Balija Neela sri

Engineer, Artificial Intelligence & Machine Learning

https://www.opentalent.in/balija-neela-sri

Key Strengths

Project-based exposure to AI/ML, Generative AI, and data science pipelines.
Proficiency in Python, Machine Learning (Scikit-learn, XGBoost), and LLM integration (LLaMA, Groq API).
Experience building an AI-powered health prediction app with LLM API integration and Streamlit deployment.
IBM-certified in Data Analytics with practical knowledge of EDA, feature engineering, and model evaluation.
Experience with Prompt Engineering, LLM Applications, ReAct Agent Architecture, RAG, AI Agents, Groq API, LLAMA Models, OpenAI API Fundamentals, Vector Database Concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a breadth of technical interests, from AI/ML applications (MIRA) to IoT/Embedded Systems (LPG Transport Tracking) and FPGA design (Fault-Tolerant CLA). This diversity suggests adaptability and a willingness to explore different technical domains. The target role 'Engineer, Artificial Intelligence & Machine Learning' aligns well with the candidate's primary focus on AI/ML and Generative AI skills and projects. The candidate's education in Electronics & Communication Engineering provides a foundational understanding that could be beneficial in interdisciplinary AI roles.

Soft Skills & Operational Fit

The resume indicates experience in a team lead role for the 'LPG Transport Tracking & Leakage Detection System' project, suggesting some leadership and collaboration skills. The 'Solo Developer' role for the MIRA project demonstrates independent work capability. However, without psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.

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About

ECE graduate with hands-on experience in AI/ML,LLM integration. Built MIRA, a full-stack AI-powered health prediction app using Python, Streamlit, Groq API, and LLaMA models. Skilled in Machine Learning (Scikit-learn, XGBoost), Prompt Engineering, RAG, and ReAct Agent Architecture. IBM-certified in Data Analytics with strong knowledge of EDA, feature engineering, and model evaluation. Passionate about building intelligent, data-driven solutions and eager to contribute to real-world AI projects.

Key Strengths

Project-based exposure to AI/ML, Generative AI, and data science pipelines.
Proficiency in Python, Machine Learning (Scikit-learn, XGBoost), and LLM integration (LLaMA, Groq API).
Experience building an AI-powered health prediction app with LLM API integration and Streamlit deployment.
IBM-certified in Data Analytics with practical knowledge of EDA, feature engineering, and model evaluation.
Experience with Prompt Engineering, LLM Applications, ReAct Agent Architecture, RAG, AI Agents, Groq API, LLAMA Models, OpenAI API Fundamentals, Vector Database Concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit