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AI Engineer with less than a year in Python, LLM frameworks, and RAG pipelines.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer focused on building intelligent systems that streamline real-world business workflows and reduce manual effort. Experienced in developing AI-powered applications using Python, LLM frameworks, and backend systems. Skilled in designing RAG pipelines, automation agents, and API-driven solutions to convert unstructured data into actionable insights. Strong interest in applying generative AI and workflow automation to solve practical business problems.
Gujarat University (K.S. School of Business Management)
Integrated M.Sc. · Information Technology
August 1, 2022 – June 30, 2027
Salary Prediction & AI Chatbot
January 1, 2026 – Present
Developed an AI-powered system combining predictive modeling and a RAG-based chatbot to enable natural language querying over structured datasets. Designed a LangChain pipeline to extract and generate contextual insights, improving accessibility of data for non-technical users. Built and deployed an interactive application using Streamlit for real-time predictions and conversational data interaction. Implemented an end-to-end workflow including data preprocessing, feature engineering, model training, and evaluation for reliable predictions.
California House Price Prediction
January 1, 2026 – Present
Developed a supervised ML model to predict housing prices using census data with structured feature engineering. Performed exploratory data analysis to identify key factors influencing pricing trends and model performance.
Config-Guard Agent
January 1, 2026 – Present
Built an AI automation agent to audit system configuration files and detect unauthorized configuration drift in real-time. Designed rule-based and LLM-assisted workflows to recommend corrective actions, reducing manual monitoring effort. Integrated DeepDiff for precise change detection, ensuring reliable comparison of configuration states.
Developer and Technology Job Simulation
Accenture (Forage)
June 1, 2026 – Present
Pandas for Data Science
Kaggle
June 1, 2026 – Present
Build Real World AI Apps with Gemini/Imagen, Prompt Design in Vertex AI
Google Cloud
June 1, 2026 – Present
5-Day Intensive Course by Google / United Latino Students Association
AI Agents Intensive
June 1, 2026 – Present
Python Fundamentals for Data Science, NLP, Deep Learning, Computer Vision
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to solve real-world problems, aligning well with an innovative and impact-driven culture. The diversity of projects (salary prediction, configuration auditing, house price prediction) shows a broad curiosity and willingness to explore different domains within AI. The certifications indicate a proactive approach to learning and skill development, which is a positive cultural indicator. However, the lack of professional experience makes it challenging to fully assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical concepts into practical applications, suggesting problem-solving skills. The focus on automation and improving data accessibility points to an understanding of operational efficiency. However, without direct work experience, it's difficult to assess stress handling, team collaboration, or direct communication in a professional setting.