Nagaraj Moger

Nagaraj Moger

AI/ML Data Engineer
India
Full-time On-site

About Me

AI/ML Data Engineer with 3+ years of experience in designing, developing, and deploying machine learning solutions for business applications. Proficient in Python, SQL, Scikit-learn, TensorFlow, and PyTorch for developin…

Experience

AI Software Engineer

Itwine Technology Pvt Ltd · Bangalore, India
Oct 2022 - Dec 2025 · 3 years 3 months

<p>Developed, trained, tested, and deployed machine learning models for business applications, building scalable data pipelines processing 5M+ records daily for AI/ML products, reducing manual data preparation by 60%</p><p> Implemented AI/ML algorithms using Python and relevant frameworks including Scikit-learn, TensorFlow, and PyTorch, with comprehensive data quality validation and monitoring ensuring downstream models received trusted inputs</p><p> Worked with structured and unstructured data for data preprocessing, feature engineering, and model development, structuring data for RAG pipelines using Pinecone and Chroma vector databases</p><p> Collaborated with data engineers, developers, and business stakeholders to deliver AI-driven solutions, productionizing data flows for agentic systems with 4 production microservices handling 10K+ daily requests with 99.9% uptime</p><p> Prepared technical documentation and presented findings to technical and non-technical audiences, contributing to design discussions and code reviews using GitHub Actions and CI/CD</p><p> Optimized model performance through PostgreSQL and MongoDB query optimization, improving API response from 800ms to 210ms while supporting 3x traffic growth</p><p> Stayed updated with latest advancements in AI, ML, and Generative AI technologies, implementing prompt engineering and hallucination control mechanisms</p>

PROJECTS

Intelligent Analytics Platform – BIR

Itwine Technology pvt Ltd
Duration : 03-Oct-2022 - 31-Dec-2025

<ul><li>Engineered ETL systems processing 2M+ racing records for real-time feature engineering and predictive analytics using Python and AWS Lambda Developed ML models with LangChain-powered agents and OpenAI embeddings, implementing semantic search and reducing inference latency by 45% through optimized orchestration </li><li>Implemented vector database-backed search using Pinecone for dynamic calculations and trend analysis, enabling intelligent product recommendations</li><li> Deployed on AWS Lambda and API Gateway with auto-scaling capabilities, achieving 99.8% uptime during peak traffic seasons</li></ul>

Gaming Platform – Champions

Itwine Technology pvt Ltd
Duration : 25-Sep-2024 - 18-Dec-2025

<ul><li>Built data pipelines using Python and NLP libraries with secure validations and debugging workflows for regulated environment compliance </li><li>Improved platform reliability by 25% through automated log analysis and real-time anomaly detection in game sessions </li><li>Integrated fine-tuned BERT model for intent classification, boosting accuracy from 78% to 93% through model optimization </li><li>Reduced user-reported issues by 30% with automated debugging pipelines and session replay analytics</li></ul>

E-Commerce Platform – KSIC

Itwine Technology pvt Ltd
Duration : 15-May-2024 - 20-Aug-2025

<ul><li>Built data pipelines for intelligent platform handling 500+ daily transactions with JWT authentication and intelligent product search </li><li>Implemented recommendation system using OpenAI embeddings and collaborative filtering, improving conversion rates by 15% through evidence-based iteration </li><li>Designed vector-based product similarity engine in Pinecone, reducing search response time from 900ms to 180ms </li><li>Deployed microservices on AWS EC2 with auto-scaling and Redis caching to handle flash sale traffic spikes ensuring production reliability</li></ul>

UpSkhill Educational Platform

Itwine Technology pvt Ltd
Duration : 03-Jan-2023 - 08-Apr-2025

<ul><li>Developed scalable microservices onboarding 8K+ learners with semantic search using vector databases and OpenAI APIs for enhanced information retrieval </li><li>Designed feature stores and data pipelines for personalized content recommendation, increasing average session duration by 30% </li><li>Integrated RAG-based Q&A systems answering learner queries instantly, reducing support tickets by 40% through effective document processing</li><li>Containerized services with Docker and automated CI/CD pipelines via GitHub Actions for zero-downtime deployments</li></ul>

Skills

Machine Learning Deep Learning Generative AI LLMs NLP Prompt Engineering RAG Feature Engineering Predictive Modeling Statistics Data Science Scikit-learn TensorFlow PyTorch Keras LangChain OpenAI APIs BERT Transformers Python SQL Java PostgreSQL MongoDB Cassandra MySQL AWS EC2 S3 Lambda Bedrock API Gateway Docker CI/CD GitHub Actions MLOps Microservices REST APIs Data Pipelines ETL/ELT Feature Stores Spark Databricks Data Preprocessing Data Quality Data Validation Data Modeling Query Optimization Model Deployment Model Monitoring
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