Advanced AI Data Trainer & Software Developer – Invisible AI (Mar 2024 – January 2025)
# Contributed to Large Language Model (LLM) projects for clients like Google and Amazon, specializing in SFT and RLHF workflows.
# Achieved a 90%+ QA pass rate by developing, testing, and debugging AI and software code across multilingual and multi-turn responses.
# Participated in model evaluation for 3,000+ responses across cross-functional teams including financial and software domains.
# Applied cloud principles and secure coding practices using Swift, Java, C++, Kotlin, and Python to optimize AI training pipelines.
Full Stack Web Developer Intern – IIT Roorkee (May 2023 – Jul 2023)
# Built India’s Water Footprint platform under the Jal Shakti Abhiyan using React and JavaScript, supporting water sustainability efforts.
# Engineered interactive India maps with ReactSVGMaps and integrated dynamic charts for data-driven decision-making.
# Created a Personal Water Footprint Calculator using IndiaStat data to promote individual-level conservation insights.
# Employed a full-stack stack including HTML, CSS, Bootstrap, and React Charts for performance-optimized UI/UX.
Academic Researcher – LEAD School (Oct 2021 – Jul 2022)
# Researched strategies to bridge COVID-19-induced learning gaps in K-12 education, impacting over 3.5 million students.
# Co-authored Mathematics and Python textbooks used across 8000+ schools, enhancing computational literacy.
# Designed scalable learning content tailored for distributed classroom environments and offline learning contexts.
# Integrated educational research with content development for improved student engagement and retention.