ALB

Agamya L B

AI Engineer

https://www.opentalent.in/agamya-l-b-8213948

AI Engineer with less than a year in AI/ML with strong skills in Deep Learning and Web Development.

Key Strengths

Strong academic background in Artificial Intelligence and Machine Learning with a high CGPA.
Demonstrated ability to apply deep learning techniques (CNN, EfficientNet) for image classification.
Experience with NLP for sentiment analysis.
Familiarity with core AI/ML frameworks like TensorFlow and Python.
Project experience in both deep learning and traditional ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse interest in AI/ML applications (image recognition, NLP) and some web development. The 'SLM-based suggestion engine' project, though lacking specific technologies in the provided data, hints at some professional exposure. The certifications in Git & Agile Development suggest an understanding of modern development practices. However, the candidate is still pursuing a bachelor's degree, indicating a junior profile with limited real-world team experience, which might require mentorship for cultural integration into a senior role.

Soft Skills & Operational Fit

The candidate's project descriptions indicate an ability to work on defined tasks and achieve measurable results (e.g., accuracy improvements). The academic nature of most projects suggests a learning-oriented individual. However, without completed psychometric or English tests, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration skills.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Currently pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning, Agamya L B is a proactive student with strong foundational skills in programming, web development, and data science. Demonstrates practical experience through impactful projects like a Cattle Breed Identification system using CNN and a Sentiment Analyzer using AI/ML, achieving high accuracy. Additionally, has hands-on experience in research involving alert ingestion modules and JSON-based logging, and has completed certifications in Git, Agile, Data Structures, and Algorithms.

Top Skills

CNNGitNlpPowershellJava

Education

BMS Institute of Technology and Management

Bachelor of Engineering · Artificial Intelligence and Machine Learning

August 1, 2023 – June 30, 2027

MES Chaitanya PU College

PU · PCMB

June 1, 2021 – May 31, 2023

Projects

Inventory Management System using XAMPP & MySQL

June 1, 2026 – Present

Designed and developed a web-based inventory management application for item tracking and stock control. Implemented basic CRUD operations and authentication. Enabled efficient stock updates, accurate record management, and reduced manual data handling.

SLM-based suggestion engine for complex system alerts

June 1, 2026 – Present

Developed a PowerShell-based alert ingestion module with automated scheduling support. Enabled reliable JSON-based alert logging for downstream monitoring and analysis modules.

Cattle Breed Identification using CNN (EfficientNet)

June 1, 2026 – Present

Developed an image-based deep learning system to automatically identify and predict cattle breeds using an EfficientNet-based Convolutional Neural Network. Achieved 92.4% classification accuracy on the validation dataset and improved model performance by 15% accuracy gain compared to a baseline CNN.

Sentiment Analyzer using AI/ML

June 1, 2026 – Present

Created an AI/ML-based sentiment analysis system to automatically classify user-generated text into positive, negative, or neutral sentiment. Achieved 88.7% overall classification accuracy on test data.

Certifications

Git & Agile Development

Infosys Springboard

June 1, 2026 – Present

Data Structures & Algorithms

Infosys Springboard

June 1, 2026 – Present

Key Strengths

Strong academic background in Artificial Intelligence and Machine Learning with a high CGPA.
Demonstrated ability to apply deep learning techniques (CNN, EfficientNet) for image classification.
Experience with NLP for sentiment analysis.
Familiarity with core AI/ML frameworks like TensorFlow and Python.
Project experience in both deep learning and traditional ML applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit