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Sriyansh .

M.Tech AI’27 @NITJ

Noida

4+ years of work experience

Dr B R Ambedkar National Institute of Technology, Jalandhar
Sep 202511 mosPresent

Jalandhar

Outlier
Aug 20232 yrsJul 2025

Remote

– Evaluated and ranked LLM-generated Python and ML code across 500+ tasks, assessing correctness, reasoning quality, and instruction-following for RLHF and SFT (Supervised Fine-Tuning) post-training pipelines. – Specialized in NLP and deep learning domains — reviewed model outputs involving PyTorch, Scikit-learn, and data pipelines; applied rubric-based evaluation to assess multi-step reasoning and code logic. – Contributed to human preference datasets used in fine-tuning large language models, directly supporting post-training alignment workflows across HuggingFace ecosystems. – Leveraged domain expertise in LoRA, instruction tuning, and RAG to identify subtle model errors in retrieval and generation tasks — reducing annotation ambiguity and improving dataset quality
IIMT COLLEGE OF ENGINEERING, GREATER NOIDA
Sep 20191 yrAug 2020

Education

Dr B R Ambedkar National Institute of Technology, Jalandhar

M.Tech, Artificial Intelligence

Dr B R Ambedkar National Institute of Technology, Jalandhar

20252 yrs2027

Bachelor of Technology - BTech, Computer Science and Engineering

IIMT COLLEGE OF ENGINEERING, GREATER NOIDA

20194 yrs2023

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Sriyansh . on Tal

Headline

M.Tech AI’27 @NITJ

Location

Noida

Work experience

Class Representative at Dr B R Ambedkar National Institute of Technology, Jalandhar, Sep 2025 - Present · 11 mos, Jalandhar

AI Trainer– Code & ML Evaluation at Outlier, Aug 2023 - Jul 2025 · 2 yrs, Remote, – Evaluated and ranked LLM-generated Python and ML code across 500+ tasks, assessing correctness, reasoning quality, and instruction-following for RLHF and SFT (Supervised Fine-Tuning) post-training pipelines. – Specialized in NLP and deep learning domains — reviewed model outputs involving PyTorch, Scikit-learn, and data pipelines; applied rubric-based evaluation to assess multi-step reasoning and code logic. – Contributed to human preference datasets used in fine-tuning large language models, directly supporting post-training alignment workflows across HuggingFace ecosystems. – Leveraged domain expertise in LoRA, instruction tuning, and RAG to identify subtle model errors in retrieval and generation tasks — reducing annotation ambiguity and improving dataset quality

Class Representative at IIMT COLLEGE OF ENGINEERING, GREATER NOIDA, Sep 2019 - Aug 2020 · 1 yr

Education

M.Tech, Artificial Intelligence, Dr B R Ambedkar National Institute of Technology, Jalandhar

Bachelor of Technology - BTech, Computer Science and Engineering, IIMT COLLEGE OF ENGINEERING, GREATER NOIDA

Sriyansh . - Class Representative in Noida | Tal