Currently developing a generative AI compliance-review platform processing 8,000+ documents monthly using Azure OpenAI, hybrid rule-LLM architectures, and async multi-threading. Previously built an ML model driving 4,000+ annual IT infrastructure decisions and ETL pipelines integrating 85+ enterprise systems. Also ships full-stack agentic applications end to end.
Open to opportunities
Shubh Pathak
@shubhpathak
AI Engineer at UBS with 2+ years building production ML pipelines, LLM systems, and multi-agent applications for Investment Banking.
IndiaExperience
Work history, roles, and key accomplishments
UB
Current
Led development of a generative AI compliance platform that cut manual review workload by 85%, saving 200+ hours monthly and processing 8,000+ documents. Reduced API calls by 67% and token cost by 45% via contextual routing, and engineered async multi-threading to slash pipeline latency by 70%.
UB
Streamlined approval decisions for 4,000+ IT infrastructure tickets annually by engineering a predictive ML model on historical server utilization data. Slashed hardware approval cycles from 14 days to under 3 days by integrating telemetry from 85+ systems and deploying rule-based logic in PostgreSQL.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science
2020 - 2024
Grade: 8.70/10.00
Pursued a Bachelor of Technology in Computer Science, achieving a GPA of 8.70/10.00.
Tech stack
Software and tools used professionally
Availability
Open to opportunities
Location
IndiaAuthorized to work in
Website
shubh0614.github.io/ShubhOSPortfolio
shubh0614.github.io/ShubhOSSalary expectations
2200k-2500k INR
Social media
Job categories
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