Ashul Yadav
@ashulyadav
AI/ML engineer building accurate, production-ready models that improve predictive performance.
What I'm looking for
I am an AI/ML engineer with hands-on experience developing neural-network and classical ML solutions that improved predictive accuracy by over 20% and reduced noise-related errors. I design, train, and deploy models using Python, TensorFlow, scikit-learn, and supporting libraries, and I apply strong data-cleaning and feature-engineering practices to drive robust generalization.
I have delivered projects from heart-disease prediction to last-mile delivery optimization, and I leverage visualization and deployment tools to turn models into impactful production outcomes. I combine technical proficiency with logical problem solving and a results-oriented mindset to solve complex AI challenges.
Experience
Work history, roles, and key accomplishments
Machine Learning Project
Personal Projects
Jan 2024 - Oct 2025 (1 year 9 months)
Implemented a neural-network heart disease predictor (Jan 2024–Sep 2024) and a last-mile delivery optimization solution (Apr 2025–Oct 2025), delivering improved accuracy and route efficiency through hyperparameter tuning and evaluation.
AI/ML Engineer
Self Employed
Developed and deployed ML/DL solutions including a heart disease prediction model and a last-mile delivery optimizer, improving predictive accuracy by over 20% and reducing noise-related errors significantly.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology, Computer Science and Engineering
2019 -
Grade: 6.5 CGPA
Activities and societies: Designed and hosted a full-fledged website for a local real estate business; participated in programming and ML projects.
Pursuing Bachelor of Technology in Computer Science and Engineering with a current CGPA of 7.2.
Woodbine Gardenia School, Kanpur
Senior Secondary Certificate, Senior Secondary School
2016 - 2018
Grade: 70%
Completed senior secondary schooling at Woodbine Gardenia School, Kanpur with 70% marks.
Delhi Public School, Kanpur
Secondary School Certificate, Secondary School
2014 - 2016
Grade: 9.8 CGPA
Completed secondary school education at Delhi Public School, Kanpur with a 9.8 CGPA.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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