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AI Engineer with 2+ years in Machine Learning, LLMs & Agentic AI
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Assessing your cultural and operational fit
AI & ML Engineer with 2+ year of experience building enterprise-grade AI applications using Machine Learning, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG). Skilled in designing scalable REST APIs, cloud-native deployments, and end-to-end AI pipelines. Strong at translating business requirements into reliable, production-ready AI solutions.
Arul Anandar College
Master of Computer Applications (Computer Science) · Computer Science
August 1, 2022 – June 30, 2024
The American College
Bachelor of Science in Computer Science · Computer Science
August 1, 2019 – June 30, 2022
Zeb (Avasoft)
AI and ML Engineer
May 1, 2024 – Present
Chennai, Tamil Nadu, India
Data Classification Agent using RAG & Agentic AI
June 1, 2026 – June 1, 2026
Developed an intelligent Data Classification Agent leveraging Agentic AI and Retrieval-Augmented Generation (RAG) to automatically identify and classify enterprise data into Critical Data Elements (CDE), Personally Identifiable Information (PII), and non-sensitive data.
CRM Email Intelligence API
June 1, 2026 – June 1, 2026
Built an AI-powered backend with Bedrock Data Automation to fetch, parse, and extract structured data from emails and attachments. Automatically maps content to CRM fields and updates in real time. Leveraged AI/ML for context-aware parsing to minimize manual input and improve data accuracy.
Smart Tour Planner AI API
June 1, 2026 – June 1, 2026
Designed and deployed an AI backend API using Hugging Face models to generate personalized travel and ride plans. Itineraries are tailored to user preferences with optimized timings, locations, weather, and routes. Integrated with frontend platforms using natural language understanding for context-aware planning.
Google IT Automation with Python
June 1, 2026 – Present
Data Structures and Algorithms (Self-Paced)
GeeksforGeeks
June 1, 2026 – Present
Microsoft Cybersecurity (Self-Paced)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (data classification, CRM intelligence, tour planning) and the breadth of technologies listed (Python, AWS, various databases, ML frameworks) suggest an adaptable individual open to different problem domains. The current role as an AI and ML Engineer at Zeb (Avasoft) directly aligns with the target AI Engineer role, indicating a clear career path and interest. The certifications also show a proactive approach to learning and skill development, which generally contributes positively to cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on end-to-end ML pipelines and deploying intelligent applications, suggesting a results-oriented approach. The project descriptions imply problem-solving skills and an ability to translate business requirements into AI solutions. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, communication style, or adaptability in a collaborative operational environment.