Prasad Adireddi

VP of Engineering

Hyderabad, Telangana, India14 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

14+ years of diverse IT experience.
Expert in building AI and ML solutions.
Strong leadership in cloud and data engineering.

Stackforce AI infers this person is a Cloud Computing and AI/ML expert with strong leadership capabilities.

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Skills

Core Skills

MlopsKubernetesMachine LearningGenerative AiData EngineeringArtificial Intelligence (ai)Cloud ComputingDevopsAutomation

Other Skills

AI strategiesModel lifecycle managementInference workloadsFine-tuningRetrieval augmented generationKubeflowOpenLLMTensorRTKServeTeam ManagementCloud-native applicationsPythonDockerCloud platformsMonitoring solutions

About

14+ years of IT experience in various technologies into multiple roles as, systems engineer, programmer, DevOps specialist, solution architect and engineering leader with focus on talent management, system design, building cloud solutions for Data and AI/ML ecosystem. Strong working skills in Kubernetes Cluster deployments, operating large-scale clusters on hybrid public/private cloud platforms, application development, building data pipelines, and developing ML model life cycle management solutions.

Experience

14 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

4 yrs 1 mo

Current Experience

Hewlett packard enterprise

2 roles

Sr. Engineering Manager, Private Cloud AI

Promoted

Apr 2025 – Present · 1 yr 2 mos · Hybrid

GenAI Knowledge Hub: Develop AI strategies for low-code/no-code experience to focus
on two areas: Inference workloads, ranging from applications that utilize large language
models (LLMs) to specific industry use cases, and using enterprise data to provide
context with techniques such as fine-tuning and retrieval augmented generation (RAG).
MLOps Excellence: Experienced in implementing and managing MLOps pipelines with
E2E model lifecycle, ensuring model reliability, scalability, and reproducibility. And
Kubeflow with scaling and deploying Machine Learning models and managing
inference model endpoints through OpenLLM, TensorRT, KServe frameworks.

MLOpsKubernetesMachine LearningAI strategiesModel lifecycle management

Engineering Manager, Private Cloud AI

Apr 2022 – Mar 2025 · 2 yrs 11 mos · Hybrid

Develop AI strategies for low-code/no-code experience to focus on two areas: Inference workloads, ranging from applications that utilize large language models (LLMs) to specific industry use cases, and using enterprise data to provide context with techniques such as fine-tuning and retrieval augmented generation (RAG).
Leading and Delivering Open Source, Data Engineering and AI/ML frameworks - Kubeflow, MLflow, Airflow, Spark, Ray etc, onto Ezmeral Unified Analytics Software platform.

Data EngineeringAI strategiesMLOpsTeam ManagementGenerative AIArtificial Intelligence (AI)

San data systems

Global Software Architect - K8s & MLOPs

Apr 2019 – Mar 2022 · 2 yrs 11 mos · Hyderabad, Telangana, India · Remote

Develop and containerize various big data & machine learning applications
Design and implement DevOps/MLOps solution
Architect, customize and deploy cloud-native applications with ML workloads to Container Platform (HPE Ezmeral/Kubernetes).
Build custom NetworkOps tool in Python using NETCONF RFC capabilities to manage Cisco devices.

KubernetesMLOpsCloud-native applicationsPython

Cloud fx labs

Lead Engineer

Dec 2016 – Apr 2019 · 2 yrs 4 mos · Hyderabad Area, India · On-site

Develop collectd open source APM plugins in python for cloud-native applications, Apache Solr, Kafka, OpenStack etc.
Build docker images for cloud-native applications.
Setup Kubernetes clusters on various cloud platforms, OpenShift, AWS (EKS), Azure (AKS), and GCP.
Verify and validate Splunk SignalFx infra monitoring solution on Kubernetes clusters deployed onto multiple cloud providers.
Develop automation framework for validating APM metrics and respective APIs using Python.

DockerKubernetesCloud platformsAutomationCloud Computing

Qualcomm

Engineer

Nov 2014 – Dec 2016 · 2 yrs 1 mo · Hyderabad Area, India · On-site

Develop Automation framework for Platform boot validation, backhaul and IPSec performance with various encryption algorithms in Python.
Manage code repositories for development and QA automation source code and perform DevOps activities.
Maintain and fix the Small Cell OAM subsystem records update and validation framework issues developed in Python.
Developing Automation framework for Location and TFCS test suites using Python and Shell scripting.
Perform frequency synchronization functional test cases and validate operating requirements with various sync sources such as GPS, LTE, and NTP by integrating test framework to Jenkins pipeline.

PythonDevOpsAutomation

Sree vidyanikethan engineering college (autonomous)

Assistant Professor

Jan 2014 – Jun 2014 · 5 mos · Tirupati Area, India

Cryptography and Network Security
Programming Skills
TEQIP

Ciphercloud

Senior Software Engineer

Mar 2013 – Nov 2013 · 8 mos · Hyderabad Area, India

Cloud (SalesForce, Gmail, Box) data security
Automatic build verification tool

Nokia siemens networks

2 roles

R&D Engineer

Aug 2011 – Mar 2013 · 1 yr 7 mos · On-site

Platform developer for EMS LTE O&M solution. Develop core platform using Unix shell scripting and Perl scripting and integrate the applications.

Software Engineer Consultant (ESoft)

Nov 2009 – Jul 2011 · 1 yr 8 mos · On-site

Involved in design for EMS box installation and upgrade/rollback for LTE O&M.
Complete understanding of platform functionality on server side communication between CM, FM and PM.
Developed and automated profile based installation and upgrade process for EMS box.

Motorola

Project Trainee

Jan 2009 – Jun 2009 · 5 mos

Acquired good domain knowledge in WiMAX Access Point functionality.
Good understanding of FCAPS for a Network Management.
Developed Fault management and Configuration management automation module to test the AP-NM functionality using Perl/Tcl.
Identified and Developed different upgrade/rollback scenarios of AP–NM software upgrade functionality using Perl and Shell.