Summary
Shayan Sadar is an engineer and researcher with 8 years’ experience building ML-driven backend systems, currently focused on early-stage product design and research. He combines practical backend skills (Python, Node.js, SQL, MongoDB, Redis) with applied ML and NLP expertise (PyTorch, spaCy, OpenCV) to turn prototypes into production-ready services. Previously he led AI solutions and senior engineering efforts at QliqSOFT, scaling ML workflows and system architecture across real-world deployments. Shayan holds a BE in Computer Engineering and an MS in Computer Science from UT Dallas, blending strong academic training with hands-on product delivery. Based in India, he’s open to full-time roles where he can bridge research, system design, and backend engineering to deliver measurable product impact.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, 3.6, Master of Science - MS, Computer Science, 3.6 at The University of Texas at Dallas
ISC, Science, 89.25%, ISC, Science, 89.25% at St. Mary's Junior College, Pune
Bachelor of Engineering (BE), Computer Engineering, First Class With Distinction, Bachelor of Engineering (BE), Computer Engineering, First Class With Distinction at Savitribai Phule Pune University
ICSE, 91.6%, ICSE, 91.6% at St. Mary's School, Pune
Urdu, Marathi, Hindi, English