Rahul Bastia

AI Engineer

https://www.opentalent.in/rahul-bastia

Bhubaneswar, indiaMember since August 14, 2025

Key Strengths

Strong practical experience in AI/ML, including Reinforcement Learning, XGBoost, Deep Learning (CNN, RNN, Attention), NLP, and Multi-Agent Systems.
Proficiency in key AI/ML frameworks and tools such as TensorFlow, Keras, scikit-learn, LangChain, and LangGraph, highly relevant for an AI Engineer role.
Demonstrated ability to build and deploy AI solutions using MLOps-related tools like Docker, FastAPI, and Google Cloud Platform (GCP).
Excellent project portfolio showcasing end-to-end development, optimization, and scalability, particularly with the Multi-Agent Stock Analysis Engine and VisionVoice.
Competitive success and leadership potential evidenced by hackathon wins and pre-incubation of an AI startup.
Solid foundational programming and database skills (Python, Java, C/C++, SQL, PostgreSQL).

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical red flag, indicating a complete lack of fit regarding work attitude, stress handling, and team collaboration. This suggests severe challenges in integrating into a team and company culture, making the candidate a high-risk hire from a cultural perspective.

Soft Skills & Operational Fit

The psychometric test score of 0 indicates critical deficiencies in logical reasoning, work attitude, stress handling, and team collaboration. This directly contradicts the soft skills listed on the resume (Problem Solving, Analytical Thinking, Collaboration, Communication, Adaptability) and poses a significant risk to operational effectiveness and team integration.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong practical experience in AI/ML, including Reinforcement Learning, XGBoost, Deep Learning (CNN, RNN, Attention), NLP, and Multi-Agent Systems.
Proficiency in key AI/ML frameworks and tools such as TensorFlow, Keras, scikit-learn, LangChain, and LangGraph, highly relevant for an AI Engineer role.
Demonstrated ability to build and deploy AI solutions using MLOps-related tools like Docker, FastAPI, and Google Cloud Platform (GCP).
Excellent project portfolio showcasing end-to-end development, optimization, and scalability, particularly with the Multi-Agent Stock Analysis Engine and VisionVoice.
Competitive success and leadership potential evidenced by hackathon wins and pre-incubation of an AI startup.
Solid foundational programming and database skills (Python, Java, C/C++, SQL, PostgreSQL).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit