Anjali Sharma

AI Engineer

https://www.opentalent.in/anjali-sharma

AJMER, indiaMember since June 24, 2025

Key Strengths

Strong foundational knowledge in Python, data analysis, and machine learning, evidenced by project work and certifications.
Practical experience with LLM frameworks (LangChain, Hugging Face, LangGraph) and models (BERT, GPT, LLaMA 3) through internships and projects, directly aligning with an AI Engineer role.
Demonstrated ability to build and deploy end-to-end ML pipelines and RAG-based chatbots, including UI development (Gradio, Flask) and cloud deployment (AWS Elastic Beanstalk).
Experience with backend development, including RESTful API design and MongoDB, providing a broader technical base for AI system integration.
Proactive learner with relevant certifications (ML Specialization, SQL) and strong academic performance (CGPA 9.21).

Cultural & Operational Fit

Cultural Fit Analysis

Data insufficient: The psychometric test score is 0, making it impossible to objectively assess cultural fit aspects such as work attitude and team collaboration.

Soft Skills & Operational Fit

Data insufficient: The psychometric test score is 0, preventing an objective assessment of logical reasoning, work attitude, stress handling, and team collaboration. Resume descriptions suggest collaboration and problem-solving, but these are unvalidated.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

NirveonX

AI/ML Intern

February 1, 2025 – May 1, 2025

Ditansource

Backend Developer Intern

June 1, 2024 – November 1, 2024

Key Strengths

Strong foundational knowledge in Python, data analysis, and machine learning, evidenced by project work and certifications.
Practical experience with LLM frameworks (LangChain, Hugging Face, LangGraph) and models (BERT, GPT, LLaMA 3) through internships and projects, directly aligning with an AI Engineer role.
Demonstrated ability to build and deploy end-to-end ML pipelines and RAG-based chatbots, including UI development (Gradio, Flask) and cloud deployment (AWS Elastic Beanstalk).
Experience with backend development, including RESTful API design and MongoDB, providing a broader technical base for AI system integration.
Proactive learner with relevant certifications (ML Specialization, SQL) and strong academic performance (CGPA 9.21).

Cultural & Operational Fit

Cultural Fit Analysis

Data insufficient: The psychometric test score is 0, making it impossible to objectively assess cultural fit aspects such as work attitude and team collaboration.

Soft Skills & Operational Fit