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AI Engineer with less than a year in Deep Learning & Embedded Systems
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented B-Tech graduate in ECE with a strong foundation in Problem Solving, Operating Systems, and Artificial Intelligence. Possesses hands-on experience in developing innovative projects such as an Automatic Street Light Illumination Control system using NodeMCU and a Fertilizer Recommendation System leveraging Deep Learning Techniques. Proficient in C, Python, Java, HTML, and CSS, eager to apply technical skills and learn in a dynamic engineering environment.
MALLA REDDY COLLEGE OF ENGINEERING
B-TECH · ECE
August 1, 2019 – June 30, 2023
NARAYANA JUNIOR COLLEGE
Intermediate · MPC
June 1, 2017 – May 31, 2019
RANKERS CONCEPT HIGH SCHOOL
Matriculation · SSC
June 1, 2016 – May 31, 2017
FERTILIZER RECOMMENDATION SYSTEM FOR DIFFERENT TYPES OF PLANT DISESEAS
February 1, 2023 – June 30, 2023
This work proposes a machine learning-based fertilizer recommendation system for this purpose. The system incorporated the Soil Test Crop Response protocol suggested by the Indian Council of Agricultural Research for the recommendation of fertilizers. This project involves with Deep Image Processing by involving with Deep Learning Technique.
AUTOMATIC STREET LIGHT ILLUMINATION CONTROL BY USING NODE MCU
November 1, 2022 – January 31, 2023
The aim of Smart Street Light System is the conservation of energy by reducing electrical wastage as well as to reduce the manpower. Embedded systems are controlled by one or more processing cores that are typically either micro controllers or digital signal processors (DSP). Embedded C is one of the most popular and most commonly used Programming Language in the development of Embedded Systems.
CORE JAVA PROGRAMMING
RAMESHSOFT TRAINING INSTITUTE
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects are academic and focused on practical applications of AI/ML in specific domains (IoT, agriculture). This indicates an interest in problem-solving through technology. The breadth of skills is foundational, aligning with an entry-level AI Engineer role. However, the lack of diverse project types or team experiences makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's resume indicates an academic background with project-based learning. The descriptions are concise, suggesting a direct communication style. However, without direct work experience or psychometric test results, it is difficult to assess operational fit, stress handling, or team collaboration skills.