# Aditya Sholapurkar > SWE Intern @ TechX | M.S. Computer Science, Purdue University | Research Assistant | Software & Prompt Engineer | Seeking Internships/Co-Op/Fulltime 2026 Roles | AI and ML Enthusiast. Location: San Francisco, California, United States Profile: https://flows.cv/adityasholapurkar - As a passionate software engineer and intrigued AI/ML enthusiast, I thrive at the intersection of innovative technology and impactful solutions. I specialize in crafting efficient, scalable applications using languages like Python, C++, C and JavaScript, alongside frameworks such as React.js, Node.js, and Django. - My curiosity for AI and machine learning fuels my drive to explore cutting-edge fields like computer vision and precision medicine, where I’ve contributed to advancing diagnostic tools. I excel in collaborative environments, streamlining workflows and optimizing systems to deliver measurable results, while staying committed to continuous learning through certifications and hands-on projects. - Eager to connect with like-minded professionals to build transformative digital experiences and push the boundaries of technology. Actively seeking internship / full time opportunities to enhance technical skills and gain hands-on experience in the dynamic field of computer science. ## Work Experience ### Software Engineer Intern @ TechX Jan 2026 – Present | United States Currently involved in developing solutions aligned with enterprise-grade production systems, applying modern technologies such as VMSS, load balancers, and Redis caching. ### Software Engineer Volunteer @ Translation Commons Jan 2025 – Present | United States – 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. ### Graduate Research Assistant @ Indiana University Jan 2024 – Jan 2025 | Indianapolis, IN 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%. ### Operations Team Member @ Indiana University Jan 2024 – Jan 2025 | Indianapolis, Indiana, United States 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. ## Education ### Master of Science - MS in Computer and Information Science Purdue University ### Bachelor of Engineering - BE in Information Technology Savitribai Phule Pune University ## Contact & Social - LinkedIn: https://linkedin.com/in/aditya-sholapurkar - Portfolio: https://aditya-sholapurkar.netlify.app/ --- Source: https://flows.cv/adityasholapurkar JSON Resume: https://flows.cv/adityasholapurkar/resume.json Last updated: 2026-04-10