
AI Engineer with less than a year in Generative AI, RAG pipelines, and Web Development.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in developing Generative AI solutions and Retrieval-Augmented Generation (RAG) pipelines, Deepali is experienced in Python, LangChain, and Google Gemini API for creating intelligent, source-grounded applications. She is skilled in Vector Databases (ChromaDB), Multimodal AI processing, and building analytical dashboards using Streamlit. Deepali actively builds and maintains AI-driven tools, showcasing strong technical project management abilities in AI and Web Development.
Unknown
Bachelor of Business Administration
N/A – June 30, 2025
Happynest.com
January 1, 2026 – Present
A fully responsive and content-rich website, customized using Elementor, plugins, and custom CSS to match the brand's aesthetic and functionality needs.
Kanupriya.net
January 1, 2026 – Present
A personal portfolio website showcasing professional services, designed with a clean layout and optimized for performance and SEO.
Gemini-RAG-Bot
January 1, 2026 – Present
Developed a source-grounded RAG system using LangChain and Gemini to eliminate LLM hallucinations.
View ProjectIntelliAnalyze
January 1, 2026 – Present
Multimodal AI assistant engineered for high-precision analysis of financial CSVs and PDF reports.
View ProjectAI Video Factory
January 1, 2026 – Present
Built an agentic workflow that automates the entire process from text script to rendered video content.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI and software engineering, aligning with an AI Engineer role. The diversity of projects, from web development to advanced AI systems, indicates a broad technical curiosity. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, particularly in AI. The focus on personal projects suggests self-motivation and initiative. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader work attitude.