Summary
Overview
Work History
Education
Skills
Certification
Clearances
Timeline
Generic

Nickell Reddy

AI/ML Architect
San Diego

Summary

Dynamic and results-oriented AI/ML Architect with over 15+ years of progressive experience in designing, implementing, and optimizing cutting-edge artificial intelligence and machine learning solutions. Adept at leading cross-functional teams and collaborating with stakeholders to translate business requirements into scalable and innovative AI-driven products. Demonstrated expertise in architecting end-to-end AI/ML pipelines, leveraging a comprehensive understanding of algorithms, frameworks, and cloud technologies. Proven track record of delivering high-impact projects across diverse domains, including natural language processing, computer vision, predictive analytics, and recommendation systems. Skilled in driving organizational transformation through the adoption of AI/ML technologies, promoting a culture of continuous learning and innovation. Strong leadership, communication, and problem-solving skills, with a passion for driving business value through data-driven insights and intelligent automation.

Overview

20
20
years of professional experience
14
14
Certifications

Work History

AI/ML Engineer

IBM
03.2020 - 09.2023
  • Cloud Developer working in the Cloud Ecosystem team and Worked for AI ML Data pipeline setup
  • Proficient in designing and implementing deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs).
  • Experience with frameworks such as TensorFlow and PyTorch for building and training complex neural network architectures.
  • Familiarity with advanced techniques like attention mechanisms, self-attention, and transformer-based models (e.g., BERT, GPT).
  • Applied deep learning to various domains including computer vision, natural language processing, and speech recognition.
  • Designed and implemented a CI/CD pipeline for a Kubernetes-based microservices AI ML architecture, reducing deployment time by 50% and increasing overall system reliability by 30%
  • Experience with dimensionality reduction techniques such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) for feature extraction and visualization.
  • Applied clustering algorithms like k-means, hierarchical clustering, and DBSCAN for unsupervised learning tasks such as customer segmentation and anomaly detection.

AI ML Staff Engineer

Teradata
11.2016 - 03.2020
  • Development of KubeKit, an application to install and configure Kubernetes clusters on multiple platforms and clouds
  • Developed end-to-end machine learning pipelines for various applications, including sentiment analysis, object detection, and recommendation systems.
  • Implemented state-of-the-art deep learning models such as CNNs, RNNs, and transformers using TensorFlow and PyTorch.
  • Collaborated with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
  • Applied machine learning algorithms including linear regression, decision trees, and support vector machines to solve classification and regression problems.
  • Implemented advanced techniques like ensemble learning, hyperparameter tuning, and feature selection to improve model performance.


AI/ML Engineer

Freelance Software Developer
01.2018 - 08.2018
  • Deployed machine learning models as RESTful APIs using Flask and Django frameworks for seamless integration with web applications.
  • Containerized models using Docker and deployed on cloud platforms like AWS and Google Cloud Platform (GCP) for scalability and reliability.
  • Implemented CI/CD pipelines for automated testing, building, and deployment of machine learning models.
  • Contributed novel algorithms, methodologies, or insights to the field, demonstrating a strong understanding of theoretical concepts and practical applications.
  • Maintained or developed custom machine learning libraries, packages, or utilities to address specific domain challenges or enhance existing functionalities.

AI/ML Data Associate

FICO
07.2015 - 11.2016
  • Led a team in building a convolutional neural network (CNN) model to classify images in a retail environment for inventory management.
  • Implemented transfer learning with pre-trained models like VGG16 and ResNet to improve model performance.
  • Successfully deployed the system on edge devices for real-time image classification.
  • Handled the 11 AI/ML Engineers code reviews.
  • Incorporated user behavior data to personalize recommendations for e-commerce platforms, resulting in a 20% increase in sales.
  • Implemented the system on a scalable cloud infrastructure to handle large volumes of data.

System Administrator & Unix Developer

Global HITSS
09.2013 - 07.2015
  • Automation of Unix Admin tasks developing Bash and Perl scripts
  • Development and maintenance of Kairos, a job scheduler and event driven file transfer similar to AutoSys or Jenkins, used by Yellow Pages to transfer remote files and execute remote commands
  • Development of Kairos CLI and backend using Perl and Dancer Web framework, MySQL and MongoDB
  • Development of Kairos Web interface using AngularJS, jQuery, and Bootstrap
  • Provisioning, Configuration Management and shipping of development and testing environments using Docker, Fig (former Docker Compose), Packer, Vagrant and Puppet on VirtualBox and AWS
  • Deployment of Kairos to multiple servers in testing and production environments using Jenkins, Git and Docker
  • Configuration Management of 200+ servers with Puppet, Git, Hiera and Hiera-eyaml
  • Development and maintenance of a Sysadmin web dashboard to centralize tools and reports of System Patches, NetApp differences, Nagios monitoring dashboard, Servers Inventory using Facter and others, the application is continuously growing
  • The CLI and backend was developed using Perl, Dancer2 with Moo (Perl Object Oriented), Bash and MongoDB
  • Use of JSON files to transfer data to the frontend, which was developed with AngularJS, jQuery and Bootstrap
  • Development of the Sysadmin web dashboard improved version using MEAN (instead of LAMP) with NodeJS, Express and MongoDB
  • Migration of 100+ servers and applications from a datacenter to the IBM cloud (SoftLayer) using Puppet and Git
  • Manual execution of Sysadmin activities such as Storage Management with NetApp, Server Virtualization Management with vmWare and other general Sysadmin tier/level 1 tasks on Windows, RedHat ES, Ubuntu, CentOS and HPUX, virtual and baremetal
  • On-Call service non-business hours every 6 weeks.

Technical Leader and Senior Sysadmin

Principal Information Technology
11.2012 - 09.2013

Program Manager and QA & UAT Program Manager

Principal Information Technology
05.2008 - 11.2012

Technical Leader, Infrastructure Architect and Senior Sysadmin

Principal Information Technology
08.2003 - 05.2008

Education

Skills

Go Developerundefined

Certification

Certified Kubernetes Administrator (CKA)

Clearances

  • DoD Secret
  • DHS Public Trust
  • IRS MBI

Timeline

AI/ML Engineer

IBM
03.2020 - 09.2023

AI/ML Engineer

Freelance Software Developer
01.2018 - 08.2018

AI ML Staff Engineer

Teradata
11.2016 - 03.2020

AI/ML Data Associate

FICO
07.2015 - 11.2016

System Administrator & Unix Developer

Global HITSS
09.2013 - 07.2015

Technical Leader and Senior Sysadmin

Principal Information Technology
11.2012 - 09.2013

Program Manager and QA & UAT Program Manager

Principal Information Technology
05.2008 - 11.2012

Technical Leader, Infrastructure Architect and Senior Sysadmin

Principal Information Technology
08.2003 - 05.2008

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Nickell ReddyAI/ML Architect