Omkar Ajnadkar is a Quantitative Software Engineer at Goldman Sachs with nine years of engineering and data science experience, blending production-grade software skills with quantitative modeling. He holds an MS in Computer Science from UT Dallas and a BTech from IIIT Kalyani, and has delivered end-to-end solutions across finance, academia, and startups—from sales-quota prediction pipelines for a Fortune-100 client to NLP-driven sentiment analysis of virtual meetings. Comfortable across the stack, he has modernized web and backend systems (Next.js, WordPress, Java/Spring) and accelerated data pipelines, cutting development time through automation and clean engineering. His research background includes GAN-based approaches for medical imaging and a peer-reviewed white paper analyzing Reddit for market risk signals, reflecting a knack for turning noisy, real-world data into actionable insight. Based in Dallas, he combines quantitative rigor with practical deployment experience in fast-paced, regulated environments.
8 years of coding experience
2 years of employment as a software developer
Secondary School Certificate, Mathematics and Computer Science, 96.00 %, Secondary School Certificate, Mathematics and Computer Science, 96.00 % at Swami Vivekanand Vidyamandir, Dombivli
Front End Developer, Computer Science, Excellent, Front End Developer, Computer Science, Excellent at freeCodeCamp
Higher Secondary School Certificate, Mathematics and Computer Science, 86.00 %, Higher Secondary School Certificate, Mathematics and Computer Science, 86.00 % at Pace Junior Science College, Thane
Master of Science - MS, Computer Science, 3.758, Master of Science - MS, Computer Science, 3.758 at The University of Texas at Dallas
Bachelor of Technology - BTech, Computer Science, 9.17, Bachelor of Technology - BTech, Computer Science, 9.17 at Indian Institute of Information Technology Kalyani
Contributions:100 commits, 114 PRs, 89 pushes in 2 years 1 month
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