Likith Nadendla

Likith Nadendla

ML/DevOps Engineer who architects, deploys, and operationalizes secure, cloud-native machine learning systems at scale

United States
503-454-6925
likith@likith.net

About Me

ML/DevOps Engineer who architects, deploys, and operationalizes secure, cloud-native machine learning systems at scale. Experienced in automating pipelines, orchestrating data workflows, and hardening infrastructure across AWS and Kubernetes environments. Proven ability to optimize inference performance, instrument observability, and enforce compliance for regulated industries, especially healthcare and enterprise retail.

ML Systems Architecture

Architecting and deploying secure, cloud-native ML systems with automated pipelines and data workflows

Infrastructure & DevOps

Hardening infrastructure across AWS and Kubernetes with CI/CD guardrails and infrastructure-as-code

Compliance & Monitoring

Enforcing compliance for healthcare and retail with comprehensive observability and monitoring systems

Technical Skills

AWS & MLOps Platforms

AWS SageMakerAWS SageMaker
AWS Step FunctionsAWS Step Functions
AWS LambdaAWS Lambda
MLflowMLflow
KubeflowKubeflow
DVCDVC

Programming Languages

PythonPython
BashBash
SQLSQL
YAMLYAML
JSONJSON
HCLHCL

Data Pipelines & Orchestration

Apache AirflowApache Airflow
Great ExpectationsGreat Expectations
Apache KafkaApache Kafka
AWS GlueAWS Glue
dbtdbt
PandasPandas

CI/CD & Observability

GitLab CI/CDGitLab CI/CD
DatadogDatadog
CloudWatchCloudWatch
PrometheusPrometheus
GrafanaGrafana
PagerDutyPagerDuty

Databases & Storage

PostgreSQLPostgreSQL
MySQLMySQL
DynamoDBDynamoDB
OpenSearchOpenSearch
S3S3
RedisRedis

Containerization & Orchestration

DockerDocker
KubernetesKubernetes
ECS/FargateECS/Fargate
TerraformTerraform
CloudFormationCloudFormation
HelmHelm

Infrastructure & Linux

Linux AdministrationLinux Administration
NFS/NetworkingNFS/Networking
SSH/RBACSSH/RBAC
NginxNginx
AWS IAMAWS IAM
AWS Secrets ManagerAWS Secrets Manager

ML Frameworks & Serving

XGBoostXGBoost
TensorFlowTensorFlow
PyTorchPyTorch
Scikit-learnScikit-learn
TensorFlow ServingTensorFlow Serving
Seldon CoreSeldon Core

Professional Journey

A timeline of my professional experience and career milestones in cloud technology and software development.

2024-Present

ML Ops Engineer — Nike

Portland, Oregon
April 2024 — Present

Architecting production-grade personalization platform on AWS powering product recommendations and homepage personalization

Designed hybrid personalization system combining offline embedding generation and real-time ranking with SageMaker
Implemented vector-based candidate generation using OpenSearch kNN integrated with keyword search results
Developed real-time XGBoost ranking services on SageMaker endpoints meeting p95 < 150ms latency SLOs
Built feature store patterns with SageMaker Feature Store for consistent training/inference definitions
Established Dev → Staging → Prod promotion pipelines with GitLab CI/CD and canary/shadow deployments
Integrated end-to-end observability using Datadog and CloudWatch with drift detection and SLI/SLO monitoring
Nike ML Pipeline Architecture

2023-2024

DevOps/ML Ops Engineer — Core Defender AI

Portland, Oregon
April 2023 — February 2024

Built HIPAA-compliant laboratory data and MLOps platform ingesting HL7 records with reproducible ML analytics and secure reporting

Architected HIPAA-compliant platform ingesting HL7 from LIS systems with external partner support and PHI isolation
Designed multi-stage data pipelines using Apache Airflow and AWS Step Functions with mixed SLA management
Implemented schema validation and data quality gates using Great Expectations for compliance assurance
Built reproducible ML pipelines with MLflow experiment tracking and drift-triggered retraining on ECS
Established dataset versioning via S3 snapshots and offline feature store patterns for regulatory audit readiness
Enforced PHI separation with encryption, RBAC, and comprehensive logging; built Datadog/PagerDuty observability
Core Defender Healthcare Data Architecture

2019-2022

Linux System Administrator — Hexagon R&D India

Hyderabad, India
May 2019 — August 2022

Administered Linux infrastructure supporting GIS research environments and geospatial compute workloads

Administrated Linux servers for geospatial compute, optimizing system parameters for GIS data processing
Implemented user/group policies and RBAC for research teams, improving accountability and system stability
Migrated legacy desktop nodes to centralized Linux servers, improving maintainability and resource utilization
Provided tier-2 support for GIS modeling tools, build tooling, and CI pipelines; created troubleshooting documentation
Automated health checks, log analysis, and maintenance using Bash scripting, reducing manual intervention
Configured NFS mounts, repositories, and package mirrors; collaborated on OS hardening and security practices
Linux InfrastructureSystem Administration

Academic Journey

My educational foundation in computer science, cybersecurity, and advanced technologies that shaped my career.

2022-2024

Master of Science in Computer Science

Pace University - Seidenberg School, New York City
Sep 2022 — May 2024

Specialized in cutting-edge technologies and advanced computer science concepts with focus on practical applications.

Data Engineering & Analytics
Cloud Computing & Infrastructure
Machine Learning & AI
Software Development & Systems Design
Pace University Logo

2020

Cyber Security Certification

Indian Dutch Cybersecurity School IDCSS
Feb 2020 — Oct 2020

Specialized certification program focusing on international cybersecurity frameworks and strategic security analysis.

Cyber Diplomacy & International Relations
Threat Intelligence & Risk Assessment
Security Policy & Strategic Analysis
Cross-Border Security Coordination
The Hague Centre for Strategic Studies - IDCSS Partner
Government of Telangana - IDCSS Partner

2017-2021

Bachelor of Technology in Computer Science

Vardhaman College of Engineering (VCEH), Hyderabad
May 2017 — Apr 2021

Comprehensive undergraduate program establishing strong foundation in computer science fundamentals and practical applications.

Software Development
Database Management
Security & Risk Management
Business Intelligence & Process Optimization
Vardhaman College of Engineering Logo

Get In Touch

I'm always interested in hearing about new opportunities and exciting projects. Whether you want to discuss cloud solutions, data analytics, or software development, feel free to reach out!

Location

United States

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