About - Sandeep Kethireddy | AI/ML Engineering Manager

Technical Proficiencies

Programming Languages

Python, Java, JavaScript, NodeJS, C#, PL/SQL, Swift/Obj-C, Unix Shell Scripting

AI/ML & LLM Tools

PyTorch, TensorFlow, Scikit-Learn, HuggingFace Transformers, LangChain, LangGraph, AutoGen, OpenAI GPT-4, Anthropic Claude, Llama 2/3, Mistral, QLoRA fine-tuning, PEFT, Prompt Engineering, MLflow, Weights & Biases, Optuna, A/B Testing, Pinecone, Chroma, Weaviate, FAISS, OpenAI Embeddings, Sentence Transformers

Databases & Data

Oracle, MSSQL, PostgreSQL, MySQL, Snowflake, MongoDB, Redis, Kafka, RabbitMQ

Frameworks

Spring Boot, .NET, FastAPI/Starlette, Django, Flask, ReactJS, Android, iOS, Dev-Extreme, jQuery, Express.js

DevOps & Cloud

CI/CD, Jenkins, GitHub Actions, Git, Maven, Gradle, Docker, Kubernetes, AWS (SageMaker, Lambda, EC2, S3, RDS, EKS, CloudWatch), Azure, GCP

Integration & Testing

Mulesoft, SSIS, Selenium, jUnit, Pytest, Apache JMeter, Postman, REST/SOAP APIs

Operating Systems

Windows, Unix, Red Hat, CentOS, Ubuntu, Solaris, Oracle Enterprise Linux, iOS, Android

Methodologies

Agile/Scrum, CI/CD, Microservices Architecture, Test-Driven Development, DevOps Practices

Professional Experience

Regal Rexnord

2018 - Present

AI/ML Engineering Lead / Solutions Architect

Grafton, WI

Lead cross-functional team of 4 engineers (onshore/offshore), conducting code reviews, sprint planning, and technical mentorship while aligning development activities with strategic AI/ML initiatives
Architected and deployed production LLM applications with autonomous AI agents using LangGraph and ReactJS frameworks, implementing multi-step reasoning workflows processing 10K+ queries daily with 50% faster response times and 85% task completion accuracy
Implemented RAG-powered customer support chatbot leveraging Pinecone vector database and OpenAI embeddings for enhanced semantic search, improving knowledge base query accuracy by 60% and reducing average response time from 5 minutes to 2 minutes
Developed autonomous AI agents capable of multi-step reasoning for automated workflow orchestration, integrating with internal APIs and databases for real-time decision-making in manufacturing operations
Fine-tuned Llama 2 (7B) and Mistral (7B) models using LoRA/QLoRA techniques for domain-specific manufacturing compliance and technical documentation generation, achieving 40% improvement in domain accuracy while reducing inference costs by 60% through 4-bit quantization
Built ML-powered demand forecasting system using ensemble methods (Random Forest + XGBoost + LSTM) that predicts optimal manufacturing schedules by integrating capacity constraints and lead time variables, boosting production line scheduling efficiency by 40% and reducing stockouts by 25%
Engineered enterprise ML platform with ReactJS frontend and Python FastAPI backend, enabling 50+ non-technical users to perform automated feature engineering, model training with hyperparameter tuning (Optuna), and batch predictions. Integrated MLflow for model versioning and experiment tracking
Designed and developed native mobile applications for iOS (Swift) and Android (Java) to enable secure real-time transactions against on-premises ERP systems, improving field operations efficiency by 30% and reducing data entry errors by 45%
Led Visual Compliance integration project, orchestrating REST API implementation for real-time customer screening during order entry, streamlining compliance workflows and reducing processing time by 40%
Established robust CI/CD pipelines using Jenkins and GitHub Actions for automated testing, building, and deployment of ML models and applications, reducing deployment time from days to hours

Environment: AWS (SageMaker, Lambda, S3, EC2), Azure, Python, PyTorch, Scikit-Learn, LangChain, LangGraph, HuggingFace Transformers, OpenAI/Anthropic APIs, LoRA/QLoRA, Vector Databases (Pinecone, Chroma), MLflow, Optuna, NLP, RAG, Java, ReactJS, FastAPI, Oracle, MSSQL, Databricks, Mulesoft, Redis, Docker, Kubernetes, Jenkins, Git/GitHub

Fortive

2010 - 2018

Senior Software Engineer

Everett, WA

Designed and developed integrations with third-party SaaS systems to facilitate seamless import/export of master data, ensuring data flow resilience and high availability across enterprise platforms
Provided comprehensive system support including debugging, maintenance, and issue resolution for critical production systems, maintaining 99.5% uptime and rapid incident response
Led transformation of batch processing systems into real-time microservice-based REST APIs using Spring Boot, improving data accessibility by 60% and reducing processing latency from hours to seconds
Developed Python Flask backend and ReactJS-based shipping portal for rate comparison across multiple carriers within FreightPop TMS, utilizing cx_Oracle drivers for Oracle Ship Confirm API integration and implementing Okta SSO for secure authentication
Architected and implemented REST API integrations between SciQuest SaaS procurement platform and on-premises ERP systems using Spring Boot middleware, processing 100K+ transactions monthly
Migrated critical applications to AWS cloud-native services (Lambda, RDS, S3, CloudWatch), resulting in 35% reduction in hosting costs and 15% increase in application availability through auto-scaling and multi-AZ deployment

Environment: AWS, Java/J2EE, Spring Boot, Python, Flask, JavaScript, ReactJS, PL/SQL, Oracle EBS 11i, MemCached, MySQL, SQLite, Unix Scripting, ASP.NET, SSIS, SQL Server, Git/GitHub

Empowered Solutions

2009 - 2010

Principal Software Consultant

Plano, TX

Partnered with diverse clients, such as US Steel Corporation (PA), Pacific Scientific (WA), and Danaher Motion (VA), to automate workflows, implement custom software solutions, and adapt systems to meet their unique business requirements
Leveraged expertise in Java/J2EE, Eclipse, Oracle 9i, PL/SQL, Python, Unix scripting, and a variety of development tools to deliver customized and effective solutions tailored to each client's specific needs

Previous Consulting Roles

2005 - 2009

Software Consultant

Various Locations (NY, CA, WA, NJ)

Baytree Associates (New York, NY): Spearheaded the implementation and customization of Oracle ERP-based extensions and a medical supply eCommerce website for Continuum Health Partners in Manhattan, NY
IT Convergence (San Francisco, CA): Conceptualized and executed solutions to automate daily business operations for clients including Zions National Bank (UT), Equinix (CA), New York Institute of Technology (NY), and Concur Technologies (WA)
Nettlinx Inc (New Jersey): Worked as the technical lead and SME for Procure to Pay automation projects at Beckman Coulter (CA), Cablevision (NY), and Acuity Brands (GA)
Demonstrated proficiency in Java, JavaScript, Python, Oracle, SQL Server, PL/SQL, PHP, OAF, and Workflows across diverse client engagements

Education

Bachelor of Engineering in Electronics & Communications

St. Joseph's College of Engineering

Chennai, India

Master of Science in Electrical Engineering

University of Hartford

Hartford, Connecticut

Certifications & Training

AWS Solutions Architect Associate (SAA-C03)

Amazon Web Services

Complete A.I. & Machine Learning, Data Science Bootcamp

Udemy, 2021

LLM Engineering Specialization - Generative AI, RAG & AI Agents

Udemy, 2023

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