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Generative AI Engineer with less than a year in Machine Learning and Data Analysis
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 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
August 1, 2022 – June 30, 2026
BSSB Junior College
Intermediate · MPC
N/A – May 31, 2022
Sri Chaitanya School
SSC
N/A – May 31, 2020
Personalized Dementia Prediction System
January 1, 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)
January 1, 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.
SQL (Basic) Skill Certification
HackerRank
June 1, 2026 – Present
Git & GitHub Basics
GitHub Skills
June 1, 2026 – Present
Advanced Excel Basics
Unknown
June 1, 2026 – Present
Programming Fundamentals
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems (dementia prediction, smart retail). The ongoing Generative AI learning path aligns well with a forward-thinking, innovation-driven culture. The diversity of projects, though academic, shows an ability to tackle different problem domains. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic projects, focusing on problem-solving and technical implementation. The ongoing learning path suggests self-motivation and a desire for continuous improvement. However, without professional experience or specific team collaboration details, it is difficult to assess operational fit and soft skills beyond academic project contributions.