VinitVaibhavKumar
AIML Specialist (Artificial Intelligence & Machine Learning) | IT Service Desk Analyst
Specialising in Artificial Intelligence & Machine Learning (AIML) alongside practical experience in IT Service Desk operations, software troubleshooting, incident ticketing, and ML/NLP workflows.
About Me
AIML Specialist (Artificial Intelligence & Machine Learning) & BCA student building intelligent systems and IT workflows.
Hello! I'm Vinit Vaibhav Kumar, a passionate developer and student specialising in AIML (Artificial Intelligence & Machine Learning) at Galgotias University, combined with hands-on experience in IT Service Desk operations, hardware and software troubleshooting, incident ticketing, SLA compliance, and remote desktop support (RDP).
Proficient in Python, C++, Java, and JavaScript with practical knowledge of machine learning workflows using Scikit-learn and NLP techniques. Adept at root cause analysis, knowledge base documentation, and cross-functional communication in fast-paced IT environments.
I hold 52 hours of verified AWS Academy training across Generative AI, Machine Learning Foundations, and NLP.
IT & ML Self-Initiated Projects — Peer Technical Support
Galgotias University Labs
Delivered Tier-1 peer technical support: diagnosed and resolved software environment issues, IDE configuration errors, Python dependency conflicts, and OS-level incidents for cross-functional project teams following full incident lifecycle workflows.
Skills & Technologies
Curated proficiencies across IT Service Desk operations, Artificial Intelligence, software programming, and modern dev tools.
Tier-1 Service Desk, incident triage, OS administration, SLA management, and technical troubleshooting.
Scikit-learn classification models, NLP text pipelines, exploratory data analysis, and predictive modeling.
Object-oriented programming in C++, Java, and Python, alongside full-stack responsive web systems.
Git/GitHub version control, VS Code, Google Colab, AWS Academy training, and enterprise documentation.
Projects
A curated selection of projects showcasing full-stack development, AI integration, and cloud architecture.
Preview coming soon
Email Spam Detection System
A machine learning-based binary classification system engineered with Scikit-learn and NLP techniques to classify incoming emails and filter spam with high precision.
- Engineered a binary classification pipeline achieving ~95% spam detection accuracy with precision, recall, and F1-score optimization.
- Implemented full NLP workflow including tokenisation, stop-word removal, and TF-IDF feature extraction.
- Produced structured technical documentation replicating enterprise knowledge-base standards.
ML & NLP Developer
- Engineered a binary classification pipeline achieving ~95% spam detection accuracy with precision, recall, and F1-score optimization.
- Implemented full NLP workflow including tokenisation, stop-word removal, and TF-IDF feature extraction.
- Produced structured technical documentation replicating enterprise knowledge-base standards.
Preview coming soon
Traffic Accident Analysis Dashboard
An exploratory data analysis pipeline and analytical dashboard revealing high-risk traffic accident patterns and streamlining automated reporting.
- Conducted in-depth EDA on large-scale accident datasets to identify critical spatial and temporal risk factors.
- Automated data processing and reporting pipelines, reducing manual analysis effort by 40%.
Preview coming soon
OEMS – Online Examination Management System
A comprehensive web application enabling educational institutions to manage question banks, schedule exams, and evaluate student submissions automatically.
- Built a responsive full-stack system with role-based access control for students and administrators.
- Designed dynamic question bank management, timed assessment sessions, and instant automated grading.
Preview coming soon
Glimra (formerly Inspira)
A Pinterest-style AI-powered pin-sharing platform built for students in India, facilitating academic resource discovery, inspiration boards, and community collaboration.
- AI-powered content recommendations via Claude on AWS Bedrock
- OTP-based auth flow with EmailJS and social login integration
Experience & Education
A chronological view of my professional internships, academic track in AI/ML, and verified certifications.
Peer Technical Support — IT & ML Projects
Providing Tier-1 technical support, software troubleshooting, and incident lifecycle management for student teams and lab environments.
- Delivered Tier-1 peer technical support: diagnosed and resolved software environment issues, IDE configuration errors, Python dependency conflicts, and OS-level incidents for cross-functional project teams.
- Practised full incident lifecycle management — triage, root cause analysis, resolution, and structured documentation — simulating enterprise-level Service Desk ticket management workflows.
- Maintained version-controlled codebases on GitHub with structured project logs, directly replicating Service Desk change management, knowledge base creation, and audit-trail documentation practices.
Bachelor of Computer Applications (BCA) – AI & ML
No standing arrears — meets all IT industry eligibility criteria.
- Specialised curriculum covering Machine Learning, NLP, Data Structures, and Software Development.
- Completed 52 hours of AWS Academy verified training across GenAI, ML Foundations, and NLP.
- Active peer technical support contributor in lab environments resolving OS and IDE incidents.
Class XII (Senior Secondary) – PCB
Higher secondary education with strong analytical and empirical reasoning foundations.
- Developed strong scientific analytical problem-solving skills.
Class X (Secondary School Examination)
Secondary education with disciplined academic focus.
- Built early foundations in mathematics, science, and computer basics.
Certifications & Accreditations
Industry & academic credentials certified by AWS Academy and AICTE-EduSkills.
AWS Academy Graduate – Generative AI Foundations
AWS Academy Graduate – Machine Learning Foundations
AWS Academy Graduate – ML for Natural Language Processing
C & C++ Programming Training
AICTE-EduSkills Generative AI Internship
Resume
Review my professional qualifications, hands-on IT support expertise, and verified machine learning credentials.
Vinit Vaibhav Kumar
Specialising in AIML (Artificial Intelligence & Machine Learning) and intelligent systems, backed by 52 hours of AWS Academy verified AI/ML training and hands-on IT technical support experience.
Get In Touch
Have a project in mind or want to collaborate? I'd love to hear from you.