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AI Engineer with less than a year in Data Analytics & Software Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer with strong knowledge of Python, Machine Learning, Generative AI, and Data Analytics. Skilled in Prompt Engineering, Large Language Models (LLMs), LangChain, Hugging Face, FastAPI, and AI-powered application development. Passionate about building intelligent solutions, automation systems, and experimenting with emerging AI technologies. Strong analytical, problem-solving, and learning abilities.
SVKM's Institute of Technology, Dhule
B.Tech · Electrical Engineering
January 1, 2021 – January 1, 2025
Cravita Technologies India Pvt. Ltd.
Data Analytics Intern
November 1, 2025 – Present
Pune, Maharashtra, India
QSpiders
Software Testing Intern
March 1, 2025 – May 1, 2025
Pune, Maharashtra, India
Sales Analysis Dashboard
June 5, 2026 – Present
Developed interactive dashboards using Power BI, SQL, and DAX. Generated KPI-driven business insights through data visualization.
AI-Powered Document Q&A Assistant
June 5, 2026 – Present
Built an AI-based document question-answering system using Python and LangChain. Implemented Prompt Engineering and Retrieval-Augmented Generation (RAG) concepts. Designed contextual response generation workflows using LLM techniques.
Data Analyst Certification
Fortune Cloud Technology
June 1, 2026 – January 1, 2026
Industry 4.0 and IIoT
NPTEL
June 1, 2026 – January 1, 2025
Software Testing Certification
QSpiders
June 1, 2026 – January 1, 2025
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying new technologies, particularly in the AI domain. The 'AI-Powered Document Q&A Assistant' project aligns well with an innovative and experimental culture often found in AI engineering teams. The blend of AI and data analytics skills suggests a versatile individual who can bridge different technical areas. The personal projects indicate self-motivation and a drive to acquire relevant skills outside formal education, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions and experience suggest an ability to collaborate (e.g., 'Collaborated with teams') and a problem-solving mindset. The 'AI-Powered Document Q&A Assistant' project indicates initiative and a passion for building intelligent solutions. The data analytics internship shows an operational fit for data-driven tasks, including automation and quality improvement. However, specific soft skill demonstrations are limited to project and experience descriptions.