Hariom Kaushal
@hariomkaushal
Results-oriented Software Engineer and AI Data Specialist.
What I'm looking for
As a results-oriented Software Engineer and AI Data Specialist, I bring over 3 years of remote experience in training, debugging, and evaluating large language models (LLMs). My expertise spans SWEAP-style QA tasks, including test log validation and functional testing, where I have successfully contributed to diverse AI projects for companies like Outlier, Mindrift, Remotasks, and Alignerr. My commitment to building accurate, ethical, and user-friendly AI systems drives my work.
Throughout my career, I have honed my skills in Python, Git, and various annotation tools, maintaining high throughput while consistently meeting quality thresholds. I am passionate about improving model fluency, instruction alignment, and factuality, and I actively seek remote roles in AI evaluation, model QA, or data annotation. My strong understanding of multilingual workflows and collaborative spirit make me a valuable asset to any team.
Experience
Work history, roles, and key accomplishments
Data Labeling Specialist
Alignerr
Feb 2025 - Apr 2025 (2 months)
Labeled multilingual datasets (English & Hindi) for tasks like intent recognition, entity extraction, and contextual understanding. Followed strict QA protocols and participated in peer review rounds.
AI Data Trainer
Outlier
Apr 2022 - Feb 2025 (2 years 10 months)
Analyzed LLM responses across tasks like summarization, reasoning, and translation for correctness, tone, and instruction alignment. Validated test logs, JSON files, and golden patches for bugs or incomplete functionality (SWEAP validation).
AI Agent Assistant
Mindrift
Nov 2024 - Jan 2025 (2 months)
Assessed real-world factual accuracy of AI outputs across domains like open-domain chat, closed QA, and dialogue summarization. Flagged hallucinations and unsupported claims, proposing prompt-level adjustments.
Software Engineer – LLM QA
Remotasks
Dec 2023 - Dec 2024 (1 year)
Developed Python scripts to preprocess and clean LLM training datasets. Evaluated backend model outputs using logs and golden patch comparisons.
Education
Degrees, certifications, and relevant coursework
Dr. Ram Manohar Lohia Avadh University
Bachelor of Science, Computer Science (AI & ML)
Grade: 78%
Activities and societies: Developed a bilingual chatbot capable of basic sentiment analysis and fluency evaluation. Led hands-on workshops on Python basics, data wrangling, and machine learning fundamentals.
Completed a Bachelor of Science in Computer Science with a specialization in AI & ML. Developed a bilingual chatbot capable of basic sentiment analysis and fluency evaluation as a capstone project. Led hands-on workshops on Python basics, data wrangling, and machine learning fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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