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AI Engineer with 2+ years in Generative AI & Agentic Systems
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Assessing your cultural and operational fit
AI Engineer with 3 years of experience in software development and enterprise automation. Specialized in Generative AI, Agentic AI Systems, Retrieval-Augmented Generation (RAG), Multi-Agent Architectures, and LLM-powered applications. Experienced in building scalable AI solutions using LangGraph, LangChain, FastAPI, Vector Databases, and modern LLM ecosystems.
Graphic Era Hill University
B. TECH (CSE) · Computer Science Engineering
August 1, 2019 – June 30, 2023
ICSE BOARD
Intermediate
N/A – May 31, 2019
ICSE BOARD
High school
N/A – May 31, 2017
Auriss Technologies
Software Engineer
July 1, 2023 – Present
India
AI Compliance Copilot
July 1, 2023 – Present
Developed a Multi-Agent Compliance Intelligence Platform for automated compliance analysis, risk assessment, and audit readiness. Built domain-specific AI agents and LangGraph workflows for intelligent routing, orchestration, and decision-making. Implemented RAG pipelines, Human-in-the-Loop approvals, and LangSmith observability for enterprise AI governance.
Conversational Intelligence & Customer Success Copilot
July 1, 2023 – Present
Developed a multi-agent conversational intelligence platform for sentiment analysis, risk detection, and customer success optimization. Built AI agents and LLM-powered workflows to analyze support tickets, emails, chats, and call transcripts. Generated executive summaries, customer health insights, and actionable recommendations using RAG and AI-driven reasoning
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical, business-oriented AI solutions (compliance, customer success), which aligns with a results-driven culture. The breadth of technical skills, from AI/ML to backend and cloud, suggests adaptability and a willingness to learn diverse technologies. The single professional experience at Auriss Technologies indicates a focused career path, but also a potential for less exposure to varied organizational cultures. The AWS Cloud Practitioner certification shows initiative for continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights experience in collaborating with stakeholders to translate regulatory requirements into technical solutions, indicating good communication and problem-solving skills in a professional context. The project descriptions suggest an ability to work on complex, multi-faceted AI systems, implying strong operational fit for roles requiring end-to-end solution development.