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AI Engineer with less than a year in Machine Learning, Python & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech (CSE- Artificial Intelligence) graduate with a strong foundation in Machine Learning, Python, and Data Science. Seeking an entry-level role to apply AI-driven solutions in real-world applications. Committed to continuous learning and contributing to innovative, data-driven teams.
Kakinada Institute Of Engineering And Technology
B.Tech · Computer Science (Artificial Intelligence)
August 1, 2021 – June 30, 2025
Sri Chaithanya Educational Institutions
Intermediate · MPC
June 1, 2019 – May 31, 2021
B.V.N.R ZP High School
SSC
June 1, 2018 – May 31, 2019
Fake job post detection
June 1, 2026 – Present
Designed and implemented a Fake Job Post Detection system using NLP and Machine Learning algorithms.Performed data cleaning, text preprocessing, and feature extraction using TF-IDF.Trained and evaluated classification models using accuracy and other performance metrics.
Python programming
Edyst
June 1, 2026 – Present
Machine Learning with Go
Infosys springboard
June 1, 2026 – Present
AWS cloud Practitioner Essentials
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project, certifications, and stated objective align well with an AI Engineer role, indicating a strong interest and foundational knowledge in the field. The participation in team-based events (hackathon, communication skills event) suggests an ability to collaborate, which is beneficial for cultural fit. The breadth of skills covers Python, SQL, various ML libraries, and cloud platforms, showing a diverse technical interest relevant to modern AI development.
Soft Skills & Operational Fit
The candidate highlights strong analytical thinking, problem-solving abilities, good communication skills for explaining technical concepts, and a willingness to learn and adapt. These are positive indicators for operational fit, especially in a fast-paced AI/ML environment. Participation in a hackathon and a communication skills event further supports these claims.