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AI Engineer with 4+ years in LLM applications & Cloud-native platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 4+ years of experience architecting production-grade LLM applications, AI orchestration systems, internal productivity tools, and cloud-native backend platforms. Specialized in LangChain, LangGraph, FastAPI, React.js, RAG pipelines, vector databases, and AWS infrastructure. Proven track record of leading engineering teams, owning end-to-end AI system delivery, and building scalable full-stack AI products for SaaS and fintech platforms.
IIT Bhilai
Executive M.Tech · Artificial Intelligence
August 1, 2025 – June 30, 2027
BIT Durg
Bachelor of Technology · Computer Science
August 1, 2017 – June 30, 2021
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Cultural Fit Analysis
The candidate's experience spans SaaS, fintech, and remote proctoring domains, showcasing adaptability to different industry contexts. Their involvement in leading teams and end-to-end project ownership aligns well with a proactive and ownership-driven culture. The breadth of technologies and methodologies used (LLMs, CV, MLOps, full-stack) indicates a continuous learning mindset and a willingness to tackle diverse technical challenges, which is a strong cultural fit for innovative AI roles.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership skills through their role as a founding engineering member leading a team. Their experience collaborating with product managers and cross-functional stakeholders suggests good communication and teamwork abilities. The diverse project portfolio implies adaptability and problem-solving skills, crucial for operational fit in dynamic environments.