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AI Engineer with 1+ years in LLM-powered applications & agentic RAG pipelines
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GenAI Engineer with 1 year of production experience designing and deploying LLM-powered applications, agentic RAG pipelines, and workflow automation systems. Reduced data processing time by 40% and improved UI performance by 30% at WillWare Technologies. Proficient in LangChain, LangGraph, FastAPI, and multi-agent orchestration. Seeking a Junior AI Engineer role to build and ship production-grade generative AI systems at scale.
Karpagam Institute of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2019 – June 30, 2023
WillWare Technologies
Software Developer
May 1, 2024 – Present
India
CompareMind AI - Agentic E-commerce Intelligence System
January 1, 2023 – December 31, 2023
Developed a multi-agent system using LangGraph with tool orchestration and memory-driven querying to autonomously aggregate and compare product data across e-commerce platforms. Implemented function calling and structured output parsing to extract product attributes (price, specifications, reviews) from unstructured data, achieving over 90% field accuracy. Designed agent memory with context-aware conversation history, enabling multi-turn product comparisons without redundant data fetching.
MiniNotebook LLM – RAG Knowledge Assistant
January 1, 2023 – December 31, 2023
Built a production-grade retrieval-augmented generation pipeline with recursive chunking, vector embeddings (ChromaDB), and answer synthesis for contextual document querying. Enhanced retrieval precision using re-ranking and hybrid semantic search, reducing irrelevant context retrieval by 40% compared to naive similarity search. Exposed the system via FastAPI async endpoints with token optimization, reducing inference cost by 20% while maintaining response quality.
MCP Course
Hugging Face
January 1, 2026 – January 1, 2026
Agent Course
Hugging Face
January 1, 2026 – January 1, 2026
Python Certification
HackerRank
January 1, 2026 – January 1, 2026
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in cutting-edge AI/GenAI technologies, aligning well with an AI Engineer role. The diversity of projects, from RAG knowledge assistants to e-commerce intelligence systems, shows breadth in applying AI solutions to different domains. The certifications from Hugging Face further indicate a proactive approach to learning and staying current with industry trends. The experience in a software developer role, including front-end migration and CI/CD, suggests a well-rounded technical profile that can contribute beyond core AI tasks. The candidate's summary explicitly states seeking a 'Junior AI Engineer role', which aligns with their experience level and current skill set, indicating a good fit for growth within an AI-focused team.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience indicate a results-oriented approach, with clear metrics for improvements (e.g., 40% reduction in processing time, 30% UI performance improvement, 20% inference cost reduction). This suggests a focus on operational efficiency and impact. The multi-agent system development implies strong problem-solving and architectural thinking. However, without direct assessment data, soft skills like teamwork, leadership, and adaptability are inferred from project descriptions rather than explicitly proven.