Avi Gupta
ML EngineerAI Engineer at Google
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I’m a Cloud AI Engineer at Google, helping teams architect and deploy scalable machine learning solutions on the cloud. My work spans MLOps, Gen AI, and end-to-end ML system design — from experimentation to production.
Udacity
Deep Learning Nanodegree, Machine Learning
January 1, 2020 – January 1, 2020
Netaji Subhas University of Technology, East Campus
BTech - Bachelor of Technology, Electrical, Electronics and Communications Engineering
January 1, 2017 – January 1, 2021
AI Engineer
January 1, 2025 – Present
Gurugram, Haryana, India
NeenOpal Inc.
Senior Data Scientist
April 1, 2024 – December 1, 2024
NeenOpal Inc.
Data Scientist
March 1, 2022 – May 1, 2024
GetBoarded
Machine Learning Engineer
April 1, 2021 – March 1, 2022
GetBoarded
Machine Learning Intern
December 1, 2020 – March 1, 2021
Sahasra Electronics Pvt Ltd
Internship Trainee
July 1, 2019 – July 1, 2019
Noida, Uttar Pradesh, India
TCIL
Summer Intern
June 1, 2019 – June 1, 2019
Greater Delhi Area
GCP Professional Machine Learning Engineer
June 23, 2026 – Present
Microsoft Certified Power Platform Functional Consultant Associate
Microsoft
June 23, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 23, 2026 – Present
AWS Partner: Accreditation (Technical)
Amazon Web Services (AWS)
June 23, 2026 – Present
AWS Partner: Accreditation (Business)
Amazon Web Services (AWS)
June 23, 2026 – Present
Natural Language Processing with Probabilistic Models
DeepLearning.AI
June 23, 2026 – Present
AI Workflow: Machine Learning, Visual Recognition and NLP
IBM
June 23, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
June 23, 2026 – Present
Software Engineering Virtual Experience
InsideSherpa
June 23, 2026 – Present
Machine Learning with Python
IBM
June 23, 2026 – Present
Applied Data Science with Python - Level 2
IBM
June 23, 2026 – Present
Data Visualization with Python
IBM
June 23, 2026 – Present
Data Analyis with Python
IBM
June 23, 2026 – Present
Python for Data Science
IBM
June 23, 2026 – Present
Data Science Foundations - Level 1
IBM
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has worked across various industries (finance, real estate, retail, pharmaceutical, learning management systems) and applied ML/Data Science to diverse problems, indicating adaptability. The target role of ML Engineer aligns well with their experience in developing and deploying ML models. The breadth of certifications across different cloud platforms (AWS, GCP) and ML domains (NLP, Deep Learning) suggests a proactive learning attitude. However, the lack of open-source contributions or community involvement makes it difficult to assess broader cultural fit beyond professional roles.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving (e.g., simulating poverty impact, credit scoring system) and collaboration (e.g., 'Collaborated on the development'). The progression from Data Scientist to Senior Data Scientist at NeenOpal Inc. suggests growth and increasing responsibility. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.