Saurabh Chakrabarty
@saurabhchakrabarty
Principal/Lead AI Engineer specializing in scalable document intelligence and automation.
What I'm looking for
I am a Principal/Lead AI Engineer with 7+ years designing and deploying AI/ML systems focused on document intelligence, knowledge graphs, and deterministic inference. I combine startup agility and enterprise-grade engineering to build privacy-first, scalable platforms.
I've co-founded and led AI efforts to convert unstructured emails and contracts into structured knowledge graphs, architect graph+vector retrieval for compliance, and scale document pipelines to process over 1M pages. I design agentic RAG and multi-agent systems using modern orchestration frameworks.
In prior roles I built large-scale data warehouses and IoT backends, trained segmentation and table-extraction models, and reduced manual review via modular IDP workflows. My work has enabled new revenue streams and large user onboarding efforts.
I prioritize deterministic, automation-first workflows and on-prem/local inference where privacy demands it, and I deploy solutions across AWS, Azure, and GCP using a robust stack of Python, TypeScript, PyTorch, and graph/datastore technologies.
Experience
Work history, roles, and key accomplishments
Lead AI Engineer
Picard.law
Apr 2024 - Present (1 year 11 months)
Co-founded and led development of AI-first legal automation converting unstructured emails and contracts into structured knowledge graphs and scalable document pipelines processing 1M+ pages.
Principal AI Consultant
Independent Consulting
Apr 2024 - Present (1 year 11 months)
Delivered AI discovery and implementations for Legal, Finance, and Document AI automation including agentic RAG and multi-agent systems and onboarding 1500+ users for LetsAgent.ai.
Senior Data/AI Engineer
Orijin+
May 2021 - Apr 2024 (2 years 11 months)
Built large-scale data warehouse and scalable IoT backend (Go, TypeScript) on AWS, and implemented product recommendation systems to drive analytics and sales insights.
AI Engineer
Botminds AI
Jan 2020 - Apr 2021 (1 year 3 months)
Trained segmentation and table-extraction models achieving seq-to-seq accuracy >85%, built modular IDP workflows that reduced manual review time by 70%, and optimized large-scale document processing.
AI Engineer
SymphonyAI
May 2018 - Dec 2019 (1 year 7 months)
Performed R&D on hand-detection and handwriting extraction models and integrated computer-vision recognition into enterprise analytics, contributing to automation and heuristics for crossover platforms.
Research Intern
Surukam Analytics
Nov 2017 - Apr 2018 (5 months)
Researched computer vision and hand-detection algorithms for scanned legal document processing and contributed to technology that led to company acquisition.
Education
Degrees, certifications, and relevant coursework
Fergusson College (University of Pune)
Master of Science, Industrial Mathematics & Computer Applications
2015 - 2018
Grade: 3.94 (9.86/10.0)
Completed an M.Sc. in Industrial Mathematics & Computer Applications with a high GPA, focusing on applied mathematics and computational methods.
N. Wadia College (University of Pune)
Bachelor of Science, Mathematics
2012 - 2015
Grade: First class with distinction
Earned a B.Sc. in Mathematics, graduating first class with distinction and emphasis on core mathematical theory and problem solving.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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