Senior AI Engineer at Quest Lab

Led the development of advanced video understanding AI leveraging Gemini’s multimodal capabilities for real-time analysis and content summarization. Architected ComfyUI solutions for image generation, editing, and video synthesis enabling flexible multimedia workflows. Engineered complex Retrieval-Augmented Generation (RAG) systems with custom training on organizational datasets to improve semantic search and retrieval precision. Designed autonomous AI agents with enhanced prompt engineering to achieve high-quality conversational task completions. Integrated Speech-to-Text and Text-to-Speech solutions with Whisper, OpenAI, and ElevenLabs APIs to launch voice-enabled features and improve product accessibility. Built scalable AI infrastructure with CI/CD pipelines, automated monitoring, and cloud cost optimizations ensuring high reliability. Spearheaded data engineering pipelines using Azure Data Factory to enable accurate time series forecasting in livestock management applications. D

AI Research Intern at Folio3

Developed advanced computer vision models using PyTorch and OpenCV for an automated product tagging system that influenced the company’s AI strategy. Gained end-to-end experience in the machine learning workflow including data preprocessing, feature engineering, model experimentation, evaluation, and cloud-based deployment strategies. Provided technical leadership through model performance analysis and data-driven presentations, informing senior engineering decisions for ongoing AI initiatives.

Senior AI Engineer at Quest Lab (AI Startup)

Architected advanced RAG and multimodal systems; fine-tuned compact language models for targeted applications; built an end-to-end Livestock Demand Forecasting pipeline via Azure Data Factory; implemented cutting-edge video analysis with Grounding DINO and Gemini for video understanding; developed AI-powered resume scoring and automated product visualization workflows.

AI Research Intern at Folio3

Developed deep learning computer vision models with PyTorch and transformer architectures; implemented production-grade code practices and automated tagging systems; built end-to-end ML workflows and cloud deployments using MLOps best practices and containerized AI applications.

Senior AI Engineer at Quest Lab (AI Startup)

Architected a sophisticated Retrieval-Augmented Generation (RAG) system capable of understanding both explicit and implicit knowledge from multimodal data sources. Fine-tuned compact language models for targeted business applications. Built end-to-end data pipelines (including livestock demand forecasting) and advanced video analysis using Grounding DINO, along with AI-driven recruitment and generative product visualization workflows. Delivered containerized deployments with Docker and Kubernetes, achieving 99.9% uptime and faster release cycles.

Senior Voice AI Engineer at Trifusion Tech

Architected production voice agents with LiveKit achieving sub-500ms latency for real-time conversations using Deepgram STT, LLM processing, and Cartesia/Minimax/ElevenLabs TTS. Integrated NetSapiens enterprise telephony via SIP trunk and WebRTC, enabling seamless voice AI deployment at scale. Implemented observability infrastructure with OpenTelemetry and ClickHouse for real-time performance monitoring and distributed tracing across multi-cloud deployments (GCP, Azure). Developed MCP calendar integrations enabling voice agents to intelligently manage scheduling through natural conversation.

DevOps Engineer (Freelance) at Remote Contract

Designed CI/CD pipelines with GitHub Actions for microservices architecture, automating build, test, and deployment workflows. Integrated Doppler for centralized secrets management with automated rotation across multiple environments. Built Docker containerization strategy with multi-stage Dockerfiles and automated image versioning.