
Vidhya Shinde
@vidhyashinde
I build cloud automation and practical AI applications spanning NLP, RAG, and machine learning.
What I'm looking for
I automated GCP infrastructure and built serverless data workflows at Atos Global IT Solutions, using Terraform, Cloud Functions, Pub/Sub, BigQuery, Grafana, and APIGEE.
I reduced infrastructure provisioning time by an estimated 70%–80% through reusable Terraform modules. I also developed API proxy frameworks and monitoring dashboards that improved visibility into system health and performance.
I'm now transitioning into AI/ML and GenAI through hands-on work in NLP, RAG, transformer fine-tuning, image classification, regression, and classification. My news intelligence project classified 2,225 BBC articles and achieved approximately 97.8% accuracy with fine-tuned DistilBERT.
I've also built RAG question-answering workflows with FAISS and Qwen3-0.6B, fine-tuned sentiment models with PEFT-LoRA, and improved CIFAR-10 image-classification accuracy from 59.34% to 79.99% using InceptionV3 transfer learning.
Experience
Work history, roles, and key accomplishments
Associate Consultant
Atos Global IT Solutions
Nov 2016 - Apr 2021 (4 years 5 months)
Automated GCP IaaS provisioning using Terraform modules, reducing time by an estimated 70%–80% and improving deployment consistency. Developed serverless data ingestion and transformation workflows using Cloud Functions and Pub/Sub, loading processed data into BigQuery for analytics and monitoring use cases.
Education
Degrees, certifications, and relevant coursework
SkillUp
AI Foundations and Applied Learning, Artificial Intelligence
Completed the AI Foundations and Applied Learning certification.
IBM
Python for Data Science, AI and Development, Data Science
Completed the Python for Data Science, AI and Development certification.
IBM
Machine Learning with Python, Machine Learning
Completed the Machine Learning with Python certification.
Mumbai University
Master of Science, Information Technology
Grade: CGPA: 7.27
Completed M.Sc. in Information Technology with a CGPA of 7.27.
Mumbai University
Bachelor of Science, Information Technology
Grade: CGPA: 6.50
Completed B.Sc. in Information Technology with a CGPA of 6.50.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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