Hi, I’m Hardik Singh Sengar, an AI Data Trainer and LLM Quality Analyst with 1+ year of hands-on experience in data annotation, model evaluation, and large language model fine-tuning. I’ve contributed to RLHF workflows, personalization evaluation, Side-by-Side model comparisons, and grounding analysis while collaborating with global teams at Invisible Technologies, Appen, and TELUS International. I enjoy using prompt engineering and structured feedback to improve AI safety, reliability, and user experience.

Hardik Singh Sengar

Hi, I’m Hardik Singh Sengar, an AI Data Trainer and LLM Quality Analyst with 1+ year of hands-on experience in data annotation, model evaluation, and large language model fine-tuning. I’ve contributed to RLHF workflows, personalization evaluation, Side-by-Side model comparisons, and grounding analysis while collaborating with global teams at Invisible Technologies, Appen, and TELUS International. I enjoy using prompt engineering and structured feedback to improve AI safety, reliability, and user experience.

Available to hire

Hi, I’m Hardik Singh Sengar, an AI Data Trainer and LLM Quality Analyst with 1+ year of hands-on experience in data annotation, model evaluation, and large language model fine-tuning.

I’ve contributed to RLHF workflows, personalization evaluation, Side-by-Side model comparisons, and grounding analysis while collaborating with global teams at Invisible Technologies, Appen, and TELUS International. I enjoy using prompt engineering and structured feedback to improve AI safety, reliability, and user experience.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Hindi
Fluent
English
Advanced

Work Experience

Computer & Information Systems Specialist – AI Trainer at Invisible Technologies
July 1, 2025 - Present
Train and fine-tune large language models by providing high-quality data annotations, feedback, and evaluations to enhance model accuracy and performance. Analyze AI outputs to identify edge cases, biases, hallucinations, and personalization errors. Conduct Side-by-Side (SxS) evaluations and grounding analysis to improve response integration and helpfulness. Generate structured rationales and detailed quality reports to strengthen model reliability and safety compliance.
AI Data Annotator at Appen AI
March 1, 2025 - June 1, 2025
Labeled and categorized text, audio, and search relevance datasets for supervised AI model training. Performed intent classification and search quality evaluation tasks. Maintained high annotation accuracy while meeting productivity benchmarks. Provided feedback to improve annotation guidelines and data consistency.
Data Annotator at TELUS International
December 1, 2024 - February 1, 2025
Annotated and validated datasets to support machine learning development pipelines. Evaluated AI-generated responses for safety, compliance, and quality standards. Conducted quality assurance checks to reduce model error rates. Worked in a global remote team environment with strict data handling standards.
AI Trainer at Invisible Technologies
July 1, 2025 - Present
Train and fine-tune large language models by providing high-quality data annotations, feedback, and evaluations to enhance model accuracy and performance. Analyze AI outputs to identify edge cases, biases, hallucinations, and personalization errors. Conduct Side-by-Side (SxS) evaluations and grounding analysis to improve response integration and helpfulness. Generate structured rationales and detailed quality reports to strengthen model reliability and safety compliance.
AI Data Annotator at Appen
March 1, 2025 - June 1, 2025
Labeled and categorized text, audio, and search relevance datasets for supervised AI model training. Performed intent classification and search quality evaluation tasks. Maintained high annotation accuracy while meeting productivity benchmarks. Provided feedback to improve annotation guidelines and data consistency.

Education

Bachelor of Engineering in Computer Science at Chandigarh University
August 1, 2021 - June 1, 2025
Higher Secondary Certificate (PCM) at Adarsh Vidya Mandir
April 1, 2020 - March 1, 2021
Bachelor of Engineering in Computer Science at Chandigarh University Mohali, Punjab
August 1, 2021 - June 1, 2025
Higher Secondary Certificate (PCM) at Adarsh Vidya Mandir
April 1, 2020 - March 31, 2021
Bachelor of Engineering in Computer Science at Chandigarh University, Mohali, Punjab
August 1, 2021 - June 1, 2025
Higher Secondary Certificate (PCM) at Adarsh Vidya Mandir, Unnao, Uttar Pradesh
April 1, 2020 - March 1, 2021

Qualifications

Developing AI Applications with Python and Flask
January 11, 2030 - March 8, 2026
Introduction to Computer Vision and Image Processing
January 11, 2030 - March 8, 2026
Introduction to Cloud Computing
January 11, 2030 - March 8, 2026
Applications of Geospatial Technology (IIRS-ISRO Dehradun)
January 11, 2030 - March 8, 2026
Developing AI Applications with Python and Flask
January 11, 2030 - March 8, 2026
Introduction to Computer Vision and Image Processing
January 11, 2030 - March 8, 2026
Introduction to Cloud Computing
January 11, 2030 - March 8, 2026
Applications of Geospatial Technology (IIRS-ISRO Dehradun)
January 11, 2030 - March 8, 2026
Developing AI Applications with Python and Flask
January 11, 2030 - March 8, 2026
Introduction to Computer Vision and Image Processing
January 11, 2030 - March 8, 2026
Introduction to Cloud Computing
January 11, 2030 - March 8, 2026
Applications of Geospatial Technology (IIRS-ISRO Dehradun)
January 11, 2030 - March 8, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Computers & Electronics, Education, Telecommunications

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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