Headline

AI / ML Architect | LLMs · RAG · Agentic AI · MLOps | MLOps Book Author | Open to Remote — EU & US

About

Most AI projects fail not because the models are wrong - but because the systems around them weren't built to last. That's the problem I solve. AI/ML Architect with 7+ years designing production-grade systems across LLMs, RAG pipelines, Agentic AI, and MLOps - deployed on AWS and GCP at real-world scale. Author of "Ultimate MLOps for Machine Learning Models" · Published IEEE Researcher What I bring: • LLM systems in production — RAG, NL-to-SQL, Agentic workflows, LLMOps • End-to-end ML architecture — pipelines, model registries, CI/CD, drift monitoring • Business impact — AI systems delivering multi-million dollar efficiency gains • Cross-functional — translating business problems into architecture decisions. Open to AI Architect roles across Pune (hybrid), remote Indian product companies, and remote opportunities with EU & US companies — wherever AI is core to the product, not a side project. 📩 Let's connect: sdd[dot]saurabhd[at]gmail[dot]com

Location

Pune Division

Work experience

Deputy Manager (Data Science) at Vodafone, Apr 2024 - Present · 2 yrs 2 mos, Pune, Maharashtra, India · Hybrid, - Developing GenAI solutions to reduce support costs. - Leading development of ML solutions to help optimize roaming business.

Assistant Manager (Machine Learning) at Vodafone, Mar 2022 - Mar 2024 · 2 yrs 1 mo, Pune, Maharashtra, India · Hybrid, - End-to-End development of data intensive solutions to optimise cost of telecom roaming. - Optimisation of ML models for multiple use cases. - Automating MLOps pipelines. - Development of use cases involving time series forecasting, clustering and classification.

Author at AVA™ - An Orange Education Label, Dec 2023 - Oct 2024 · 11 mos, Author for book "Ultimate MLOps for Machine Learning models"

Senior Data Scientist at NextBee, Dec 2019 - Feb 2022 · 2 yrs 3 mos, Pune, Maharashtra, India, - Developed end-to-end intelligent data solutions for multiple use cases including customer segmentation, churn prediction, and forecasting. - Implemented best MLOps practices to automate data and model scaling, ensuring efficient and scalable operations. - Provided actionable insights to stakeholders, enabling them to make data-driven decisions and take suggested actions. - Achieved a significant 34% increase in user engagement and improved user retention by leveraging insights derived from data analysis. - Created compelling visualizations to effectively communicate insights and facilitate decision-making processes.

Technical Reviewer at Packt, May 2019 - Dec 2019 · 8 mos, Remote, Provided a technical review with high focus on quality of content to ensure technical accuracy, correct logical flow, error-free code. Done technical review for the coursework 'Masters Interactive Data Visualization with Python'.

Data Science Consultant at Freelance, Nov 2018 - Dec 2019 · 1 yr 2 mos, Remote, - Provided solutions based on data to increase user engagement for movie broadcast channels. - Worked on various projects based on Natural Language Processing(Sentiment analysis, Topic modelling), Predictive analysis, Audio-video analysis.

Education

Master's degree, Computer Engineering, Maharashtra Institute of Technology