Ojasvi Sancheti
Senior Machine Learning Engineer @Cgg
Signup · Get unlimited contacts
WORK HISTORY
Senior Machine Learning Engineer @Cgg
Crawley, GB
As a Senior Machine Learning Engineer, I lead the research, development, and deployment of advanced deep learning models. My role combines hands-on model development with strategic collaboration—designing and delivering tailored ML solutions in close partnership with stakeholders to solve complex, real-world problems in the geoscience domain.I focus on building scalable, high-performance models, rigorously evaluating their performance, and deploying them into production using Kubernetes and cloud platforms (AWS). Post-deployment, I continuously monitor and optimize systems for reliability, latency, and efficiency.Key WorkAI-Powered Report Generation – Designed and deployed intelligent report-writing agents and chatbots using GenAI with Retrieval-Augmented Generation (RAG), GraphRAG, Model Context Protocol (MCP), SQL integration, and LangChain for automated geological reporting and knowledge interaction.Multimodal LLM Fine-tuning – Fine-tuned multimodal LLMs using LoRA and LLaMA Factory, enhancing domain-specific semantic understanding and improving image-text embeddings, classification, Q&A, and retrieval performance across geoscience workflows.Document Digitization System – Built and deployed a large-scale document digitization pipeline by fine-tuning models such as BERT, SAM, and VIT models, containerizing with Docker and orchestrating via Kubernetes for production-grade scalability.End-to-End Deep Learning Pipelines – Engineered a robust deep learning pipeline in PyTorch for 2D/3D datasets, streamlining data preprocessing, training, and evaluation to boost adaptability and efficiency.Geological Feature Detection – Deployed state-of-the-art object detection and segmentation models (UNET3D, ViT) on 3D seismic data, achieving high accuracy in geological feature recognition.I thrive at the intersection of research, software engineering, and production, delivering machine learning systems that are both innovative and impactful at scale.
EDUCATION
Rashtrasant Tukadoji Maharaj Nagpur University
Bachelor's degree, Electrical and Electronics Engineering
The University of Edinburgh
Master's degree, Artificial Intelligence
Shri Ramdeobaba Kamla Nehru Engineering College, Katol Road
Master's degree, VLSI and Embedded
ABOUT OJASVI SANCHETI
Strategic Senior Machine Learning Engineer with a Distinction-level Master\'s in AI and over 7+ years of experience delivering high-impact ML solutions from concept to production. I specialize in architecting and deploying scalable systems across Computer Vision, NLP, state-of-the-art Generative AI (LLMs, RAG, Multimodal Models, LLM fine-tuning), and intelligent agent-based systems. A proven leader in driving best practices in CI/CD, model monitoring, and cloud-native deployment (AWS, Kubernetes) to solve critical business challenges. Passionate about mentoring teams and translating complex technical capabilities into tangible business value.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.