Hello, I'm

Munsif Khan

AI & Machine Learning Engineer

AI & Machine Learning | Web Development | IoT Solutions | Data Analytics | RF SSV Reporting

Munsif Khan

About Me

Software Engineering graduate specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Data Analytics. Skilled in Python, data processing, machine learning pipelines, and AI-powered application development. Experienced in developing projects such as YouTube Doctor, an AI-powered YouTube channel analysis application, and GreenVision, an AI-IoT-based environmental monitoring system. Also experienced in data mining and RF telecom SSV reporting. Passionate about building scalable, practical AI solutions and developing end-to-end applications from data processing and model training to deployment.

Technical Skills

Languages

  • Python

Data

  • SQL

Machine Learning

  • TensorFlow

Computer Vision

  • OpenCV
  • YOLOv8

AI / LLM

  • LLMs
  • RAG

Web

  • Next.js

Featured Projects

Green Vision

Green Vision

AI-driven environmental and security monitoring for smart parks.

PythonTensorFlowYOLOOpenCV
View project
SQLite RAG AI Agent

SQLite RAG AI Agent

Natural-language querying over SQLite databases using LLMs and retrieval-augmented generation.

LLMsRAGReactAI Agents
View project
Pneumonia Detection

Pneumonia Detection

Medical AI system for chest X-ray analysis and pneumonia detection.

YOLOv8Computer VisionMedical AIOpenCV
View project

Professional Experience

Experience

Data Mining Intern

GAO Tek Inc.

Remote data mining internship contributing to analysis, preprocessing, and pattern extraction tasks.

Jun 2026 – Sep 2026
Experience

Data Analytics Intern

Oasis Infobyte

Completed a fellowship internship focused on orientation and hands-on application of data analytics concepts through guided projects.

Jun 2026
intern

Machine Learning Intern

Ezitech Institute

Delivered multiple end-to-end machine learning projects, including prediction systems and a SQL RAG system.

View experience letter
Jun 2025 – Sep 2025
intern

Machine Learning Intern

Cognifyz Technologies

Worked on data-driven tasks including feature engineering, model training, evaluation, and insight generation.

View experience letter
Jan 2025 – Feb 2025

Certifications & Learning

Machine learning

Ezitech institute

Machine learning

2025

Successfully completed Machine Learning training at Ezitech Institute, gaining practical knowledge of machine learning concepts, data preprocessing, exploratory data analysis, feature engineering, model training, evaluation, and predictive analytics. Developed hands-on experience with Python and popular machine learning libraries to build, evaluate, and improve models for real-world applications.

NFTP Technical

NFTP

NFTP Technical

2024

Successfully completed Technical Domain Training under the National Freelance Training Program (NFTP), gaining practical knowledge of web development, technical skills, and industry-relevant tools. Developed an understanding of website development fundamentals, problem-solving, and applying technical concepts to real-world projects, strengthening my foundation for professional growth in the software development field.

Smart IOT Technology

Navticc

Smart IOT Technology

2025

Successfully completed the Smart Internet of Things (IoT) certification through NAVTTC (National Vocational and Technical Training Commission). Gained foundational knowledge of IoT architecture, smart sensors, microcontrollers, device connectivity, data acquisition, and real-time monitoring. Developed an understanding of integrating hardware and software to build smart, connected systems for automation and intelligent applications.

Python for Data Science, AI & Development

IBM

Python for Data Science, AI & Development

2025

Practitioner-level certificate in data science foundations and applied analytics.

 Machine Learning

Cambridge , UniAthena

Machine Learning

2024

Successfully completed the Basics of Machine Learning Algorithms certification on 13 August 2025. The course was developed and delivered by UniAthena in partnership with Cambridge International Qualifications, UK. Gained foundational knowledge of machine learning concepts, supervised and unsupervised learning, common ML algorithms, model training, and data-driven prediction techniques.

 DATA ANALYTICS AND BUSINESS INTELLIGENCE

DigiSkills.pk

DATA ANALYTICS AND BUSINESS INTELLIGENCE

2024

Completed the Data Analytics and Business Intelligence certification through DigiSkills.pk, gaining practical knowledge of data collection, cleaning, analysis, visualization, and business reporting. Developed skills in interpreting data, identifying trends, generating actionable insights, and supporting data-driven decision-making using analytical tools and techniques.

Education & Credentials

Academic

2022 – 2026

BSc Software Engineering

University of Malakand

Graduated with a focus on software engineering and applied AI systems.

Achievements & Recognition

Awards & Achievements

Participation

2026

Received a Certificate of Appreciation for participating in the 25th Foundation Week celebrations, recognizing my involvement and contribution to the event. This experience reflects my commitment to active participation, teamwork, and personal and professional development.

Awards & Achievements

Appreciation

2026

Participated in the Pakistan Youth Development Council Summit 2026, gaining valuable insights into youth leadership, personal development, innovation, and community engagement. The experience provided an opportunity to connect with young leaders, exchange ideas, and strengthen my commitment to using technology and innovation to contribute to Pakistan’s development.

Professional Documents

Resume

AI Engineer CV

2026

Updated resume for AI and machine learning engineering opportunities.

Recent Insights

Blog

Designing AI Portfolio Systems

2026-07-01

A practical look at building intelligent, user-friendly portfolio experiences with real-world data flows.

Contact

Let's build something meaningful.

I'm open to AI engineering, machine learning, and data-driven product opportunities.