AI Engineer with less than a year in Machine Learning & AI projects
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Assessing your cultural and operational fit
Aspiring Generative AI Engineer and Computer Science undergraduate with hands-on experience in Python, Machine Learning, Data Analysis, and AI projects. Skilled in Prompt Engineering, LLMs, RAG, LangChain, OpenAI API, and AI application development. Passionate about building intelligent AI solutions and continuously expanding expertise in Generative AI technologies. Seeking opportunities in AI Engineering, Generative AI, and Machine Learning domains.
Malineni Lakshmaiah Women's Engineering College
Bachelor of Technology
N/A – June 30, 2026
BSSB Junior College
Intermediate · MPC
N/A – May 31, 2022
Sri Chaitanya School
SSC
N/A – May 31, 2020
Generative AI Learning Path
June 24, 2026 – Present
Learning LLMs, Prompt Engineering, RAG. Exploring Gemini, Vertex AI, AI Agents. Completing Google Cloud Skills Boost courses.
Personalized Dementia Prediction System
June 24, 2026 – Present
Developed a Machine Learning model for dementia risk prediction using data preprocessing, feature engineering, and model evaluation techniques. Performed data preprocessing and feature engineering. Improved prediction accuracy through model evaluation techniques. Designed interface for user input and prediction visualization.
Edge Computing & Sensor-Based Smart Retail System (Nex-Gen Store)
June 24, 2026 – Present
Developed a real-time smart retail monitoring system using sensor-based data collection and edge computing concepts. Improved product tracking and inventory monitoring through sensor integration. Enabled faster decision-making by processing data closer to the source using edge computing techniques. Enhanced operational efficiency and customer experience through automated monitoring and analytics.
Advanced Excel Basics
Unknown
June 1, 2026 – Present
SQL (Basic) Skill Certification
HackerRank
June 1, 2026 – Present
Programming Fundamentals
Infosys Springboard
June 1, 2026 – Present
Git & GitHub Basics
GitHub Skills
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML and Generative AI, which aligns well with an AI Engineer role. The academic projects demonstrate problem-solving skills and an ability to apply theoretical knowledge. The ongoing Generative AI learning path indicates self-motivation and a desire to stay current with emerging technologies. However, the lack of professional experience and diverse project types beyond academic/personal limits the assessment of broader cultural fit and adaptability in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects and a proactive approach to learning new technologies (Generative AI Learning Path). The descriptions are clear, suggesting good communication in a technical context. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader work attitude.