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Sreemoyee S. — Junior AI Evaluation Specialist from India

Sreemoyee S.

Junior AI Evaluation Specialist

India 1-2 years
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EnglishBengaliHindi
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About

Sreemoyee S. is an accomplished professional based in Kolkata, India, specializing in AI evaluation with a strong background in electronics. She completed her PG Diploma in VLSI from CDAC Acts Pune with top grades and holds an M.Sc. in Electronic Science from the University of Calcutta, where she was ranked 3rd in her program. As an LLM trainer - Reasoning Analyst at Turing, Sreemoyee excelled in evaluating and enhancing Large Language Models by employing RLHF-based preference ranking, developing high-quality reference solutions, and conducting in-depth error analysis. She leveraged her skills in Python, C, C++, and Verilog to design robust testing prompts and collaborated globally on AI evaluation projects. Sreemoyee is well-versed in comparative response analysis, prompt engineering, and AI quality assurance, making significant contributions to enterprise AI tasks. Additionally, her project work includes designing AXI4-Lite interfaces and characterizing RF-sputtered MOS capacitors, showcasing her capabilities in both real-world and academic settings.

Experience

  • LLM trainer - Reasoning Analyst Advance math

    Turing · 2025 — 2025
    Evaluated and ranked Large Language Model (LLM) responses by applying RLHF-based preference ranking while comparing outputs for correctness, reasoning quality, and adherence to instructions. Developed reference solutions for intricate mathematical prompts through detailed reasoning to create high-quality baseline responses for model evaluation. Conducted error analysis at the reasoning level, identifying and correcting faulty intermediate reasoning steps in model-generated solutions, thereby providing constructive feedback to enhance future responses. Crafted challenging prompts to assess model robustness, producing adversarial test cases that revealed reasoning failures prior to validating prompts for benchmark datasets. Collaborated on various enterprise AI evaluation initiatives that included mathematical reasoning, quality assessment of responses, prompt engineering, and benchmark development while working with globally distributed teams to uphold annotation quality and consistency in evaluation.

Skills & Expertise

Education

  • PG Diploma in VLSI
    CDAC Acts Pune, India · 2025 — 2026
  • M.Sc. in Electronic Science
    University of Calcutta · 2022 — 2024
  • B.Sc. in Electronics
    Asutosh College, University of Calcutta · 2019 — 2022

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