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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