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AI Engineer with 1+ years in RAG & Cloud Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python & AI Engineer with 1+ year of experience developing scalable backend applications and AI-powered solutions. Proficient in FastAPI, Django, REST APIs, Large Language Models, RAG architectures, vector databases, and cloud technologies. Built and deployed production-grade applications including financial chatbots, medical NLP pipelines, intelligent document processing systems, and AI content generation platforms. Strong focus on clean architecture, performance optimization, and delivering business-driven AI solutions.
Government Women's Engineering College -- Ajmer
B.Tech · Computer Engineering
August 1, 2020 – June 30, 2024
Gohashinclude Pvt. Ltd.
AI Engineer
January 1, 2025 – Present
India
Enterprise Document Q&A Engine
June 24, 2026 – Present
Built a custom RAG application using Python, LangChain, and ChromaDB to ingest and query complex PDF datasets. Wrapped the logic in a FastAPI backend and containerized the application using Docker for seamless deployment.
Automated Resume Parsing Tool
June 24, 2026 – Present
Developed an NLP-driven application utilizing the OpenAI API to parse user resumes against job descriptions, outputting skill-gap analysis and formatting feedback strictly enforced via Pydantic models.
Cultural Fit Analysis
The candidate's project diversity, ranging from educational content generation to financial analytics and voice automation, demonstrates adaptability and a broad interest in applying AI across different domains. The experience with various tools and technologies (e.g., multiple LLMs, vector databases, cloud platforms) indicates a willingness to learn and integrate new solutions. The target role of 'AI Engineer' aligns perfectly with the candidate's professional experience and project work, suggesting a strong cultural fit for an AI-focused team.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on delivering business-driven AI solutions and optimizing performance, suggesting a results-oriented and efficient operational approach. The project descriptions are clear and highlight problem-solving capabilities. However, without specific psychometric or English test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.