I’m a Senior Software Engineer and AI/ML practitioner with strong experience in data annotation, data collection, scraping, and building high-quality datasets for real-world use. I’ve worked in finance, insurance, and healthcare. Most recently, at Majesco Canada, I developed and improved data-driven systems for clients such as Canada Life, RBC, Desjardins, and Blue Cross. Earlier, I worked as a Data Engineer at P3 Health Partners and held Data QA and Annotation roles at Amazon. These roles gave me a strong foundation in labelling, auditing, and validating data at scale. My freelance work focuses on: Data annotation & labelling (text, audio, image, medical, insurance, finance) Data scraping & collection for research or AI training Cleaning, structuring, and preparing datasets for ML models Python automation, SQL analysis, and end-to-end data pipelines AI/ML workflow development, LLM tasks, and prototyping I’m detail-oriented, quick to adapt, and comfortable working on both technical backend tasks and hands-on annotation projects. If you need clean, accurate, AI-ready data—or someone who understands the full pipeline—I’m here to help.

Kedarnath Pamarthi

I’m a Senior Software Engineer and AI/ML practitioner with strong experience in data annotation, data collection, scraping, and building high-quality datasets for real-world use. I’ve worked in finance, insurance, and healthcare. Most recently, at Majesco Canada, I developed and improved data-driven systems for clients such as Canada Life, RBC, Desjardins, and Blue Cross. Earlier, I worked as a Data Engineer at P3 Health Partners and held Data QA and Annotation roles at Amazon. These roles gave me a strong foundation in labelling, auditing, and validating data at scale. My freelance work focuses on: Data annotation & labelling (text, audio, image, medical, insurance, finance) Data scraping & collection for research or AI training Cleaning, structuring, and preparing datasets for ML models Python automation, SQL analysis, and end-to-end data pipelines AI/ML workflow development, LLM tasks, and prototyping I’m detail-oriented, quick to adapt, and comfortable working on both technical backend tasks and hands-on annotation projects. If you need clean, accurate, AI-ready data—or someone who understands the full pipeline—I’m here to help.

Available to hire

I’m a Senior Software Engineer and AI/ML practitioner with strong experience in data annotation, data collection, scraping, and building high-quality datasets for real-world use. I’ve worked in finance, insurance, and healthcare. Most recently, at Majesco Canada, I developed and improved data-driven systems for clients such as Canada Life, RBC, Desjardins, and Blue Cross.

Earlier, I worked as a Data Engineer at P3 Health Partners and held Data QA and Annotation roles at Amazon. These roles gave me a strong foundation in labelling, auditing, and validating data at scale.

My freelance work focuses on:
Data annotation & labelling (text, audio, image, medical, insurance, finance)
Data scraping & collection for research or AI training
Cleaning, structuring, and preparing datasets for ML models
Python automation, SQL analysis, and end-to-end data pipelines
AI/ML workflow development, LLM tasks, and prototyping
I’m detail-oriented, quick to adapt, and comfortable working on both technical backend tasks and hands-on annotation projects. If you need clean, accurate, AI-ready data—or someone who understands the full pipeline—I’m here to help.

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Experience Level

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

English
Fluent
Telugu
Fluent
Hindi
Fluent

Work Experience

Senior Software Engineer at Majesco
August 18, 2024 - Present
Developed and optimized data-driven insurance rating algorithms used by major Canadian insurers (RBC, Canada Life, Desjardins, Blue Cross, Beneva). Worked with large actuarial and financial datasets, ensuring accuracy, consistency, and clean structure for downstream analytics and modeling. Built and maintained backend components using Java, SQL, Python, and proprietary DSLs to support enterprise insurance platforms. Collaborated with cross-functional teams to translate business rules, data requirements, and client specifications into reliable, production-ready systems. Performed detailed debugging, QA validation, and data verification to improve system accuracy and reduce calculation errors across products. Automated repetitive data tasks, improving efficiency in rate updates, data extraction, and validation workflows. Integrated complex data sources (experience data, rate history, eligibility data) into scalable pipelines used for rating and renewal calculations. Ensured clean, well-structured input/output data formats for external teams, analysts, and client-facing systems. Supported the creation and interpretation of actuarial logic, helping bridge the gap between business, data, and engineering. Provided technical guidance and issue resolution during client meetings and production deployments.

Education

Master Of Applied Computer Science at St. Francis Xavier University
January 1, 2021 - December 1, 2022
Graduated with a Master of Applied Computer Science (MACS) from St. Francis Xavier University, Canada.

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Healthcare, Media & Entertainment