About Me
GenAI Engineer | AI Systems Architect | Applied AI Researcher
Surya Narayana Siddamurthi
I build production-grade AI systems that combine Large Language Models, Voice AI, Retrieval-Augmented Generation (RAG), Agentic Workflows, and Enterprise Infrastructure.
My expertise spans the complete AI stack—from designing FastAPI backends and real-time communication systems to deploying multi-agent architectures powered by modern LLMs. I specialize in building AI-powered customer support platforms, voice automation systems, enterprise knowledge assistants, and intelligent agent ecosystems.
The Mission
“Building AI systems that move beyond simple chatbots—creating autonomous, reliable, and scalable AI agents capable of solving real business problems at enterprise scale.”
What I Do
Current Focus Areas
Experience
3+ years of building production AI systems — from computer vision pipelines to enterprise-grade agentic platforms.
Developed AI SaaS platforms including personalized learning, customer support, social media management, content generation, and AI call center solutions.
- Developed AI SaaS platforms including personalized learning, customer support, and AI call center solutions using Python, FastAPI, and LLMs
- Built a personalized learning platform with an AI tutor, quiz generator, lesson planner, and notes generator
- Designed a multi-channel AI customer support system that automated 70%+ of routine customer queries
- Designed and implemented central SSO solution for 6 applications, enabling seamless cross-platform access
- Led and mentored a team of 7 engineers, driving projects from development to production
Implemented computer vision techniques for identity verification and developed deep learning models for behavior monitoring during interviews.
- Implemented computer vision techniques achieving 98% accuracy in identity verification to ensure interview integrity
- Developed deep learning models for facial emotion detection and head pose estimation, improving behavior monitoring by 40%
- Integrated Speech-to-Text (STT) and Text-to-Speech (TTS) models for real-time analysis of interview responses
- Developed a dynamic question generation system using LLMs based on candidate performance
- Designed face authentication, Firebase backend, and LLM text generation for a social media AI app
Academic Background
A strong foundation in AI, mathematics, and science built through formal education.
Bachelor of Technology
AI & Data Science (AI&DS)
Intermediate (MPC)
Mathematics, Physics & Chemistry
10th Class (SSC)
Secondary School Certificate
Technical Arsenal
An interactive visualization of my backend architecture, Generative AI engineering, and distributed systems.
Programming Languages
Core coding languages for algorithms and analysis
Generative AI Technologies
Architectures, agent templates and models contextual setups
Backend Development
Robust services, microservices and APIs integrations
Databases & Storage
Relational, document, caching and multi-dim storage solutions
AI Orchestration
Frameworks for LLM processing pipelines and flows control
Messaging & Async Processing
Asynchronous task workers and brokers structures
Authentication & Security
Identity and session federation and access control
Cloud & DevOps
Virtualization, infrastructure configurations and actions
Version Control
Source files storage layers and repositories control
Selected Works
A curated showcase of applications built across Generative AI, Conversational Systems, and Cloud Machine Learning Infrastructure.
Multilindo Image Craft
Multi-lingual Image Generation PlatformDeveloped a specialized multi-lingual text-to-image generator. Curated training datasets, fine-tuned the SDXL model, and deployed on Hugging Face spaces to public acclaim.
Voice AI Automation Platform
Autonomous Voice Interaction AgentBuilt an AI-powered real-time voice system managing inbound and outbound calls. Automates customer conversation pipelines, collects form data, and routes support tickets.
AI Tutoring Platform
GenAI-Powered Learning EcosystemDeveloped a GenAI education portal featuring an intelligent student tutor, automated quiz generation, lesson planners, and dynamic visual study material generators.
Multi-Channel Support
Omnichannel Support State MachineDesigned a support platform integrating Web, WhatsApp, and Email. Automates resolution via contextual RAG and orchestrates seamless human-agent handoffs.
AI Music Streamer
Infinite Generative YouTube BroadcastCreated an automated AI pipeline that generates continuous, royalty-free ambient music tracks and streams the audio output directly to YouTube 24/7.
Certifications
Continuous learning in AI, backend architecture, and cloud infrastructure.
Get In Touch
Open to full-time roles, freelance projects, and AI consulting. Let's build something remarkable together.
Developing robust, clean, and type-safe frontend and backend codebases.