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AI Engineer with less than a year in Python, FastAPI & LLM frameworks.
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Assessing your cultural and operational fit
AI Engineer with experience building RAG systems, MCP servers, AI agents, and backend applications using Python, FastAPI, and modern LLM frameworks. Interested in developing scalable AI-powered products, intelligent automation systems, and knowledge retrieval platforms while strengthening software engineering and machine learning expertise.
Gyanmanjari Innovative University
Bachelor of Technology · Information Technology
August 1, 2023 – June 30, 2026
Gujarat Technological University
Diploma · Information Technology
August 1, 2020 – June 30, 2023
NITSAN Technologies LLP
AI-ML Intern
February 1, 2026 – June 30, 2026
India
INFRAG – Knowledge Retrieval Platform
July 1, 2025 – June 30, 2026
Developed a multi-tenant RAG platform enabling organizations to build AI-powered knowledge bases from documents, websites, Gmail, and N8N, with secure project-level data isolation and support for multiple LLM providers. Engineered end-to-end RAG pipelines with hybrid retrieval, reranking, ChromaDB-backed vector indexing, and multi-LLM orchestration, achieving ~400 ms retrieval latency. Designed scalable backend services, asynchronous processing workflows, and REST APIs using FastAPI and PostgreSQL for production deployments. Built embeddable AI chat and search widgets for seamless integration into external websites, enabling contextual knowledge retrieval across enterprise data. Developed analytics dashboards, conversation history, configurable RAG parameters, and feedback workflows to monitor usage, evaluate retrieval performance, and improve response quality.
View ProjectMulti Gmail MCP
July 1, 2025 – June 30, 2026
Developed a multi-account Gmail automation platform enabling inbox management, email drafting, and follow-up tracking from MCP-compatible clients. Built AI-powered workflows for thread analysis, personalized reply generation, and approval-based email sending using Gmail APIs. Designed scalable email management workflows to efficiently handle high-volume communications across multiple Gmail accounts.
View ProjectAI Driven Crop Disease Detection
July 1, 2025 – June 30, 2026
Contributed to advancing precision agriculture through AI-powered disease detection. Built a deep learning model (CNN, R-CNN) in Python to classify crop diseases with 95.5% accuracy, enabling early detection for farmers. Demonstrated the ability to analyze anomalies in large datasets and generate actionable insights with real-world business impact (improved agricultural productivity). Impact: Supports farmers by enabling early detection and timely intervention, improving agricultural productivity.
Cultural Fit Analysis
The candidate's project diversity, including a knowledge retrieval platform, Gmail automation, and crop disease detection, indicates a broad interest in applying AI to various domains. The listed achievements (hackathon awards) suggest a proactive and competitive spirit. The target role of AI Engineer aligns well with the candidate's demonstrated project work and technical skills, particularly in RAG and LLM integrations.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Critical Thinking, and Teamwork. Project descriptions indicate an ability to work on complex, multi-faceted problems and deliver functional solutions. The internship experience suggests an operational fit for developing and deploying AI-powered tools.