Sanskar Naithani

Software Developer with hands-on internship experience building Python-based AI/ML pipelines, REST APIs, and full-stack web applications. Proficient in Python, JavaScript, React, Node.js, and SQL with a track record of shipping production features across Agile sprint cycles. Delivered systems with 92–94% model accuracy and measurable latency improvements.

Eager to contribute across the full development lifecycle — from intelligent algorithm development and backend APIs to React-based frontends — in a dynamic product team.

Artificial Intelligence Intern at Wayeva Innovations Pvt. Ltd (2026-01 – 2026-04)

• Designed and shipped Python-based AI/ML inference pipelines for 2 product features across 4 Agile sprint cycles, collaborating via Git with a cross-functional remote team.
• Reduced end-to-end prediction latency by 20% through batch processing, code refactoring, and inference path optimisation, directly improving application responsiveness.
• Enforced branch hygiene and structured code review practices across a distributed team, achieving zero merge conflicts across all sprint deliverables.
• Authored AI feature specifications and test-result documentation; templates adopted as the team standard for iterative ML feature delivery.

Artificial Intelligence Intern at Codec Technologies Pvt. Ltd. (2025-10 – 2025-11)

• Engineered end-to-end computer vision pipelines from raw image ingestion to model serving using Python, TensorFlow, and CNN architectures; achieved 92% test accuracy on classification tasks.
• Built a reusable preprocessing and augmentation library across 1,000+ training samples, standardising input quality and cutting per-experiment data-preparation time.
• Applied transfer learning on pretrained CNN models, reducing training convergence time by 30% while maintaining classification performance on domain-specific datasets.

Master of Computer Applications in Computer Applications – Graphic Era Hill University (2024 – 2026)

B.Sc. in Information Technology – Shri Guru Ram Rai University

Class XII in CBSE – Kendriya Vidyalaya