Senior GenAI Engineer
Meet R is a Senior GenAI Engineer with over 8 years of experience in delivering production-grade AI and ML systems across domains like NLP, time series forecasting, speech recognition, and satellite imagery. With a solid foundation in algorithm development and full-stack deployment, Meet brings a rare mix of ML expertise, backend engineering, and cloud-native deployment.
Julia
3 years
Developed scalable Transformer-based models for forecasting multiple time series across distributed systems. Integrated HDBSCAN clustering to extract actionable geo-spatial patterns from location-tagged data. Ensured robust experimentation and reproducibility using MLflow to track model versions and performance metrics.
Built a real-time STT pipeline using OpenAI Whisper for accurate transcription. Fine-tuned BERT models to extract products and commands with 90% accuracy using a hybrid of ML and regex. Deployed the solution as Dockerized FastAPI microservices for scalable and modular integration.
Built a scalable multi-tenant AI chatbot platform for real-time Q&A across recruitment channels. Integrated omnichannel support through Slack, WhatsApp, Telegram, and Facebook. Used OpenAI and Vertex AI with Retrieval-Augmented Generation (RAG) on VectorDB to provide context-aware responses.
Computer Engineering College
Bachelor of Engineering
AWS Certified Cloud Practitioner
Azure Data Scientist Associate
Delivered multiple client-facing AI projects
Recognized for delivering high-accuracy NLP pipelines and production-ready forecasting systems

Meet was instrumental in modernizing our AI stack. His guidance on scalable deployment and model optimization saved us months of effort.

We trusted Meet with our vision, and he delivered beyond expectations. His ability to translate business goals into real AI impact is unmatched.

What stood out was Meet’s balance of innovation and practicality. He built cool models and solutions that actually solved our toughest challenges.

Meet has an exceptional grasp of AI systems and made complex architectures feel simple. He turned our fragmented AI efforts into a unified, high-performing pipeline.