Open to opportunities

Venkatakrishnan S User

@venkatakrishnansuser

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AI engineer building real-time video analytics and voice-driven workflows.

India

Message

What I'm looking for

I’m looking for an entry role where I can build real-time computer-vision analytics and LLM/voice-driven workflows—shipping reliable end-to-end prototypes, learning from strong ML engineering teams, and growing into an AI engineer.

I’m an AI-focused technologist who builds practical systems that turn video, text, and voice into reliable, usable intelligence. I’ve developed real-time multi-camera analytics for people and vehicles and designed zone-based alerts for concurrent video streams.

I also work on hands-free, LLM-powered workflows for real-world data entry—such as converting spoken information into correctly mapped medical form fields. In addition, I’ve built an agentic RAG system for context-aware retrieval, summarization, and direct responses using tool-calling workflows.

Beyond deployment, I enjoy end-to-end engineering across data pipelines and ML modeling, including an explainable heterogeneous GNN for drug repurposing. I’m currently strengthening my cloud and ML foundations through Oracle Cloud Infrastructure certifications.

Experience

Work history, roles, and key accomplishments

AI Intern

Sankara Eye Hospital

May 2025 - Dec 2025 (7 months)

Developed a real-time multi-camera analytics system using NVIDIA DeepStream for entry/exit counting and zone-based alerts across five concurrent video streams. Designed a prototype voice-controlled workflow to convert spoken input into correct medical form fields, reducing manual data entry and transcription errors.

Nvidia DeepStream Entry Exit Counting Zone Based Alerts Computer Vision Real Time Analytics Speech to Text NLP

Surveillance Technician

Codessia Trade Fair Complex

Aug 2025 - Oct 2025 (2 months)

Built a real-time multi-camera analytics system for large public events to count people and vehicles across concurrent streams, achieving 90% detection accuracy versus manual counts. Automated daily reporting with detailed insights via a live dashboard and deployed the system across multiple TN Startup Summit 2025-related events.

Computer Vision Data Insights