Sneha Nathani
@snehanathani
I build observable, real-time LLM and document intelligence systems for regulated production environments.
What I'm looking for
I've built production document intelligence systems for MeasureOne, reaching 97% extraction accuracy across heterogeneous financial documents and reducing manual KYC review by 65%.
At SJULTRA, I improved throughput by 30% through Kafka-driven microservices and LLM inference layers, while reducing compliance review time by 60% with auditable regulatory document automation. My work spans Python, Node.js, AWS Textract, Kubernetes, Kafka, MongoDB, and end-to-end observability with Grafana and Datadog.
Before AI architecture, I led concurrent logistics and marketing-platform engagements at SS Shipping and Ekshot. I reduced customs processing time by 60%, built real-time fleet and shipment pipelines, improved campaign efficiency by 40%, and increased user acquisition by 25% through growth automation integrations.
Across 18+ years, including enterprise engineering for MasterCard and IBM, I've designed backend, data, compliance, and distributed systems for high-stakes environments. I build AI systems to be observable, monitored, and fault-tolerant from day one.
Experience
Work history, roles, and key accomplishments
Independent Consultant
Self Employed
Jan 2025 - Present (1 year 7 months)
Provided consulting on predictive financial data pipelines and LLM observability dashboards for document intelligence clients.
Lead AI Engineer
MeasureOne Inc.
Jan 2024 - Dec 2025 (1 year 11 months)
Led development of document intelligence pipelines achieving 97% extraction accuracy and reducing manual KYC review by 65% in regulated fintech environments.
Lead Engineer
SJULTRA Inc.
Jan 2023 - Dec 2024 (1 year 11 months)
Improved throughput by 30% through event-driven microservices with Kafka and LLM inference layers, and reduced compliance review time by 60% via LLM-based automation.
Lead Developer
Ekshot Advertcom Pvt Ltd
Jan 2021 - Dec 2023 (2 years 11 months)
Developed a multi-tenant marketing platform with automated campaign analytics and real-time Kafka pipelines, improving campaign efficiency by 40% and user acquisition by 25%.
Lead Developer
SS Shipping Pvt Ltd
Jan 2017 - Dec 2022 (5 years 11 months)
Automated end-to-end documentation and shipment workflows, reducing customs processing time by 60% and implementing real-time fleet tracking with predictive maintenance.
Developed backend modules for card upgrade and migration systems at MasterCard, reducing code duplication by 30% and deploying on IBM WebSphere clusters.
Engaged in enterprise backend engineering and compliance systems development.
Contributed to enterprise backend engineering, ETL pipelines, and distributed data processing across financial services and logistics domains.
Senior Developer
UTV
Jan 2007 - Dec 2015 (8 years 11 months)
Worked on enterprise backend engineering and distributed data processing in media domain.
Senior Developer
Global Eagle
Jan 2007 - Dec 2015 (8 years 11 months)
Worked on enterprise backend engineering and distributed data processing in media and logistics domains.
Senior Developer
JNEC
Jan 2007 - Dec 2015 (8 years 11 months)
Contributed to enterprise backend engineering and distributed data processing.
Education
Degrees, certifications, and relevant coursework
JNEC
Bachelor of Engineering, Computer Science
2007 -
Grade: First Class with Distinction
Completed Bachelor of Engineering in Computer Science with First Class with Distinction.
Availability
Location
Authorized to work in
Portfolio
github.com/snehanathaniJob categories
Skills
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