Praveena Raju

Built a high-performance RAG system with LangChain, Weaviate, and GPT-4, leveraging semantic chunking, hybrid search
(BM25 + semantic), and intelligent reranking to deliver instant, accurate retrieval from 100+ authority documents, cutting
AOR dependency and submission rejections.
Delivered scalable, production-grade AI systems via FastAPI with enterprise integration, leveraging LangSmith for end-to
end observability, tracing, and operational reliability.
Engineered advanced autonomous AI agents with LangGraph for BIM operations, integrating ACC APIs, persistent
conversation memory, and human-in-the-loop approvals to automate workfows, enabling BIM Leads to focus on strategic,
high-value decisions.
Developed LLM-powered workfows to extract meeting summaries, action items, and attendees, coupled with a user
interface for quick edits and downloads, reducing engineer MoM preparation from 1 hour to 5 minutes.
Designed and deployed domain-specifc AI agents (HR, Projects, RFPs, Business, BIM) to automate diverse business
processes, reducing manual overhead and streamlining cross-department operations.
Engineered end-to-end data extraction pipelines using Python and Gemini API, transforming unstructured PDFs and CAD
fles into structured formats.
Confgured CI/CD pipelines with GitHub Actions for AI deployments, ensuring seamless testing, version control, and
maintainable system architecture.
Created PowerBI dashboards to track business performance, authority submissions, and BIM processes (ACC issues,
reviews, clash detections), empowering teams with data-driven decision-making insights.

Led Ignio AIOps - award wining AI powered SaaS platform, implementing AI-driven IT operations to automate end-to-end
workfows and resolve incidents via intelligent automation, achieving a 90% reduction in MTTR through root-cause analysis.
Led Agile team (5-6 members), managing project reporting, technical support, development, testing, code reviews,
internal/client demos, and production deployment of automation use cases within CRQ windows.
Utilized OOP principles, design patterns, and modular programming to build clean, maintainable, and reusable code.
Engineered Python automation using Pandas & NumPy to transform, manipulate, and generate reports from various data
sources, automating complex operational tasks.
Designed and optimized databases (PostgresSQL and MsSQL) resulting in enhanced query performance, scalability,
system responsiveness and efcient data integrity.
Developed system integration solutions by extensively working with REST APIs and GraphQL to extract, process, and
integrate data across platforms.
Automated 30+ usecases in ITOps, AppOps, and SecOps using scripting languages such as Bash, PowerShell, and Python
automates task such as user management in Active Directory/ Azure Entra ID, DB operations, running bash scripts,
analyzing log fles, and performing system health checks to streamline operations.
Implemented CI/CD pipelines and maintained comprehensive documentation, ensuring seamless deployments and
knowledge transfer.

Optimized big data processing on Amazon EMR, reducing runtime from 4 hours to 30 minutes (87.5% reduction) through
efcient resource allocation and Python script optimization.
Engineered event-driven serverless architectures using AWS Lambda and CloudWatch Events, initiating EC2 instances only
on-demand via specifc triggers, achieving signifcant cost savings.
Implemented robust data security in Amazon S3, enforcing granular IAM access policies and server-side/client-side
encryption for PII data, ensuring compliance with security standards.
Automated complex workfows using AWS CloudWatch & Lambda, orchestrating EC2, EMR clusters, and secure S3 data
transfers (including PII decryption/processing) with systematic encrypted result storage.
Architected secure EC2 infrastructure, provisioning instances and confguring security groups (inbound/outbound rules) to
ensure compliant network communication.
Developed real-time monitoring with Amazon SNS, enhancing operational responsiveness through immediate notifcations.
Managed AWS IAM security, creating users/groups/roles and applying granular permissions to secure resources according
to organizational policies