Shivam Kharb

Software engineer with hands-on experience across the ML lifecycle—model development, training, evaluation, optimization, and deployment—using TensorFlow, Keras, and Scikit-Learn on production-scale data (50K+ records). Built and deployed full-stack systems (Python, FastAPI, React.js, Node.js) on AWS EC2, with end-to-end ownership of design, testing, debugging, and documentation. Co-founded and led engineering at QSkip, taking technical leadership over architecture and live system reliability. Strong CS fundamentals in Python, C++, and Java with a track record of writing production code, collaborating cross-functionally, and shipping ML-infrastructure components from data pipeline to deployed model. linkedin+1

Internships and research exposure in applied AI and space-tech contexts: Shivam's profile lists participation in India Space Lab's winter internship program and a research internship at the AICTE IDEA Lab (GGSIPU), showing interest in applying machine learning / AI in domain projects and research environments. indiaspaceweek+2

Academic pathway from BSc (Mathematics & Computer Science) to BTech (Computer Engineering): records and public lists tie Shivam to D.A.V. Centenary College / Maharshi Dayanand University (BSc 2021–2024) and a subsequent BTech enrollment at GGSIPU/USICT (2024–2027), suggesting a transition from a foundational mathematics/computer-science degree toward an engineering-focused program. org+2

Active social/personal media presence: maintains public social accounts (YouTube channel with short videos, Pinterest, Instagram) indicating willingness to publish content and engage publicly outside technical work.