HAMILTON INFANT A

AI Engineer

https://www.opentalent.in/hamilton-infant-a

AI Engineer with less than a year in Backend Development & Cloud Computing

Key Strengths

Demonstrated experience in AI/ML projects, including deep learning (LSTM, EfficientNet-B0) and transformer models.
Proficiency in Python and relevant AI libraries (geodesic, transformers).
Experience with web application development using Django and Streamlit for AI model deployment.
Academic background in Artificial Intelligence and Data Science directly aligns with the target role.
Exposure to cloud computing fundamentals and backend development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a strong interest and foundational skill set in AI and data science, which aligns well with an AI Engineer role. The diversity of projects (e-waste, stock prediction, bird recognition) shows a breadth of application areas for AI, indicating adaptability and curiosity. The participation in hackathons and workshops suggests a proactive approach to learning and engagement within the tech community. However, the lack of professional experience means cultural fit is primarily inferred from academic and project engagement.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a problem-solving mindset and an ability to apply AI techniques to real-world scenarios. The academic projects suggest a capacity for independent work and technical execution. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

E WASTE FACILITY LOCATOR

June 23, 2026 – Present

This project offers a user-friendly web application for locating nearby e-waste recycling facilities. It incorporates AI to provide informative insights into e-waste disposal practices. Powered by Django, and AI libraries like geodesic, transformers.

STOCK MARKET PREDICTION USING LSTM

June 23, 2026 – Present

I built a stock market prediction model using LSTM networks and historical stock prices. The model was evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The user interface, created with Streamlit, allows users to input stock ticker symbols and view historical data

BIRD CALL RECOGNITION AND COUNTING USING DEEP LEARNING

June 23, 2026 – Present

Developed an AI-driven system for Indian bird species identification and population estimation from audio recordings. Used Mel Spectrograms and EfficientNet-B0 for classification, with advanced event detection to minimize double counting. Built a Streamlit-based web app for real-time analysis, supporting biodiversity monitoring and conservation research.

Key Strengths

Demonstrated experience in AI/ML projects, including deep learning (LSTM, EfficientNet-B0) and transformer models.
Proficiency in Python and relevant AI libraries (geodesic, transformers).
Experience with web application development using Django and Streamlit for AI model deployment.
Academic background in Artificial Intelligence and Data Science directly aligns with the target role.
Exposure to cloud computing fundamentals and backend development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

HAMILTON INFANT A

Key Strengths

Cultural & Operational Fit

About

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Key Strengths

Cultural & Operational Fit