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Amandeep Vasistha

Amandeep Vasistha

AI & ML Engineer

India
77
Profile Score

About

AI & ML Engineer with experience building data-driven solutions and exploring Generative AI for internal automation and analytical use cases. Strong foundation in Python, machine learning, and ML workflows, with hands-on experience in computer vision, NLP, and data analysis. Actively developing backend capabilities with basic familiarity in REST APIs and interested in backend engineering, GenAI, and applied AI roles.

Skills & Expertise (5)

Python Advanced
8.1/10
2
Years Exp
7
Proficiency
5
Experience
10
Recency
8
Demand
Machine Learning Advanced
8.1/10
2
Years Exp
7
Proficiency
5
Experience
10
Recency
9
Demand
Deep Learning Intermediate
7.0/10
1
Years Exp
5
Proficiency
4
Experience
10
Recency
9
Demand
Computer Vision Intermediate
6.9/10
1
Years Exp
5
Proficiency
4
Experience
10
Recency
9
Demand
NLP Intermediate
6.1/10
1
Years Exp
5
Proficiency
4
Experience
6
Recency
9
Demand

Work Experience

Research Intern - Natural Language Processing

Indian Institute of Technology (IIT) Guwahati

08-2022 - 09-2022

Interned in the Natural Language Processing domain under faculty guidance in the Department of CSE. Performed annotation of events in short stories, contributing to the creation of structured datasets for NLP tasks. Replicated and evaluated baseline NLP models to understand performance and experimental limitations.

AI & ML Intern

National Institute of Electronics & IT (NIELIT)

08-2022 - 09-2022

Completed a structured internship focused on Machine Learning and Artificial Intelligence fundamentals. Worked on hands-on ML exercises and mini-projects, covering data pre-processing, model training, and evaluation.

Research Intern - Natural Language Processing

Indian Institute of Technology (IIT) Guwahati

08-2022 - 09-2022

Interned in the Natural Language Processing domain under faculty guidance in the Department of CSE. Performed annotation of events in short stories, contributing to the creation of structured datasets for NLP tasks. Replicated and evaluated baseline NLP models to understand performance and experimental limitations.

AI & ML Intern

National Institute of Electronics & IT (NIELIT)

08-2022 - 09-2022

Completed a structured internship focused on Machine Learning and Artificial Intelligence fundamentals. Worked on hands-on ML exercises and mini-projects, covering data pre-processing, model training, and evaluation.

AI & ML Engineer

Ashok Leyland

07-2024 - Present

Working on AI/ML and data-driven solutions for enterprise use cases, supporting analytical insights and internal tools. Developing Python-based workflows for data analysis, model experimentation, and evaluation. Exploring Generative AI use cases for internal automation, reporting, and knowledge retrieval. Collaborating with CFT to understand business requirements and translate them into technical solutions. Actively building backend capabilities through hands-on development and continuous learning alongside core AI/ML responsibilities.

AI & ML Engineer

Ashok Leyland

07-2024 - Present

Working on AI/ML and data-driven solutions for enterprise use cases, supporting analytical insights and internal tools. Developing Python-based workflows for data analysis, model experimentation, and evaluation. Exploring Generative AI use cases for internal automation, reporting, and knowledge retrieval. Collaborating with CFT to understand business requirements and translate them into technical solutions. Actively building backend capabilities through hands-on development and continuous learning alongside core AI/ML responsibilities.

Education

Bachelor of Technology

2020 - 2024 · India

Bachelor of Technology

2020 - 2024 · India

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 10/20
🎓 Education 10/10
⏱️ Experience 12/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 77/100

Profile Overview

Member sinceFeb 2026

Availability Details

Current Company

Other

Skills (5)

Python Machine Learning Deep Learning Computer Vision NLP