GUNDAM SRIVANI

AI Engineer

https://www.opentalent.in/gundam-srivani

AI Engineer with less than a year in AI/ML and Computer Science.

Key Strengths

Strong foundational knowledge in AI/ML concepts, as evidenced by academic projects.
Proficiency in Python and machine learning libraries, crucial for an AI Engineer role.
Experience with image processing and computer vision techniques, directly relevant to AI applications.
Demonstrated ability to apply ML models to solve real-world problems (e.g., crop recommendation, disease detection, satellite image classification).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate an interest in applying AI to diverse domains like agriculture and remote sensing, which suggests a problem-solving mindset. However, with only academic projects and no professional experience, the breadth of skills and exposure to different team environments is limited. The target role of 'AI Engineer' aligns well with the candidate's stated specialization and project focus. The candidate is currently pursuing a B.Tech, indicating a junior profile.

Soft Skills & Operational Fit

The candidate lists 'Problem-Solving', 'Communication', 'Team Collaboration', and 'Adaptability' as core skills. While these are valuable, there is no external assessment data (e.g., psychometric test results, interview feedback) to validate these claims. The project descriptions indicate an ability to work on defined problems, but the operational fit regarding collaboration and adaptability cannot be fully assessed without further information.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Aspiring AI/ML engineer with a strong foundation in Computer Science and specialization in Artificial Intelligence and Machine Learning. Proficient in Python, data analysis, and machine learning concepts. Passionate about developing intelligent systems and applying AI technologies to solve real-world problems through innovative, data-driven solutions and scalable applications.

Top Skills

PythonImage ProcessingNode.JsFlask

Education

Mallareddy University

B.Tech · Artificial Intelligence and Machine Learning

August 1, 2022 – June 30, 2026

Racharla Junior College

M.P.C

June 1, 2020 – May 31, 2022

Projects

Agro-Vision (AI-Based Crop Recommendation & Disease Detection)

June 20, 2026 – Present

Developed an AI-powered agricultural application that recommends suitable crops based on soil conditions using machine learning algorithms. Implemented image-based crop disease detection using computer vision techniques to identify plant diseases from leaf images. Provided personalized recommendations for crop selection, disease diagnosis, and treatment solutions for farmers. Utilized Python and machine learning models to analyze soil and crop data for accurate predictions.

Unlocking the Sky: Satellite Image Classification using Machine Learning

June 20, 2026 – Present

Built a machine learning model for satellite image classification to identify land features such as forests, water bodies, and urban areas. Applied image processing and classification techniques to analyze satellite images captured from space. Developed a system capable of automatically recognizing different types of land cover using supervised learning models. Used Python-based ML libraries to train and evaluate image classification models.

Key Strengths

Strong foundational knowledge in AI/ML concepts, as evidenced by academic projects.
Proficiency in Python and machine learning libraries, crucial for an AI Engineer role.
Experience with image processing and computer vision techniques, directly relevant to AI applications.
Demonstrated ability to apply ML models to solve real-world problems (e.g., crop recommendation, disease detection, satellite image classification).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit