Oct 2024 – Feb 2026 · 1 yr 4 mos · Gurugram, Haryana, India · Hybrid

• Designed and implemented a multi-LLM orchestration framework from scratch, enabling seamless integration and dynamic switching between GPT-4, GPT-5, Gemini Pro, Claude, and Bedrock models with unified configuration, error handling, and adaptive token management.
• Engineered a full-stack Python-based automation pipeline that converts multi-page Figma designs into functional, multi-screen Android applications using Jetpack Compose, incorporating dynamic navigation and API integration.
• Implemented CI/CD workflows using GitHub Actions, automating build, test, and deployment processes for both backend and Android modules, significantly reducing manual release overhead.
• Developed and maintained backend (Python) and frontend (UI) components, debugging and resolving critical issues to ensure smooth performance and reliability.
• Configured GitHub Actions environments with secrets management, job matrices, and artifact caching to optimize workflow efficiency and secure deployments.
• Collaborated cross-functionally with design, QA, and DevOps teams to improve application features, testing coverage, and user experience.
• Authored project documentation and contributed to user story creation, enhancing development clarity and sprint efficiency.
• Enhanced pipeline scalability by introducing reusable workflows and automated integration testing for new design components.

Jul 2023 – Oct 2024 · 1 yr 3 mos

Jul 2022 – Jul 2023 · 1 yr

• Developed rule-based data statistic generator to ensure data integrity across DEV, QA, and Prod environments, reducing error rates by 90%.
• Automated data validation tasks for a strategic customer, resulting in a 75% reduction in effort and saving up to 6.5 hours per week.
• Implemented test automation framework resulting in reducing the entire data reconciliation process from 8 hours to just 60 minutes
• Developed and executed a strategy to categorize data into HUB, SAT, and LINKS resulting in a reduction of query time by 40%.
• Collaborated with cross-functional teams to enhance the ETL process which resulted in reducing loading time by 45%.
• Developed rule-based data statistic generator to ensure data integrity across DEV, QA, and Prod environments, reducing error rates by 90%.
• Implemented test automation framework resulting in reducing the entire data reconciliation process from 8 hours to just 60 minutes

Feb 2022 – Jul 2022 · 5 mos

• Developed expertise in programming languages by completing rigorous hands-on exercises and code challenges, resulting in a 90% average on all assessments.
• Collaborated with subject matter experts and mentors to gain valuable insights into industry trends and best practices, leading to the successful completion of multiple complex projects.
• Participated in regular webinars and quizzes to stay up-to-date on the latest developments in software engineering, enhancing overall technical skills by 30%.

May 2020 – Jun 2020 · 1 mo

• Developed a Real Estate price prediction model using advanced techniques such as data cleaning, feature engineering, and dimensionality reduction resulting in an accuracy rate of 95%.
• Identified outliers within the dataset using machine learning algorithms and removed them resulting in cleaner datasets that improved the model's performance by 15%.