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AI Engineer with 1+ years in LangChain & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a computer engineer, enthusiastic about machine learning and data science, possess a comprehensive understanding of machine learning algorithms and deep learning techniques, seeking opportunities to apply my knowledge to real-world projects and gain practical experience.
SAL ENGINEERING AND TECHNICAL INSTITUTE
Computer Engineering · Computer Engineering
January 1, 2020 – January 1, 2024
THE SCHOOL OF SCIENCE(SOS)
12th Science · Science
January 1, 2018 – January 1, 2020
Vyapar Taxone
AI Engineer Intern
November 1, 2025 – Present
Surat, Gujarat, India
SellNorm
Freelance project
January 1, 2025 – May 1, 2025
India
AI-multi agent system, focused on banking/financial queries
January 1, 2026 – June 1, 2026
Built a modular, multi-agent AI customer support system using LangGraph and LangChain, integrating specialized agents such as a RAG-based Knowledge Agent (with website scraping, text splitting, and ChromaDB vector search), a Customer Support Agent (handling structured tasks like ticket creation via tools), and a Personality Agent (enhancing tone and empathy). Designed an intelligent routing mechanism using LangGraph to dynamically trigger agents based on user intent, with multilingual support and a fallback web search agent for unanswered queries. The system supports scalable, tool-based workflows and integrates with Google Generative AI via a custom endpoint, enabling real-time, context-aware automation of business logic.
Cultural Fit Analysis
The candidate's projects and experience align well with an AI Engineer role, demonstrating a clear focus and passion for the field. The diversity in projects (banking/financial queries, retail platform) shows adaptability. The Cleanathon participation indicates some community engagement. The candidate's profile suggests a proactive and learning-oriented individual, which generally contributes positively to cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design complex systems and integrate various technologies, suggesting strong problem-solving and technical execution skills. The internship and freelance work show initiative and practical application of learned concepts. However, without direct assessment data on soft skills, a comprehensive evaluation of teamwork, communication, and stress handling is not possible.