Anshul Palarpwar
@anshulpalarpwar
LLM/ML evaluator and AI trainer focused on dialogue quality and narrative data.
What I'm looking for
I am a final-year B.Tech Computer Science student with over three years of freelance experience evaluating and annotating large volumes of LLM/ML outputs for accuracy, coherence, consistency, and natural flow.
I design structured feedback loops, quality rubrics, and validation processes to iteratively improve model responses in dialogue-like interactions, and I document insights through comprehensive reports and KPI summaries.
My projects include building narrative-driven recommendation flows, time-series model annotation and visualization, and fine-tuning real-time detection models, with outcomes including a 1st place win at ETHSF Hackathon 2025.
I bring attention to detail, analytical storytelling, collaborative feedback, and a passion for narrative gaming and world-building to roles that require high-quality, consistent annotation and evaluation for human-like AI agents.
Experience
Work history, roles, and key accomplishments
ML Engineer (Project)
PredictX
Mar 2025 - Present (10 months)
Annotated and processed large time-series datasets for crypto prediction models, produced narrative reports and visualizations, and delivered the project under tight deadlines, winning 1st Prize at ETHSF Hackathon 2025.
Computer Vision Engineer
Personal Project
Jan 2025 - Present (1 year)
Fine-tuned PyTorch YOLOv8 models on annotated datasets for real-time fire and smoke detection, and implemented performance evaluation and visualization frameworks to ensure robust monitoring.
AI Recommendation Developer
Personal Project
Jan 2024 - Present (2 years)
Built NutriSync, a React + Flask/Python AI recommendation system with narrative-driven, dialogue-like flows and user journey tracking; iterated on interactions to ensure data consistency and engaging experiences.
LLM/ML AI Trainer
Aligners
Oct 2021 - Jan 2025 (3 years 3 months)
Evaluated thousands of LLM/ML outputs daily against quality rubrics to improve accuracy, coherence, tone, and consistency; designed feedback loops and validation frameworks that increased model reliability. Documented insights and collaborated with distributed teams to drive scalable data-quality improvements.
Education
Degrees, certifications, and relevant coursework
Ramdeobaba College of Engineering and Management
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: CGPA 8.2
Pursuing a B.Tech in Computer Science and Engineering with coursework and projects focused on AI, ML, and software development; maintained a CGPA of 8.2.
Availability
Location
Authorized to work in
Job categories
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