Open to opportunities

Sushant Tripathi

@sushanttripathii

AI Engineer with experience delivering end-to-end production-ready AI agents, RAG pipelines, and LLM applications that solve real business problems.

India

Message

What I'm looking for

I’m looking for a role where I can build and deploy production-grade agentic GenAI (RAG, multi-agent systems) and reliable pipelines—focused on monitoring, automation, and real-world impact at scale.

I’m an AI Engineer specializing in Generative AI, Agentic AI, Multi-Agent Systems, and Retrieval-Augmented Generation (RAG). I’ve built production-grade AI agent workflows that process 20,000+ user interactions and improved stability with structured logging, monitoring, and failure tracking.

I develop cloud-deployed LLM applications and end-to-end multimodal pipelines, including a full-body talking avatar system with ~92% lip-sync accuracy and 94%+ frame consistency. I also automate business workflows—like an AI marketing automation system integrated with Instagram APIs—cutting manual content creation effort by 90%.

I enjoy mentoring and engineering reliable systems, having led and mentored 2 AI interns. From enterprise multi-agent RAG on AWS EC2 serving 20,000+ Telegram users to sentiment intelligence with automated Slack and email alerts, my focus is practical AI that ships and performs.

Experience

Work history, roles, and key accomplishments

AI Engineer Intern

Biz Technology

Dec 2025 - Jun 2026 (6 months)

Architected production-grade AI agent workflows handling 20,000+ user interactions, improving execution stability and reducing operational failures. Built an Instagram API–integrated marketing automation system that reduced manual content creation effort by 90%.

AI Agentic Workflow Workflow Automation Monitoring Debugging Workflow Optimization Marketing Automation Instagram APIs

AI Intern

UptoSkills

Jul 2025 - Nov 2025 (4 months)

Designed and deployed an AI pipeline for full-body talking avatar generation with approximately 92% lip-sync accuracy. Developed a voice-enabled avatar pipeline using Text-to-Speech (TTS) and FFmpeg to improve speech and lip synchronization.

Full Body Talking Avatar Generation Lip Sync Frame Consistency AI Avatar Pipelines Text to Speech (TTS)FFMPEG

Machine Learning Intern

Edunet Technologies

Oct 2024 - Dec 2024 (2 months)

Built preprocessing and feature engineering pipelines that improved classification accuracy by 30%. Implemented reproducible model training with structured experiment logging and deployed trained models into reusable pipelines for scalable experimentation.

Feature Engineering Classification Reproducible Model Training Structured Experiment Logging