CREATECOMM TECH PVT. LTD.

Built intercity food delivery platform from inception to deployment:
🔹 Architected microservices-based backend with RESTful APIs and Docker containers
🔹 Collaborated with CXO team on system design and product roadmap
🔹 Gained end-to-end SDLC ownership across the full product lifecycle
Tech Stack: React.js, Redux, Node.js, MongoDB, Microservices, Docker, Express.js

Software Engineer - Full Stack

Delivered AWS-native healthcare SaaS for prenatal care:
🔹 Architected secure AWS infrastructure - Cognito for auth, S3 for storage, IAM policies for data governance
🔹 Built responsive frontend and admin applications using React.js with TypeScript
🔹 Ensured HIPAA-aligned data handling and cross-environment integrity
Tech Stack: React.js, TypeScript, Tailwind CSS, AWS Cognito, Amazon S3

Senior Software Engineer

Project: KornFerry Advance – Professional Development SaaS Platform
🔹 Maintained and optimized enterprise SaaS platform with large dataset rendering improvements
🔹 Designed custom logging system and super admin delegation architecture
🔹 Enhanced Redis caching strategies for high-volume data queries
Tech Stack: Node.js, React.js, Express.js, Redis, MySQL, Material UI, Jest

Leading Azure and AI architecture initiatives in real estate technology - designing scalable, serverless, and multi-agent AI systems for production use.

Key Contributions:

🔹 Multi-Cloud AI Architecture: Delivered a Contract Intelligence Platform extracting risk signals from legal contracts and SOC reports using a multi-cloud AI strategy  Azure + OpenAI).
🔹 Serverless Orchestration Layer: Implemented Supervisor-pattern multi-agent routing on Azure Functions with Redis Pub/Sub, enabling real-time HITL browser automation over SSE.
🔹 RAG Pipeline for Document Generation: Architected a legal document generation system using RAG - mapping dynamic placeholders to structured knowledge bases via vector search.
🔹 Real-Time AI Voice Platform: Built a low-latency AI assistant integrating Google Gemini Live + MCP, performing HTML-to-Markdown UI analysis for proactive contextual guidance.
🔹 Multi-Agent Automation Platform: Designed a multi-agent "script factory" that autonomously analyzes web

Software Engineer III, Azure Architecture

🔹 24SkinClinic: Full-stack SaaS with Angular frontend and Python/Flask backend deployed on GCP
🔹 StatsNCharts: Designed hybrid database architecture for efficient time-series data management
🔹 Built Python ETL pipelines extracting and transforming international data (IMF) via REST APIs
Tech Stack: Python, Angular 4/7, Flask, MongoDB, MySQL, GCP

Leading Azure and AI architecture initiatives in real estate technology - designing scalable, serverless, and multi-agen

leetcode

github

Know about Venkateshwar Reddygari's work experience, education, bootcamps, certifications, and much more. Venkateshwar Reddygari