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AI Engineer with less than a year in Generative AI & LLM Applications.
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AI Engineer with hands-on experience building production-grade Generative AI applications, Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems using LangChain and LangGraph. Proficient in Python, FastAPI microservices, AWS Bedrock, ChromaDB vector databases, and PostgreSQL. Experienced in designing scalable agentic workflows, deploying cloud-native AI solutions, and automating enterprise processes. Seeking AI Engineer or Machine Learning Engineer roles to deliver impactful, real-world AI systems.
Panimalar Engineering College
B.Tech. · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Velammal Matric Higher Secondary School
Board of Higher Secondary Education
N/A – May 31, 2022
Avasoft
AI Platform Engineering Intern
December 1, 2025 – May 1, 2026
Chennai, Tamil Nadu, India
Smart Government Scheme Assistant
January 1, 2026 – June 1, 2026
Architected a multi-agent Natural Language Processing (NLP) assistant using LangGraph and LangChain, indexing 100+ Indian government schemes with agentic eligibility routing; delivered 3x faster lookup than manual search. Implemented a Retrieval-Augmented Generation (RAG) pipeline with ChromaDB vector database and Sentence-Transformers embeddings, achieving 85%+ eligibility-matching accuracy through semantic filtering and prompt engineering. Exposed eligibility determination, scheme search, and user profiling via FastAPI REST endpoints; built an interactive Streamlit UI enabling natural language citizen queries.
View ProjectMedExtract AI
January 1, 2025 – December 31, 2025
Developed an end-to-end medical document extraction pipeline using FastAPI and AWS Bedrock Data Automation, processing PDF records and extracting structured patient and prescription data with 90%+ field-level accuracy. Designed 4 REST API endpoints for document upload, asynchronous processing, and result retrieval; leveraged Amazon S3 for cloud storage and PostgreSQL for metadata querying across 1000+ records.
View ProjectBean & Brew AI
January 1, 2025 – December 31, 2025
Built an AI-powered conversational ordering assistant using LangChain, LangGraph, and Large Language Models (LLMs), supporting menu retrieval, order placement, and personalized recommendations with sub-2s response time. Integrated AWS Bedrock LLMS, MCP tools, and PostgreSQL-backed session memory for context retention across 10+ turn conversations, improving order completion rate by 35%.
View ProjectGenerative AI Certified Professional
Oracle
January 1, 2025 – Present
Japanese Language Proficiency Test (Certified)
JLPT N4
January 1, 2025 – Present
Artificial Intelligence for Real World Application
TCSION
January 1, 2024 – Present
Data Science for Beginners
Nasscom
January 1, 2023 – Present
Data Analytics with Python and SQL
NIIT
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse domains, including conversational AI, government services, and medical document processing. This breadth of application, combined with certifications in AI and data science, indicates a proactive learning attitude and a desire to explore various facets of AI engineering. The target role of 'AI Engineer' aligns well with their demonstrated skills and project focus. The candidate's involvement in multiple projects and certifications suggests a driven individual who would likely integrate well into a technically focused, innovative team.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest good problem-solving skills, an understanding of agile development, and technical communication. The focus on building functional applications with measurable improvements (e.g., 35% order completion rate, 3x faster lookup) indicates a results-oriented approach. The academic projects, while impressive, are still academic, and the internship is yet to commence, so real-world operational fit beyond project scope is yet to be fully proven.