Munendra Yadav

Munendra Yadav

AI/ML Engineer | Generative AI • Computer Vision • NLP | IBM SkillsBuild Intern | Researcher | Open to Opportunities | “I don’t just study AI — I research it, build it, and deploy it.”

Amroha, India
2roles
57skills
4education
7credentials

About

I'm Munendra Yadav, a final-year Computer Science Engineer specializing in AI & ML, with hands-on experience in Generative AI, Computer Vision, and NLP. During my internship at IBM SkillsBuild, I worked as an AI Trainee where I deepened my expertise in Generative AI, Python libraries, and API integrations — getting a real taste of how enterprise-grade AI solutions are designed and delivered. Beyond the internship, I've channelled my curiosity into research and open-source building. I've authored a research paper and maintain GitHub projects that reflect my passion for turning ideas into working AI systems. My focus areas: 🔹 Generative AI & LLMs 🔹 Computer Vision 🔹 Natural Language Processing I'm currently seeking full-time roles or internships in ML Engineering, Applied AI, or AI Research — where I can contribute meaningfully from day one. I believe the best engineers don't just understand AI — they build with it, question it, and push it further. 📬 Let's connect if you're working on something exciting in the AI space — or just want to geek out over the latest in GenAI! "While most ML engineers go deep in one domain, I've deliberately built breadth across GenAI, CV, and NLP — because the most powerful AI systems combine all three."

Experience

IBM SkillsBuild Internship Trainee

IBM

2 mos

- Successfully completed the IBM SkillsBuild MOOC Internship Program focused on [e.g., digital skills, data analysis, cloud computing]. - Gained hands-on experience with IBM tools and platforms such as [mention if any: IBM Cloud, Watson AI, etc.]. - Developed and presented a capstone project addressing [mention the topic/problem you solved if any]. - Improved skills in problem-solving, communication, and team collaboration. - Earned a certificate upon successful completion.

Software Engineering Virtual Intern

IBM SkillsBuild

Jun 2025 – Jul 2025 · Remote

Built a multi-language translator using Generative AI with real-time language detection and switching across multiple languages. Gained exposure to IBM Cloud, cybersecurity fundamentals, and data analytics workflows. Completed a certified program covering cloud computing, AI tooling, and professional communication; earned an IBM-verified certificate of completion.

Education

Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

Bachelor of Technology - BTech, Computer Science

Sep 2022 - Aug 2026

Relevant coursework: Data Structures & Algorithms, Object-Oriented Programming, Computer Networks, Operating Systems, Database Management Systems, and Machine Learning.

MIT INSTITUTE OF TECHNOLOGY

Bachelor of Technology - BTech, Computer science (AI ML)

2022 - 2026

Victoria public school

Intermediate, Science

[object Object]

Central Board of Secondary Education (CBSE)

Senior Secondary, Physics, Chemistry, Mathematics (PCM)

Apr 2021 – Apr 2022

Skills

Microsoft Power BIPython (Programming Language)Adobe PhotoshopHTMLJavaGitDatabasesgenaiNumPyScikit-LearnProject ManagementDesign Thinkingibm toolsProgramming LanguagesComputer EngineeringMarketingProduct ManagementData AnalysisProgrammingSoftware DevelopmentEnglishAnalytical SkillsData ScienceMachine LearningNatural Language Processing (NLP)Object-Oriented Programming (OOP)Pattern RecognitionInsight GenerationComputer ScienceArtificial Intelligence (AI)EngineeringResearch SkillsSoft SkillsOrganization SkillsProblem SolvingManagementLeadershipCommunicationPythonCC++JavaScriptCSSPandasTkinterStreamlitHTML5CSS3Data Structures & AlgorithmsComputer NetworksTCP/IPObject-Oriented ProgrammingDBMSGitHubJupyter NotebookVS CodeIBM Cloud

Projects

Multi-Language Translator

Developed a desktop GUI application using Python and Tkinter supporting real-time translation across multiple languages through Google Translate API integration. Implemented automatic language detection and dynamic language switching with clean, modular, and well-documented code.

Wallet Credit Scoring App

Built an end-to-end credit risk prediction web application using Python, Streamlit, scikit-learn, and Pandas. Trained machine learning models on preprocessed financial datasets, designed an interactive UI for real-time inputs and predictions, and applied feature engineering to improve accuracy and interpretability.