Headline

Software Engineer @ Dassault Systèmes | RAG Agents · LangGraph · Java · Microservices · REST APIs | EIE’25 @ NIT Rourkela ’25

About

Backend Software Engineer with production experience building distributed systems and AI-powered services at Dassault Systèmes. I ship things that run at scale — not side projects, actual enterprise infrastructure. At Dassault, I architected a RAG-based AI agent with optimized vector embeddings for enterprise knowledge-base search, integrated EXALEAD search into the 3DSupport platform achieving sub-100ms query response times, and re-engineered a legacy Knowledge Base module to sustain 99.4% uptime SLA. I also built a semantic CV screening system from scratch at an internal hackathon — using NLP and ML to parse multi-format resumes and rank candidates against JDs, cutting manual recruiter effort significantly. My stack: Java, Python, C++, TypeScript, REST APIs, microservices, Docker, PostgreSQL, MongoDB. I've worked with RAG pipelines, vector embeddings, LSTM-based forecasting, and semantic NLP — applied to real production systems, not toy demos. Outside work: I've built a full-stack AI mock-interview platform (Next.js + Gemini API) with 100+ active sessions, an LSTM stock prediction model with attention mechanisms, and a bandwidth-allocation algorithm for elastic optical networks with an 80% optimal-assignment success rate. I'm looking for roles in Software Development, AI/ML Engineering, or Site Reliability Engineering where I can build systems that are fast, fault-tolerant, and intelligent.

Location

Raurkela

AI stack

cursor

opencode

Work experience

Associate Software Engineer at Dassault Systemes Solutions Lab, Jul 2025 - Present · 1 yr 2 mos, -Architected a production RAG agent with optimized vector embeddings for enterprise knowledge-base querying; improved contextual AI response accuracy and content discoverability at scale across internal platforms. -Integrated EXALEAD search into the 3DSupport platform via REST APIs; achieved sub-100ms response times on complex multi-parameter queries, directly improving end-user experience for enterprise customers. -Re-architected a legacy Knowledge Base module to eliminate critical performance bottlenecks; maintained 99.4% uptime SLA and implemented CAS SSO to unify authentication across the microservices ecosystem. -Engineered an AI-powered CV Screening & Ranking system at an internal hackathon using semantic NLP and ML; parsed multi-format resumes, computed candidate-JD similarity scores, and delivered ranked shortlists — significantly reducing recruiter screening effort.

Software Engineer Intern at Dassault Systemes Solutions Lab, Jan 2025 - Jun 2025 · 6 mos

Software Programmer at Code Red - NIT Rourkela, Apr 2022 - Dec 2022 · 9 mos, Raurkela

Education

Electronics and Instrumentation Engineering, Engineering, National Institute of Technology Rourkela

Class 12 (ISC), Science, St. Paul's School, Rourkela

Public links

github: https://github.com/LeoParadox10