AYUSH DEY
@ayushdey
SAP IS-U FI-CA Consultant with AI annotation expertise in NER, LLM evaluation, data labeling, QA, and prompt engineering.
What I'm looking for
I'm a Computer Science graduate and SAP IS-U FI-CA Consultant at Tata Consultancy Services (TCS), where I work on contract accounting, data validation, functional testing, business process analysis, and client support for utilities projects. My experience has strengthened my analytical thinking, attention to detail, and ability to work with complex, rule-based systems.
Alongside my professional role, I've built a portfolio focused on AI data annotation and model evaluation. I have completed projects involving Named Entity Recognition (NER) dataset creation, LLM hallucination detection, sentiment analysis dataset curation, prompt engineering, and AI response evaluation. These projects involved creating annotation guidelines, performing manual quality assurance, measuring consistency, and evaluating model outputs for factual accuracy and quality.
I enjoy working at the intersection of AI and data quality, where careful human judgment improves machine learning systems. I'm particularly interested in NLP, prompt engineering, RLHF, AI model evaluation, and data annotation. I continuously learn new AI tools and best practices while expanding my portfolio with real-world projects.
I'm currently looking for remote opportunities in AI Data Annotation, AI Training, Prompt Engineering, LLM Evaluation, Data Quality, and SAP Functional Consulting. I value accuracy, clear communication, and continuous learning, and I enjoy collaborating with distributed teams to solve challenging problems.
Experience
Work history, roles, and key accomplishments
SAP IS-U FI-CA Consultant
Tata Consultancy Services
Jan 2024 - Present (2 years 6 months)
Configured and supported SAP IS-U FI-CA contract accounting processes for utilities clients, including billing-to-cash flows and contract account data validation. Performed data validation and reconciliation, designed rule-based logic for automated processing/exception handling, and executed QA, functional testing, and UAT while tracking defects.
NLP Dataset & Model Eval
Self-Directed
Jan 2024 - Present (2 years 6 months)
Built and quality-checked an NER dataset (6 entity types) and applied manual QA for labeling consistency. Evaluated LLM outputs for factual accuracy by designing an hallucination-flagging rubric, curated a sentiment dataset, and developed a prompt engineering portfolio with documented prompt patterns and output quality comparisons.
Education
Degrees, certifications, and relevant coursework
Maulana Abul Kalam Azad University of Technology (MAKAUT)
Bachelor of Technology, Computer Science & Engineering
Completed a B.Tech in Computer Science & Engineering from MAKAUT (2024).
Availability
Location
Authorized to work in
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