Tithi Dangarwala
@tithidangarwala
B.Tech graduate specializing in AI-driven solutions for industrial applications.
What I'm looking for
I am a B.Tech graduate in Computer Engineering with hands-on experience in deploying AI-driven solutions in industrial settings. My specialization in computer vision and machine learning has led to successful implementations such as safety harness detection, posture analysis, and welding defect recognition. I am passionate about leveraging AI for real-world impact and enhancing workplace safety and efficiency.
During my internships at Larsen and Toubro Limited, I developed models for detecting PPE violations and automating welding defect detection, significantly improving production quality and compliance. My projects, including a dynamic website for web scraping and summarizing, showcase my ability to integrate advanced technologies like Python, OpenCV, and various AI frameworks to solve complex problems.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
Larsen and Toubro Limited
Jan 2025 - Present (5 months)
Improved workplace compliance by developing models for detecting PPE violations and vehicle detections in construction sites. Enhanced production quality by automating welding defect detection, reducing manual inspection time and errors.
Machine Learning Intern
Larsen and Toubro Limited
May 2024 - Present (1 year 1 month)
Developed high-precision safety harness detection models using multiple architectures like Mask R-CNN, Grounding DINO, YOLOv7, YOLOv8, and YOLOv8world. Improved posture detection accuracy with YOLOvPose, enabling proactive ergonomics monitoring and reducing injury risks.
Education
Degrees, certifications, and relevant coursework
Pandit Deendayal Energy University
B.Tech. in Computer Engineering, Computer Engineering
Grade: 9.46 CGPA
Activities and societies: President of Cube-i-Cult – The Cubing Club (Aug 2022 – May 2023); Inventory & Documentation Head of Cretus – The Robotics Club (Aug 2023 – May 2024).
Pursued a Bachelor of Technology in Computer Engineering, achieving a CGPA of 9.46. Gained hands-on experience in deploying AI-driven solutions in industrial settings, specializing in computer vision and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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