Rao U.

Key Skills

Software

Other

Top Subject Matter

STEM (Computer Science coursework)

Business data / structured datasets for AI training

LLM output evaluation / prompt engineering

Top Data Types

Text

Top Task Types

Data Collection

RLHF

Freelancer Overview

Academic Researcher & STEM Tutor (Peer). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Google Colab, and VS Code. Education includes Bachelor of Science, NFC Institute of Engineering and Technology (NFC IET) (2027) and Higher Secondary Certificate, Nishat College for Boys (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Prompt Engineering & AI Output Evaluation (self-directed)

OtherTextRLHF

Repeatedly practiced prompt engineering and iterative AI tool usage to evaluate LLM outputs. Focused on checking accuracy, coherence, and instruction-following quality, aligning with RLHF-style feedback and training-data evaluation. Developed a habit of debugging and refining model interactions to improve output reliability for downstream labeling needs. • Prompt + response evaluation loops • Assessment of instruction adherence • Consistency and quality checking of generated analysis/text • Systematic improvement through iteration

2024 - Present

Freelance Web Developer & Automation Learner

TextData Collection

Built Python-based web scraping and automation workflows to extract, clean, and structure business data for dataset creation. Applied data wrangling and quality control steps that support reliable inputs for AI training and subsequent annotation. Developed additional AI-related tooling and evaluation habits by repeatedly validating extracted and generated outputs for accuracy and consistency. • Structured data extraction using openpyxl and BeautifulSoup • Automated cleaning and transformation into tabular formats • Quality assurance mindset for consistent dataset review • Dataset preparation workflows for AI training pipelines

2024 - Present

Academic Researcher & STEM Tutor (Peer)

OtherText

Assisted in peer academic work where complex technical content needed review, clarification, and quality checking to support accurate understanding. Focused on applying structured reasoning and clear technical documentation practices that align with AI data QA and labeling guidelines. Used iterative explanation and feedback patterns that mirror rating and validation steps in training data pipelines. • Parallel & Distributed Computing coursework assistance (CS-322) • Technical writing and lab report review/creation support • Clear explanation of compiler design concepts for consistent interpretation • Emphasis on accuracy, coherence, and correctness for downstream use

2023 - Present

Lexical Analyzer with Web UI (Academic Project)

Developed a C++ lexical analyzer that performs tokenization, token classification, and pattern matching. Built supporting interfaces to visualize token outputs in real time, enabling structured inspection similar to preprocessing and labeling workflows used for NLP datasets. Leveraged compiler-front-end logic that can support generating labeled token sequences or consistent annotations. • Token generation via lexical analysis • Pattern matching and token classification logic • Real-time visualization for inspection and validation • NLP-prep relevance through structured token outputs

2024 - 2024

Education

Work History