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S ChoudharySC
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S Choudhary

@schoudhary

Senior Data Scientist specializing in LLM engineering, RAG, and ML model evaluation.

India
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What I'm looking for

I seek roles building and evaluating LLMs and ML systems, with strong emphasis on rigorous evaluation, production deployment, collaboration, and growth in LLM/AI research.

I am a Senior Data Scientist with 5+ years of applied data science experience building and deploying ML and DL models across domains such as education, e-commerce, and healthcare. I specialize in LLM engineering, RAG pipelines, vector databases, prompt engineering, and structured evaluation to measure hallucination, tool use, and reasoning robustness.

In my current role I design stress-testing frameworks for Gemini, GPT and Claude, develop agent-based IoT simulation environments, and contribute to RLHF workflows to improve model alignment. I have built predictive and credit-risk models, implemented ensemble techniques, and engineered datasets that improved model generalization and evaluation depth.

I work hands-on with Python, SQL, PyTorch, TensorFlow, Transformers, and AWS (EC2, SageMaker) to deliver production-ready models and evaluation pipelines. I prioritize rigorous evaluation, interpretable insights, and practical deployments that drive data-driven decision making.

Experience

Work history, roles, and key accomplishments

HI
Current

Senior Data Scientist

Highbrow Technology Inc.

May 2024 - Present (2 years 1 month)

Designed and executed LLM stress-testing and evaluation frameworks, built RAG pipelines and agent-based IoT simulations to benchmark grounding, reasoning, and tool-use, and contributed to RLHF workflows to improve alignment.

SC

Associate Data Scientist

Schoollog

Jan 2018 - Feb 2020 (2 years 1 month)

Built and validated credit risk models using logistic regression, decision trees, random forests and ensemble techniques, producing an additive scoring model with a KS of 51.5% and enabling data-driven decisions.

Education

Degrees, certifications, and relevant coursework

SI

Sobhasaria Group Of Institutions

Master of Technology, Computer Science

2020 - 2022

Grade: 9.93 CGPA

Completed M.Tech in Computer Science with a CGPA of 9.93, focusing on advanced topics in machine learning and data science.

SI

Sobhasaria Group Of Institutions

Bachelor of Technology, Computer Science

Grade: 76.02%

Completed B.Tech in Computer Science with a percentage of 76.02, covering core computer science and software engineering subjects.

BS

Bhartiya Sr. Sec. School

Intermediate, Mathematics

Grade: 73.20%

Completed Intermediate with Mathematics as a major subject, achieving 73.20% marks.

BS

Bhartiya Sr. Sec. School

Matriculation, Mathematics

Grade: 86.67%

Completed Matriculation with Mathematics, securing 86.67% marks.

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