AI Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experiture
AI Engineer
June 12, 2026 – Present
AI_Assistant_frontier_OSS
May 24, 2026 – Present
AI_Assistant_frontier_OSS — GitHub repository
View ProjectMailwright-Agentic_Marketing_Email_Platform
April 29, 2026 – Present
AI-powered agentic backend that generates responsive marketing emails from plain-language briefs. Built with LangGraph, FastAPI, and LLMs (OpenAI / Anthropic) — supports iterative refinement, image generation, RAG-enhanced prompting, and MJML-to-HTML compilation.
View ProjectGoogle_Review_Analyzer
April 22, 2025 – April 24, 2025
The Google Review Analyzer is an AI application that helps businesses and analysts extract meaningful insights from Google reviews. It provides sentiment analysis, identifies key themes, detects complaints, and visualizes review trends for any business listed on Google.
View ProjectKnowledge_graph_AND_Graph_RAG
April 10, 2025 – May 7, 2025
A Neo4j-LangChain RAG pipeline that transforms Wikipedia content into a knowledge graph, enables hybrid (vector+graph) search, and delivers context-aware answers using OpenAI GPT models. Combines structured and unstructured retrieval for enhanced Q&A.
View ProjectStockInsight_AI
March 1, 2025 – Present
A fully automated financial report generation system that utilizes AI agents to collect, analyze, and generate reports based on real-time stock data and financial metrics, providing accurate and insightful financial analysis.
View ProjectTime_Series_Analysis_with_Deepseek
February 9, 2025 – February 9, 2025
Time_Series_Analysis_with_Deepseek — GitHub repository
View ProjectSmartStudy_AI
September 2, 2024 – May 16, 2025
A Gen AI-powered application designed to help college students with document interaction, job preparation, and content summarization. It includes features like chatting with PDFs, resume analysis, note-making, YouTube video summarization, and website content summarization.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects in AI demonstrate a strong passion for the field and a proactive learning attitude, which aligns well with an innovative and growth-oriented culture. The diversity of AI applications suggests adaptability and a broad interest in different problem domains. However, the lack of team-based project experience or explicit collaboration details makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a problem-solving orientation and ability to work on complex technical challenges.