I am a Software & AI/ML Engineer specializing in building scalable backend infrastructure, real-time automation tools, and multi-modal Generative AI pipelines. My work focuses on architecting production-ready enterprise systems, handling everything from high-throughput event processing to custom ML lifecycle management.

• Languages: Python (Proficient), JavaScript, Java, SQL
• AI/ML & Vision:** Generative AI, RAG, Transformers, Diffusion Models, Computer Vision (YOLOv8, Mask R-CNN, OpenCV)
• Backend & Infra: FastAPI, Asynchronous I/O, WebSocket Streaming, Distributed Queues (Inngest, GCP Pub/Sub), Docker
• Data Engineering: Automated Scraping Pipelines (Playwright), Context-Window Memory Managers, Telemetry

An automated video processing pipeline that leverages OpenAI Whisper and Google Gemini to slice long-form video content into short, contextually optimized, interactive viral clips.

An autonomous agentic system designed for real-time security analysis and telemetry threat intelligence processing.

An intelligent, context-aware email processing and automation agent built to handle complex routing workflows.

• Enterprise AI Infrastructure: Architected a production FastAPI backend featuring WebSocket streaming, an agnostic LLM router (OpenAI/Anthropic), and custom sliding-window context memory management.
• Distributed Event Processing: Built asynchronous event-driven background queues via Inngest for heavy vision tasks and telemetry processing using GCP Pub/Sub.
• Custom ML Lifecycles: Trained and deployed a proprietary, diffusion-based Lip-Sync model utilizing custom audio-visual datasets from data preprocessing to inference.
• Resilient Data Pipelines: Engineered high-throughput automation and scraping pipelines (Playwright) capable of bypassing advanced CAPTCHAs.

• LinkedIn: linkedin.com/in/081rishabh
• Email: rishu081.ai@gmail.com