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AI Engineer with less than a year in AI Agent Orchestration, LLM-based Automation & MLOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering student (SPU, Batch 2027) with hands-on experience in AI API integration, AI agent orchestration, and LLM-based automation. Proficient in building end-to-end GenAI pipelines from prompt engineering and RAG systems to autonomous multi-agent workflows using LangChain and LangGraph. Strong DevOps and infrastructure foundation (Docker, Linux, CI/CD, AWS) enabling full-stack AI development and deployment.
Sankalchand Patel University (SPU)
B.Tech · Computer Engineering
August 1, 2023 – June 30, 2027
Uma Higher Secondary School
12th
N/A – May 31, 2023
Arpan Higher School
10th
N/A – May 31, 2021
AI Agent Pipeline with LLM API Integration
January 1, 2026 – Present
Designed multi-step AI agent workflows using LLM APIs, managing conversation context, persistent memory, and tool-calling to automate complex real-world tasks end-to-end. Engineered structured prompt templates with chained agent responses, error handling, retries, and output validation for production-readiness; integrated external REST APIs for dynamic data retrieval.
View ProjectRAG-Based Document Q&A Chatbot
January 1, 2026 – Present
Built a complete RAG pipeline: PDF ingestion, recursive text chunking, FAISS vector indexing, and LLM-powered answer synthesis with ConversationalRetrievalChain and chat history memory. Deployed a Streamlit interface for real-time document upload and querying, reducing hallucinations through grounded document retrieval.
Autonomous Task Automation Agent (LangGraph)
January 1, 2026 – Present
Architected a LangGraph-powered autonomous agent with conditional branching, retry logic, and custom tools (web search, file I/O, API calls) to plan, execute, and self-correct multi-step workflows.
Dockerized Web App with Nginx Reverse Proxy
January 1, 2026 – Present
Architected a 3-container Docker Compose environment with production-grade service isolation; administered Ubuntu host via systemctl, SSH, and journalctl for service management and log monitoring.
Smart Attendance System QR-Based Capstone
January 1, 2026 – Present
Containerized a QR-based attendance system for a 4-person team; managed Git branching strategy to prevent merge conflicts across the full project lifecycle.
UI/UX Design
Le Wagon (72-hour Figma intensive)
June 1, 2026 – Present
SPU Hackathon
Team-based competitive project
June 1, 2026 – Present
Odoo Combat 2024
Competitive App-Development Hackathon
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects, from RAG chatbots to autonomous agents and infrastructure, shows a broad technical curiosity. Participation in hackathons and certifications indicates a proactive learning attitude and engagement with the tech community, which generally contributes positively to cultural fit in innovative environments. However, all projects are academic, and there is no professional experience, which limits the assessment of real-world team collaboration and corporate cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-step tasks and manage project lifecycles (e.g., Git branching strategy). Participation in hackathons suggests a collaborative and competitive spirit. However, without direct behavioral assessment, specific soft skills and operational fit cannot be fully determined.