AVINASH SINGH

Python / SQL – CrateDB Intern

https://www.opentalent.in/avinash-singh

Bhubaneswar, indiaMember since October 15, 2025

Key Strengths

Strong foundational Python and SQL skills demonstrated through diverse project work and technical skills listing.
Extensive practical experience in AI/ML/NLP, including RAG systems, reinforcement learning, multi-agent architectures, and large language models, highly relevant for data-intensive roles.
Proficiency in cloud deployment (AWS SageMaker), MLOps practices (CI/CD, Docker), and backend development (FastAPI).
Proven ability to deliver impactful solutions, such as boosting job match efficiency by 20%, reducing manual effort by 40%, and optimizing query response by 40%.
Experience with various databases (PostgreSQL, MongoDB, Redis, Pinecone) indicates adaptability to new database technologies like CrateDB.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the provided psychometric test score of 0, there is no positive indication of cultural fit. Further assessment is required to understand the context of this score.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving capabilities, tackling complex issues like agentic hallucination and parsing diverse codebases. They exhibit initiative and leadership in developing and deploying solutions, such as leading chatbot development and architecting a master-critic agent system. An impact-driven approach is evident through consistently quantifying improvements. Experience with CI/CD and AWS deployment indicates an understanding of operational best practices.

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Experience

Affine

Data Science Intern (AI Practices)

April 1, 2025 – Present

Bengaluru

Flasho Tech Pvt Ltd.

AI Engineer Intern

January 1, 2025 – April 1, 2025

Global E-Village Services India Ltd. (GESIL)

AI Intern

July 1, 2024 – December 1, 2024

Bhubaneswar

Key Strengths

Strong foundational Python and SQL skills demonstrated through diverse project work and technical skills listing.
Extensive practical experience in AI/ML/NLP, including RAG systems, reinforcement learning, multi-agent architectures, and large language models, highly relevant for data-intensive roles.
Proficiency in cloud deployment (AWS SageMaker), MLOps practices (CI/CD, Docker), and backend development (FastAPI).
Proven ability to deliver impactful solutions, such as boosting job match efficiency by 20%, reducing manual effort by 40%, and optimizing query response by 40%.
Experience with various databases (PostgreSQL, MongoDB, Redis, Pinecone) indicates adaptability to new database technologies like CrateDB.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the provided psychometric test score of 0, there is no positive indication of cultural fit. Further assessment is required to understand the context of this score.

Soft Skills & Operational Fit