AI Engineer with less than a year in Python & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated and detail-oriented Computer Science Engineering (AI & ML) student with strong foundations in programming, machine learning, and web technologies. Skilled in building practical projects, collaborating in team environments, and learning new tools quickly. Seeking an opportunity to begin a career as a Software Developer or AI/ML Engineer.
Amrita Sai Institute of Science & Technology, Paritala
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Sri Saradha Junior College, Vijayawada
Intermediate · XII
June 1, 2020 – May 31, 2022
Maddi Subbarao High School, Vijayawada
SSC · X Class
June 1, 2020 – May 31, 2020
SafeCoder
June 27, 2026 – Present
SafeCoder is an advanced AI-powered code generation platform that integrates security analysis and explainable AI to produce safer, more reliable code. The system employs a finetuned LLM using QLoRa on security-safe coding datasets.
Full Stack Developer Training
Kodnest
February 1, 2025 – Present
Front-End Development (HTML)
Great Learning Academy
August 1, 2024 – Present
Salesforce Developer Virtual Internship
Smart Internz
November 1, 2023 – Present
Cultural Fit Analysis
The candidate is an academic student with no professional experience. The 'SafeCoder' project indicates an interest in AI/ML, aligning with the target role. However, the overall project diversity is limited to one academic project. Certifications in Salesforce Developer, Front-End Development, and Full Stack Developer training show a broad interest but lack deep specialization relevant to a senior AI Engineer role. The breadth of skills is foundational but not advanced. Cultural fit for a senior role is low due to the lack of professional experience and limited exposure to diverse team environments or complex project challenges.
Soft Skills & Operational Fit
The candidate's resume highlights 'strong problem-solving ability', 'quick learner and adaptable', 'good communication skills', and 'team collaboration and time management'. These are positive indicators for operational fit and collaboration within a team. However, these claims are self-reported and not validated by external assessments or work experience.