May 2025 – Oct 2025 · 5 mos · San Francisco, California, United States · Remote

• Software Engineer - AI Integrations (contract).

Nov 2024 – May 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

• Application Developer- Working with Java, Jakarta EE, JDBC, PeopleSoft, PeopleTools, PeopleCode, Oracle Cloud HCM, and Oracle SQL Developer.
• Engineered robust UNIX shell scripts that automated critical financial operations, reducing manual processing time by 66% and eliminating human error in high-stakes monetary transactions.
• Architected and implemented sophisticated file validation workflows with advanced error-handling mechanisms, ensuring data integrity across enterprise systems while maintaining compliance with financial regulations.
• Designed and optimized cross-platform data migration scripts that seamlessly transferred financial records between disparate systems, maintaining transactional consistency and audit trails.
• Created, monitored, and maintained mission-critical enterprise workflows on BMC Control-M.
• Developed complex Oracle SQL queries and stored procedures to extract, transform, validate, and analyze financial data sets, providing actionable business intelligence to executive stakeholders.
• Leveraged PeopleSoft PIA to perform comprehensive system validation, troubleshooting complex integration issues between financial modules and implementing solutions that enhanced system reliability

Sep 2024 – Oct 2024 · 1 mo · Ludhiana, Punjab, India · On-site

• IT Associate 1 (Takshashila).

Jan 2024 – Aug 2024 · 7 mos · Bengaluru, Karnataka, India · On-site

• During my tenure as an R&D Intern at Philips, I was instrumental in the design and implementation of sophisticated automated testing strategies. Leveraging my expertise in C#, JavaScript, and UiPath, I crafted scalable and reusable test scripts that meticulously simulated diverse application scenarios. These scripts played a pivotal role in identifying potential issues before deployment, ensuring the reliability, performance, and compliance of critical medical applications.
• Within Philips’ ICAP unit, I took on the responsibility of safeguarding the integrity and efficacy of systems and software apps relied upon by healthcare professionals for patient care. By architecting and maintaining robust automated testing frameworks, I significantly reduced manual testing efforts and accelerated the time-to-market for vital medical solutions. My work directly contributed to the seamless integration of continuous integration and continuous delivery (CI/CD) pipelines, enhancing the overall efficiency of our development processes. I also provided critical insights and feedback on application features and interfaces based on the rigorous testing and client feedback, contributing to a more intuitive and user-friendly experience for healthcare professionals, and consequently better feedback from users. In addition to that, I maintained meticulous documentation of all testing phases and defects, ensuring continuous improvement and adherence to industry best practices and supporting compliance with stringent medical software regulations.

Jun 2023 – Aug 2023 · 2 mos · Jaipur, Rajasthan, India · Remote

• Led end-to-end development of data-driven solutions leveraging advanced analytics and machine learning techniques, demonstrating strong capability in deriving actionable insights from complex datasets:
• Spearheaded the development and deployment of a Human Activity Recognition system using Convolutional Neural Networks (CNNs), fine tuning the Resnet-18 model, achieving 94% accuracy in real-time analysis and pattern recognition, showcasing ability to solve complex business problems through data-driven approaches
• Engineered and implemented robust REST APIs using Django framework, facilitating seamless integration of ML models into production environments, demonstrating full-stack development capabilities and solution-oriented mindset
• Conducted comprehensive data analysis and visualization using Python ecosystem (NumPy, Pandas, Matplotlib, Seaborn) to generate actionable insights and identify key patterns in large-scale datasets
• Developed and executed extensive testing protocols including unit, functional, and integration testing using Postman, ensuring > 90% system reliability and optimal performance
• Collaborated cross-functionally with ML engineers and product teams to implement various AI solutions including Computer Vision applications, GANs, and NLP models, showcasing strong teamwork and communication skills
• Created detailed technical documentation and visualization dashboards to effectively communicate complex analytical findings to stakeholders, demonstrating excellent data storytelling capabilities
• Technical Skills Demonstrated:
• Advanced Analytics: Python, SQL, Statistical Analysis
• ML Frameworks and libraries: TensorFlow, PyTorch, scikit-learn
• Data Visualization: Matplotlib, Seaborn
• API Development: Django REST Framework
• Testing Tools: Postman
• Version Control: Git

Jul 2022 – Aug 2022 · 1 mo · Bhubaneswar, Odisha, India · Remote

May 2022 – Aug 2022 · 3 mos · Jaipur, Rajasthan, India · Remote