Vedant Pandhare
AI Engineer specializing in machine learning, Deep learning, DevOps and MLOps with a passion for building intelligent, automation and generative AI systems.
About Me
I'm a passionate AI Engineer currently pursuing my B.Tech in Artificial Intelligence at Vishwakarma University. I specialize in developing intelligent systems that combine machine learning, automation, web technologies,DevOps and generative AI.
My experience spans from working on Drone navigation systems with object detection on edge devices to building automation with AI. I'm driven by the challenge of creating intelligent solutions that make a real-world impact.
Education
Academic Background
Vishwakarma University
B.Tech in AI
Shri H.B. Girme Junior College
HSC Science
Highlights
Key Achievements
- Published research in ICSIAIML-25
- 3x Hackathon Participant
- IoT & Embedded Systems Specialist
- Defense-grade Drone System Developer
Experience
Machine Learning Intern
WILO Mather and Platt Pumps Pvt. Ltd
- Built an Anomaly detection IoT-based system to monitor vibrations using MPU-6050 sensor.
- Engineered data pipeline with Raspberry Pi for real-time acquisition.
- Executed Flask-based web dashboard for monitoring and visualization.
- Implemented line and scatter plots for trend and anomaly detection.
AI Student Intern
Southern command, Vishwakarma university
- Developed secure AI inference pipeline for a defense-grade drone system.
- Integrated Raspberry Pi with Hailo 8L AI accelerator for edge deployment.
- Bridged hardware and AI capabilities for mission-critical tasks.
Projects
- Designed NLP pipeline to summarize and extract key insights from tender PDFs.
- Used Transformers, NER, and preprocessing techniques for entity recognition.
- A summarization model with Flask for interactive use.
- Automated extraction reduced manual document review time.
- Published a new approach to Text summarization in conference ICSIAIML – 25 (ISSN - 1951-6851)
- Trained YOLOv8 and CNN models on 10,075 annotated X-ray images.
- Detected spinal disc degenerations and diseases with high accuracy.
- Applied OpenCV for preprocessing and augmentation for various different classes of the degenerations.
- Published and presented outcomes at ICAISI-25 international conference.
- Automated extraction of education, skills, and projects from resumes.
- A NLP classification to map candidates to suitable internships.
- Reduced manual evaluation by applying ML-based allocation and recommendation system.
- Designed as a scalable multi-candidate internship recommendation system for recruiters.
- An AI-powered learning assistant for cybersecurity skill development.
- Designed agentic AI system to analyse test performance of learners.
- Recommended personalized cybersecurity courses and learning paths.
- Improved learner engagement and outcomes with adaptive feedback.
Certifications
Technical Skills
Languages
Frameworks & Libraries
AI and deep learning
Get in Touch
Feel free to reach out for collaborations or just a friendly hello