Sanskar Gupta

Innovative AI Computer Science Engineer specializing in Computer Vision and NLP. Skilled in optimizing AI-generated code and improving client communication. Experienced in Python OOP and MLOps, delivering solutions that enable clients to leverage AI effectively. Focused on driving impactful results in software development.

• IBM Data Science Professional Certificate & IBM Applied Data Science Specialization, Coursera, 2024
• Google Cloud Skills Boost, 12 skill badges across MLOps, Vertex AI, Computer Vision, NLP, and Recommendation Systems, 2024-2025

• Cloud-Native MLOps Pipeline (Fashion-MNIST), 2025: This project was developed as a hands-on exploration of cloud-native AI engineering and MLOps fundamentals using the Fashion-MNIST dataset. The goal was not to build a production-grade automated ML system, but to gain structured exposure to core lifecycle stages - data ingestion, preprocessing, training (AutoML & custom), deployment, and monitoring - by leveraging Google Cloud Platform (GCP) services.
• AI Lead Qualification & Routing (n8n Workflow), 2026, n8n, LLM APIs, Google Sheets, Webhooks: Automatically qualify inbound leads and route them into clear next actions - without manual review. This n8n workflow analyzes each incoming lead, assigns a clear priority, and logs a sales-ready summary so you know exactly who to respond to first.
• GenAI Consulting Simulation - BCG X (via Forage), 2025: Prompt Engineering, Schema-Enforced Outputs, LLM Reasoning, Extracted and interpreted financial data from 10-K/10-Q reports using prompt engineering and rule-based logic for clean, schema-aligned outputs., Designed chatbot-style reasoning workflows demonstrating structured business communication and end-to-end LLM-assisted analysis from raw filings to client-facing output.