SAI KIRAN REDDY BARLAPALLY
Generative AI Engineer • Chicago, Illinois • s**************************@gmail.com • +13******545 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Generative AI Engineer with 0 years of experience designing and delivering cloud-native AI solutions on Azure. Hands-on with Azure OpenAI, LangChain, Azure Cognitive Search and FastAPI to build RAG chatbots, embeddings-based semantic search, and automated content ingestion pipelines. Skilled in provisioning Azure resources with IaC (Terraform/Bicep), implementing CI/CD, and applying security best practices (Key Vault, OAuth2) to production-ready services.
Technical Skills
Programming Languages: Python,JavaScript
Web Technologies: REST APIs
Frameworks and Libraries: FastAPI,React,LangChain
Databases: MySQL,Azure Cognitive Search,Azure Data Lake,SQL
Cloud and DevOps: Microsoft Azure,Azure OpenAI,Azure App Service,Azure Functions,Azure Blob Storage,Azure Video Indexer,Azure API Management,Azure Key Vault,Terraform,Bicep,GitHub Actions,CI,CD
Data and Analytics: Tableau,Predictive Analytics
Tools and Methodologies: GitHub,Visual Studio Code,Unit and Integration Testing,Agile
AI, NLP and Retrieval: Embeddings,Semantic Search,Retrieval-Augmented Generation RAG,Natural Language Processing,Arize model,usage monitoring
Work Experience
Osaic, Inc.
Phoenix, AZ
Software Engineer
Jan 2026 – Present
Worked at Osaic (asset management / financial services) building Azure-based AI solutions for content processing, retrieval, and secure cloud deployment.
Tech Stack: Python, FastAPI, LangChain, Azure OpenAI, Azure Cognitive Search, Azure Video Indexer, Azure Blob Storage, Azure Functions, Azure App Service, Azure API Management, Azure Key Vault, Terraform, Bicep, GitHub Actions, Arize
- Built Python FastAPI microservices integrating LangChain and Azure OpenAI to implement RAG chatbots and embeddings-based retrieval, enabling semantic search over multi-format enterprise content.
- Designed and implemented end-to-end content pipelines using Azure Video Indexer, Blob Storage, and Azure Cognitive Search to extract transcripts, enrich metadata with cognitive skillsets, and surface video insights for downstream analytics.
- Automated blob ingestion and file-processing with Python scripts and Azure Functions, improving pipeline reliability and reducing manual upload steps for multi-format document and media ingestion.
- Provisioned and managed Azure infrastructure (App Service, Functions, Cognitive Search, OpenAI, Key Vault) using Terraform and Bicep; created CI/CD pipelines in GitHub Actions to automate deployments and rollbacks.
- Conducted POC for dynamic LLM routing via Azure API Management and instrumented token-usage monitoring with Arize to evaluate cost/latency trade-offs and operationalize model selection.
- Diagnosed and resolved complex indexing and field-mapping issues in Azure Cognitive Search, tuned skillsets and indexers to improve retrieval relevance and lower query latency; followed security best practices (OAuth2, Key Vault) and added unit/integration tests.
Projects
AI-Enabled Customer Relationship Management (CRM) System
Tools Used: Python, React, Redux, SQL, Predictive Analytics, Tableau
- Designed and implemented an AI-driven CRM to automate lead management and predict churn using machine learning and rule-based logic, improving lead prioritization workflows.
- Built interactive front-end components with React and Redux for scalable state management and integrated back-end APIs to deliver personalized customer insights.
- Applied SQL and ML-assisted analysis to extract customer trends and produce Tableau dashboards that visualized sales performance and retention metrics for business stakeholders.
AI-Based Phishing Website Detection System
Tools Used: Python, Machine Learning, K-Nearest Neighbours, Feature Engineering, Web Development
- Developed a phishing URL classifier using feature extraction and K-Nearest Neighbours, achieving >90% classification accuracy in tests for real-time threat detection.
- Built a web front-end with HTML/CSS/JavaScript and a Python backend to allow real-time URL analysis and visualization of classification results.
- Implemented data pipelines and SQL-based analysis to support model training and evaluate performance across datasets.
Education
DePaul University
Master’s in Information Systems • Chicago, IL, USA • Dec 2024
Vidhya Jyothi Institute of Technology
Bachelor’s in Information Technology • Hyderabad, India • Aug 2022
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