow) hit 99.6% true-exception capture, eliminated 87% of false positives.
Backstage + Crossplane Golden Paths cut environment provisioning by 65% — compliant AI microservices in under 10 min.
Databricks AI Gateway enforced PII/MNPI compliance on 100% of external LLM traffic with full Unity Catalog audit logging.

PythonFastAPIAzure OpenAIGPT-4LangChainLangGraphSnowflakeDatabricksPyTorchTensorFlowPineconeFAISSAKSTerraformCrossplaneArgo CDGitHub ActionsBackstageMLflowPrometheusElasticsearch

Jun 2022 — Jul 2023

India

FIS Global

Machine Learning Engineer II at FIS Global

Machine Learning Engineer II

FraudSight for WorldPay

Real-time fraud detection and risk scoring across billions of payment transactions — end-to-end ML pipelines from large-scale feature engineering to low-latency inference, with strict MLOps + regulatory compliance.

Engineered the FraudSight risk scoring engine (Adaptive Behavioral Analytics + ensemble XGBoost) on billions of labeled outcomes — chargebacks down up to 95% for tier-one merchants.
RNN Deep Behavioral Networks (TensorFlow + Keras) on SageMaker modeled temporal cardholder sequences to catch botnet patterns and reduce false declines.
Distributed feature pipelines on Spark + PySpark + Databricks Lakehouse extracted signals from 40B+ annual transactions across gateway, acquiring and issuer streams.
FastAPI + Featurespace ARIC inference microservices on EKS — sub-100ms scoring latency via optimized serialization and batch prediction paths.
Automated retraining, hyperparameter tuning, drift monitoring with SageMaker Pipelines + MLflow + Airflow — full regulatory auditability.
99.99% uptime on the core payments gateway integration securing billions in GMV.

PythonScikit-learnXGBoostPandasTensorFlowKerasSageMakerSageMaker PipelinesSparkPySparkDatabricks LakehouseSnowflakeFastAPIEKSFeaturespace ARICMLflowAirflowCloudWatch

Aug 2019 — May 2022

India

enGen Global

Machine Learning Engineer at enGen Global

Machine Learning Engineer

Enterprise Health Solution Platform

Python data engineering, ML and automated workflows on a HIPAA / HITRUST-certified health plan administration platform serving 13 enterprise clients and 10M+ members.

ETL pipelines processing 260M+ annual records (pandas, NumPy, SQLAlchemy) — 30% faster transform cycles via query optimization.
Metadata-driven PySpark + dbt ingestion framework transforming healthcare records into SCD Type 2 dimensional models on Apache Iceberg + BigQuery lakehouses.
Anomaly detection (scikit-learn, XGBoost, Isolation Forest) on transactional data — manual review volume down 30% across multi-tenant pipelines.
PySpark distributed jobs on 10M+ records via partitioning, broadcast joins and lazy eval — 40% better batch throughput.
Airflow DAGs + Python rule engines automated quality reporting across 13 clients — turnaround dropped from weeks to under 48 hours.
Compliant data handling with PII de-identification, RBAC, and audit logging — 100% pass rate on regulatory + HIPAA / HITRUST audit cycles.

PythonpandasNumPySQLAlchemyPySparkdbtApache IcebergBigQueryOracleTeradatascikit-learnXGBoostIsolation ForestSparkAirflowIBM UrbanCode DeployIBM BPMHIPAAHITRUST CSFRBAC

Jun 2017 — Aug 2019

India

Meesho

Associate Data Engineer at Meesho

Associate Data Engineer

Cloud Data Warehousing & Legacy Bottleneck Resolution

Migrated foundational data storage from legacy pre-aggregated databases to scalable cloud data warehouses and real-time analytics, supporting petabyte-scale processing and billions of daily interaction events.

Advanced ETL on Python + Google BigQuery at petabyte scale — enabled real-time data processing and significantly cut MTTR for platform incidents.
Integrated Trino + Metabase to offload massive historical queries — served 13M+ analytical queries in 10 months under strict data governance.
Spearheaded the NRT analytics platform migration from Apache Druid + Flink to Apache Pinot — enabling event-level clickstream analysis and instant RCA.
Assisted in deploying Prism Query Federator with Request Coalescing to unify high-concurrency queries across Pinot and the historical lake without backend overload.
Implemented PII masking and governance protocols across cloud analytics pipelines for strict compliance.

Google BigQueryApache PinotTrinoApache FlinkApache DruidPrism Query FederatorPythonAdvanced SQLMetabaseGCPPII Masking

04 · Credentials

Certified on the frontier.

AIP-C01

AWS Certified
Generative AI Developer

Amazon Web Services

AI-103

Microsoft Certified
Azure AI Apps & Agents Developer Associate

Microsoft

MLA-C01

AWS Certified
Machine Learning Engineer Associate

Amazon Web Services

Education

Master of Science, Computer Science

University of Missouri — Kansas City

GPA

3.82/4.0

05 · Let's collaborate

Have a hard problem
at the intersection of
AI and production?

I'm open to senior roles and advisory engagements in applied GenAI, MLOps, and agentic systems — especially where compliance, observability, and scale are non-negotiable.

rajugottumukkala96@gmail.com

Phone

+1 (816) 352-4975

Network

linkedin.com/in/gkr5413

Code

github.com/gkr5413

Crafted with intention.