Surendra K.

Key Skills

Software

No software listed

Top Subject Matter

LLM applications

prompt engineering

AI evaluation

Top Data Types

Text

Image

Top Task Types

Emotion Recognition

Text Summarization

Data Collection

Freelancer Overview

Cyrus OS — Personal AI Desktop Assistant (Independent). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Python. Education includes Master of Science, Birmingham City University (2027) and Bachelor of Computer Applications, Vivekananda Global University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Emotion Recognition.

Labeling Experience

Cyrus OS — Personal AI Desktop Assistant (Independent)

Text

Built an AI desktop assistant and prompt/LLM evaluation workflow to improve response quality and routing across multiple models. Worked on structured assessment and rubric-style evaluation for generated AI outputs in the context of the assistant’s features. Designed components that support training-like iteration by measuring and refining model behavior over time. • Prompt design and multi-model LLM routing • AI response evaluation using structured rubric assessment • Security and audit logging to track assistant interactions • Vector-memory integration to support context-aware responses

2025 - Present

Big Data Processing Literature Survey — BCU MSc Project

TextText Summarization

Researched and documented big data processing paradigms as an academic deliverable. Synthesized approaches to batch versus stream processing architectures and frameworks into a scholarly paper. Although not label annotation, the work involved structured analysis of textual technical material for instructional and reference purposes. • Wrote an IEEE-style LaTeX academic paper • Reviewed Lambda/Kappa architectures and modern big data frameworks • Compared batch vs stream processing paradigms • Produced a structured literature survey narrative

2026 - 2026

Reddit Construction Industry Sentiment Analysis — BCU MSc Project

TextEmotion Recognition

Conducted large-scale sentiment analysis on Reddit text data as part of an MSc project. Applied sentiment scoring and topic modeling to derive structured insights from social media posts. Produced a presentation summarizing findings derived from analyzed textual data. • Analyzed 20,000 Reddit posts (sampled 10,000) • Used VADER sentiment analysis and LDA topic modeling • Built social network graph representations from relationships • Communicated results via structured slide deck

2026 - 2026

Trainity Data Analytics Portfolio — Virtual Internship

TextData Collection

Completed an AI/analytics virtual internship portfolio focused on end-to-end data analysis projects. Applied clustering and ensemble learning methods to structured datasets and delivered reporting outputs. The work supported model building and evaluation through preparing and analyzing datasets for downstream analytics. • Completed 8 end-to-end analytics projects • Used clustering (Wine/Iris) and ensemble learning • Produced structured reports and visualizations • Built analytics outputs with Python, R, Excel, and Power BI

2025 - 2025

Education

Work History