Laxman Pratap Singh

AI Engineer

https://www.opentalent.in/laxman-pratap-singh

Bangalore Urban, Karnataka, IndiaMember since March 6, 2026

Key Strengths

Deep expertise in RAG and LLM architectures, including end-to-end design and deployment of multimodal systems.
Proven ability to implement advanced techniques like prompt engineering, hallucination mitigation, semantic chunking, and FAISS-powered vector retrieval.
Strong practical experience with relevant technologies including Python, LangChain, FastAPI, AWS (EC2, S3, IAM), OCR, and Sentence Transformers.
Demonstrated focus on delivering measurable business impact and optimizing system performance and reliability, with quantifiable results in previous roles.
Experience in MLOps aspects such as deployment, API integration, and LLM monitoring (LangSmith/Weights & Biases).
The candidate's specialized skills and project experience are highly relevant and directly align with the target AI Engineer role, particularly in Generative AI.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric tests to objectively assess cultural fit. The provided assessment score for psychometric tests is 0, indicating this test was either not taken or not evaluated.

Soft Skills & Operational Fit

The candidate demonstrates a results-oriented and impact-focused approach through project descriptions, highlighting automated processes and efficiency gains. Operational fit is strong, evidenced by experience in deploying production-grade applications on AWS, API integration, and implementing monitoring and evaluation frameworks for AI systems. However, direct assessment data for soft skills is insufficient, as the English test score is 0, indicating it was not taken or evaluated.

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Experience

Permaweld Pvt. Ltd.

AI Engineer

September 1, 2023 – February 1, 2026

Bengaluru, India

AI Variant

Data Science Intern

October 1, 2022 – March 1, 2023

Bangalore, India

Key Strengths

Deep expertise in RAG and LLM architectures, including end-to-end design and deployment of multimodal systems.
Proven ability to implement advanced techniques like prompt engineering, hallucination mitigation, semantic chunking, and FAISS-powered vector retrieval.
Strong practical experience with relevant technologies including Python, LangChain, FastAPI, AWS (EC2, S3, IAM), OCR, and Sentence Transformers.
Demonstrated focus on delivering measurable business impact and optimizing system performance and reliability, with quantifiable results in previous roles.
Experience in MLOps aspects such as deployment, API integration, and LLM monitoring (LangSmith/Weights & Biases).
The candidate's specialized skills and project experience are highly relevant and directly align with the target AI Engineer role, particularly in Generative AI.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric tests to objectively assess cultural fit. The provided assessment score for psychometric tests is 0, indicating this test was either not taken or not evaluated.

Soft Skills & Operational Fit