Shandar Modabbir

AI/ML Engineer – RAG

https://www.opentalent.in/shandar-modabbir

Indian Institute of Technology Kharagpur

Key Strengths

Strong foundational knowledge in AI/ML, particularly NLP and Deep Learning, as evidenced by project work.
Practical experience with LLM integration (Gemini API, LLaMA-3) and multi-agent systems, directly relevant to RAG.
Proficiency in key AI/ML frameworks and libraries including PyTorch, TensorFlow, LangChain, and Hugging Face Transformers.
Experience in data preprocessing, model training, evaluation, and optimization.
Demonstrated ability to build end-to-end AI solutions, from data ingestion to UI integration and real-time inference.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, covering multi-modal assistants, research agents, emotion recognition, and text summarization, shows a broad interest in AI/ML applications. The target role of 'AI/ML Engineer – RAG' aligns well with the candidate's demonstrated skills in LLMs, multi-agent systems, and NLP. The candidate is currently pursuing a B.Sc. in Geology, which is not directly related to the target role, but the extensive project work and relevant courses compensate for this. The candidate's academic achievements suggest a strong drive and capability for learning complex subjects.

Soft Skills & Operational Fit

The candidate's resume indicates strong problem-solving skills through complex project implementations. The ability to work with various APIs (Gemini, SerpAPI) and integrate different components suggests good operational fit for building robust systems. However, without psychometric or English test scores, it's difficult to assess communication clarity, stress handling, or team collaboration directly.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge in AI/ML, particularly NLP and Deep Learning, as evidenced by project work.
Practical experience with LLM integration (Gemini API, LLaMA-3) and multi-agent systems, directly relevant to RAG.
Proficiency in key AI/ML frameworks and libraries including PyTorch, TensorFlow, LangChain, and Hugging Face Transformers.
Experience in data preprocessing, model training, evaluation, and optimization.
Demonstrated ability to build end-to-end AI solutions, from data ingestion to UI integration and real-time inference.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shandar Modabbir

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit