Avinash Kumar Anand

AI Researcher

Chennai, Tamil Nadu, India8 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in evaluating large language models for AI systems.
Strong foundation in machine learning and data validation.
Passionate about building scalable and production-ready intelligent systems.

Stackforce AI infers this person is a Machine Learning and AI professional focused on model evaluation and intelligent system development.

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Skills

Core Skills

Artificial Intelligence (ai)Model Evaluation

Other Skills

Supervised LearningLLM EvaluationData CleansingPythonPandasRepresentational State Transfer (REST)Quality AssurancePrompt EngineeringRetrieval-Augmented Generation (RAG)Feature EngineeringMachine Learning AlgorithmsLarge Language Models (LLM)Unsupervised Learningllm qaPython (Programming Language)

About

I am an aspiring Machine Learning / AI Engineer with a strong foundation in LLM QA, model evaluation, and data-driven validation. I am deeply passionate about building, evaluating, and deploying intelligent systems that are reliable, scalable, and production-ready. Currently, I work as an LLM QA professional where I validate large language models for accuracy, consistency, relevancy, toxicity, and cost-performance. I collaborate closely with data scientists to benchmark multiple LLMs, design evaluation datasets, and test RAG-based systems. My hands-on experience includes: • Machine Learning: Linear & Ridge Regression, Random Forest, XGBoost, Feature Engineering • LLMs & NLP: Prompt Engineering, RAG, LLM-as-a-Judge, Model Evaluation Metrics • Data & Tools: Python, Pandas, NumPy, Scikit-learn, SQL • ML Practices: EDA, Outlier Handling, Skewness Treatment, Model Validation I am actively upskilling in ML model building, AI system design, and production-ready ML workflows, with the goal of transitioning into an ML / AI Engineer role where I can build and evaluate intelligent systems end-to-end.

Experience

8 yrs 7 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 8 mos

Current Experience

Intellect design arena ltd

2 roles

Lead LLM QA / AI Model Evaluation Specialist

Promoted

Nov 2023 – Present · 2 yrs 6 mos

Evaluated and benchmarked multiple Large Language Models (LLMs) for accuracy, relevancy, hallucination, toxicity, and response consistency
Designed structured evaluation datasets and test beds for RAG-based AI systems
Implemented LLM-as-a-Judge frameworks to automate qualitative model evaluation
Analyzed model performance metrics including precision, recall, relevancy scores, and cost efficiency
Collaborated with data scientists to validate prompt strategies and model outputs
Performed data cleansing and preprocessing using Python and Pandas

Supervised LearningArtificial Intelligence (AI)Model EvaluationLLM EvaluationData CleansingPython+1