Kundan Atre

[email protected] 9900062514 Bangalore
LinkedIn: linkedin.com/in/kundan-atre-1586a816

PROFESSIONAL SUMMARY

Principal AI Engineer and Software Architect with 15+ years of experience building large-scale distributed systems and enterprise platforms, with strong focus on AI-driven systems, LLMs, RAG architectures, and intelligent automation. Expert in designing end-to-end AI platforms combining backend engineering, data pipelines, vector search, and LLM-powered reasoning. Proven track record of leading mission-critical systems in compliance, supply chain, and enterprise SaaS domains.

WORK EXPERIENCE

Principal Software Engineer
01/2019 - Present
E2open (Formerly Amber Road) , Bangalore
Architect and lead AI-powered Restricted Party Screening (RPS) platform handling millions of screenings
Designed semantic entity matching using embeddings, vector search, and hybrid retrieval to reduce false positives
Built scalable microservices using Spring Boot, Kafka, Redis, and Elasticsearch
Introduced AI-driven ranking and explainability layer for regulatory transparency
Mentored engineers on AI adoption and distributed systems best practices
Manager / Senior Engineer
01/2014 - 01/2019
Capgemini (Client: Cisco) , Bangalore
Led development of Cisco Collaborative Knowledge, a cloud-based SaaS platform for expert discovery and learning
Designed microservices, API orchestration, and search-driven knowledge retrieval
Acted as technical lead and individual contributor
Senior Software Engineer
01/2011 - 01/2014
LG Soft India , Bangalore
Developed LG WebOS Remote App for mobile-based TV discovery and control
Built RMS platform for remote TV firmware and software management
Senior Software Engineer
01/2010 - 01/2011
Magna Infotech , Bangalore
Developed Hotel Management System emulator using FIAS and UHLL protocols
Software Engineer
01/2009 - 01/2010
Czars Software , Bangalore
Built Czars Connect, an internal enterprise collaboration portal

EDUCATION

B.E. in Computer Science
01/2007
RGPV Bhopal

SKILLS

PROJECTS

AI-Powered Restricted Party Screening (RPS)
Technologies: embeddings, vector DB, hybrid search, LLM explanations
End-to-end AI architecture using embeddings, vector DB, hybrid search, and LLM explanations
Autonomous Multi-Agent Platform
Technologies: MCP-style agents, planning, tool invocation, workflow orchestration
MCP-style agents for planning, tool invocation, and workflow orchestration
AI-Driven Multi-Map Query Platform
Technologies: Natural-language processing, Google Maps, Mapbox, OSM
Natural-language spatial queries across Google Maps, Mapbox, and OSM

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