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AI Engineer with less than a year in Machine Learning and GenAI applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student with hands-on experience in Machine Learning, Python, and GenAI-based applications. Built real-world projects like facial recognition systems and AI-powered tools. Strong in problem-solving, backend development, and delivering scalable solutions. Interested in Data Science & GenAI-driven product roles.
Sagi Rama Krishnam Raju Engineering College (Autonomous)
B.Tech · Artificial Intelligence and data science
N/A – June 30, 2026
Sri Vasavi Engineering College
Diploma · Electronics and Communication Engineering
N/A – June 30, 2023
AI-Based Hiring Prediction System
June 30, 2026 – Present
Developed an end-to-end machine learning system to predict candidate hiring outcomes using structured and unstructured data. Performed data preprocessing, feature engineering, and model training using Scikit-learn algorithms. Integrated NLP techniques for resume analysis and built an interactive interface for user input and predictions.
GenAI Content Recommendation System
June 30, 2026 – Present
Created a GenAI-powered content recommendation system using LLMs to deliver personalized story and podcast suggestions based on user preferences. Implemented embedding-based similarity search and prompt engineering to improve recommendation accuracy and explainability. Designed a scalable backend using FastAPI and integrated APIs for real-time responses.
Cloud Computing
NIELIT
June 1, 2026 – Present
Full Stack Web Development
IIDT BlackBucks
June 1, 2026 – Present
Artificial Intelligence
Skilldzire
June 1, 2026 – Present
Data Engineering
EduSkills
June 1, 2026 – Present
CCNA
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying AI/ML concepts. The diversity of certifications (Cloud Computing, Data Engineering, Full Stack Web Development, AI, CCNA) indicates a broad interest in technology, which could be beneficial for cross-functional collaboration. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit regarding collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to tackle complex problems and deliver functional systems. The focus on 'scalable backend' and 'real-time responses' suggests an understanding of operational considerations. However, without direct work experience or psychometric test results, it's difficult to assess soft skills like teamwork, stress handling, or communication clarity in a professional setting.