2 years at Microsoft building large-scale systems for millions of users. Founder of CodingRippler — an automation agency delivering AI-powered solutions using n8n, LLMs, and custom integrations for clients globally. What I deliver: Web scraping & CRM automation (95% reduction in manual work) AI content engines for marketing teams Automated market discovery systems Patent holder in machine learning.

Harsh Kumar

2 years at Microsoft building large-scale systems for millions of users. Founder of CodingRippler — an automation agency delivering AI-powered solutions using n8n, LLMs, and custom integrations for clients globally. What I deliver: Web scraping & CRM automation (95% reduction in manual work) AI content engines for marketing teams Automated market discovery systems Patent holder in machine learning.

Available to hire

2 years at Microsoft building large-scale systems for millions of users. Founder of CodingRippler — an automation agency delivering AI-powered solutions using n8n, LLMs, and custom integrations for clients globally.
What I deliver:

Web scraping & CRM automation (95% reduction in manual work)
AI content engines for marketing teams
Automated market discovery systems

Patent holder in machine learning.

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Experience Level

Expert
Expert
Expert
Expert

Work Experience

Software Engineer at Microsoft
June 1, 2024 - Present
Led end-to-end development of News features for Viva Connections, replacing deprecated P2P-powered Feed system and enabling smooth transition to 3SR-based services, impacting 15 Million MAU. Built custom lightweight HTML renderer from scratch, achieving 99% size optimization and improving performance by eliminating renderhtml package dependency while maintaining full feature parity. Designed and shipped News Tracking feature with telemetry infrastructure for distribution tracking and built new ranking endpoints to enable personalized news recommendations, enhancing user engagement. Enhanced 3SR service reliability by resolving critical pagination bug, implementing developer debugging capabilities and authoring detailed documentation for faster incident resolution. Proactively fixed 12+ bugs and resolved Sev1 accessibility issues to ensure production readiness across all deployment rings.
Machine Learning Engineer Intern at Mastercard
June 1, 2023 - August 1, 2023
Developed novel auto-encoder architecture with adaptive reweighing to mitigate bias from sensitive attributes in ML models, leading to patent approval. Split latent representations into biased and unbiased components using auto-encoder and improved model fairness by applying adaptive weights for main task classification. Designed and implemented bias mitigation algorithm addressing fairness issues in production ML systems.

Education

Bachelor of Technology at IIT BHU
November 1, 2020 - May 1, 2024

Qualifications

Fairness with Adaptive Reweighing
June 1, 2023 - August 1, 2023

Industry Experience

Computers & Electronics, Financial Services, Software & Internet