Amey Thorat

Actively Seeking Full-Time Opportunities | System Engineer C1 @ TCS | Software Developer | Ex-GenAI Intern @ Ford | M.Tech CSE @ VIT | AI/ML, Data Analytics & Full-Stack Development | Google Cloud Hackathon Finalist

Mumbai, Maharashtra, India

About

I’m passionate about designing intelligent, data-driven solutions that bridge technology and real-world impact. With a strong foundation in Python, AI/ML, Cloud (GCP), and Full-Stack Development, I enjoy creating systems that automate workflows, enhance decision-making, and scale efficiently. I love exploring GenAI, LLMs, and modern cloud architectures to build products that make processes smarter and more accessible. Curiosity, problem-solving, and continuous learning drive my work — whether it’s optimizing pipelines, deploying ML models, or turning ideas into production-ready applications. 💡 Key Skills: Python | AI/ML | Cloud (GCP, BigQuery, Terraform) | GenAI & LLMs | Data Analytics | Full Stack Development | Qlik Sense | Automation

Experience

  • Business Management Student at Schola
    Nov 2025 - Present · 9 mos

  • Full Stack Student at Crio.Do
    Oct 2025 - Present · 10 mos

  • Full Stack Engineer at Wavenix
    Aug 2025 - Nov 2025 · 4 mos

  • GenAI Engineer at Ford Motor Company
    Aug 2024 - Jun 2025 · 11 mos

    🤖 Built and deployed GenAI automation pipelines using Python, Tekton, and LLMs to process 1M+ service records, cutting analysis time by 80%. ⚙️ Boosted defect detection speed by 25%, enhancing vehicle reliability and customer satisfaction. 📊 Created interactive Qlik Sense dashboards for 100+ recurring issues, reducing resolution time by 20%. ☁️ Managed GCP infrastructure with Terraform, ensuring 99% uptime and smooth pipeline orchestration.

  • Machine Learning with Python at TCR Innovation
    Aug 2021 - Nov 2021 · 4 mos

    📈 Designed and optimized ML models on 65K+ records, achieving up to 95% accuracy using Random Forest, KMeans, and XGBoost. 💡 Delivered 3 production-ready solutions — Wine Quality Prediction, Gold Price Forecasting, and Credit Card Fraud Detection. ⚙️ Improved model performance by 15–20% through advanced feature engineering and hyperparameter tuning.