Currently involved in developing solutions aligned with enterprise-grade production systems, applying modern technologies such as VMSS, load balancers, and Redis caching.

– Developed automation tools in Python, Flask, and REST APIs to streamline global translation workflows.

– Implemented cloud deployment and CI/CD pipelines to enhance reliability and speed.

– Collaborated with AI engineers to integrate LLM-powered text normalization utilities into production.

𝐀𝐈 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐦𝐨𝐝𝐚𝐥 𝐈𝐦𝐚𝐠𝐢𝐧𝐠 𝐟𝐨𝐫 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞 (𝐀𝐈𝐌𝐞𝐝) 𝐋𝐚𝐛:-

– Researched AI/ML models for medical image analysis, improving prostate cancer segmentation accuracy by 20–25%.

– Built automated data preprocessing and co-registration pipelines in Python for large-scale imaging datasets.

– Experimented with transformer-based architectures and foundational models for clinical data representation learning.

– Deployed validated models on Linux HPC (Kailash) and cloud environments, accelerating inference time by 15%.

As an Operations Team Member, I contributed to the efficiency and success of organizational processes by overseeing day-to-day tasks and collaborating across teams. My responsibilities included:

• Streamlined operational workflows by optimizing processes and enforcing compliance with company standards, boosting productivity by 30% and reducing processing time.

• Collaborated cross-functionally with internal teams to coordinate projects and resolve operational challenges, improving communication efficiency and ensuring 100% on-time project delivery.

• Developed innovative solutions to address operational bottlenecks, enhancing resource utilization by 30% and driving overall efficiency improvements.

• Identified and implemented process enhancements, reducing operational costs by 15% and improving service delivery through targeted optimization strategies.