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AI Engineer with 1+ years in Generative AI & Machine Learning. Experienced in developing AI-powered
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dhruvil Agrahari is an AI and Data Science enthusiast with strong expertise in Generative AI, Agentic AI, and Large Language Models (LLMs). He has hands-on experience with Retrieval-Augmented Generation (RAG), Computer Vision, and building intelligent AI-powered applications. He works with frameworks such as LangChain and LangGraph and uses n8n to design automated AI workflows and integrations. He also develops scalable backend systems using FastAPI to build fast and reliable APIs. Passionate about solving real-world problems, he continuously explores new tools and technologies to build innovative and practical AI solutions.
Gyan Ganga College of Technology
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
HAL SCHOOL KORWA
Senior Secondary Education
June 1, 2020 – May 31, 2021
HAL SCHOOL KORWA
Higher Secondary Education
June 1, 2018 – May 31, 2019
Marktine Technology
Jr.Data Scientist
May 1, 2025 – Present
India
CRM Chatbot
June 24, 2026 – Present
Developed an Agentic AI-based CRM Chatbot using LangChain, LangGraph, and OpenAI to handle general FAQs and client-specific business queries, with Redis caching implemented to optimize FAQ response time and performance. Integrated document intelligence for querying PDF, image, Excel, and PowerPoint files, along with a live agent handoff feature to seamlessly transfer conversations to human agents when required.
FORGEFLOW
June 24, 2026 – Present
Built a multi-agent workflow automation platform with API Registry, Workflow Builder, Agent Studio, and LLM Studio. Implemented AI-powered UI Builder and PPT Builder for generating websites and presentations through prompts. Used LangGraph, LangChain, Qdrant, FastAPI, Redis, and React to build scalable AI automation systems.
Cultural Fit Analysis
The candidate's projects and work experience demonstrate a strong focus on innovative AI solutions and automation, which aligns well with a dynamic, forward-thinking technical culture. The breadth of technologies used (Python, Node.js, React, various databases, cloud platforms) suggests adaptability and a willingness to learn new tools. However, the experience level is marked as 1, and the current role is Jr. Data Scientist, which might indicate a need for mentorship and growth within a senior AI Engineer role. The projects are primarily personal or from a single company, which limits the diversity of team environments or organizational structures experienced.
Soft Skills & Operational Fit
The candidate's resume highlights contributions to platform scalability and innovation, securing funding, and optimizing operational costs, suggesting a results-oriented and impactful approach. The 'Employee of the Month' awards indicate strong performance and potentially good teamwork, though direct evidence of collaboration or stress handling is not explicitly detailed. The project descriptions show initiative and the ability to deliver complex solutions.