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M
Mayank C.

Mayank C.

AI & Backend Developer (Parul University – VMC Collaboration)

India flagVadodara, India

Key Skills

Software

Other

Top Subject Matter

Civic technology
road pothole detection

Top Data Types

ImageImage

Top Task Types

Object DetectionObject Detection
ClassificationClassification

Freelancer Overview

AI & Backend Developer (Parul University – VMC Collaboration). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Parul University (2027) and Higher Secondary, St. Francis Hr. Sec. School (2023). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Labeling Experience

AI and Backend Developer - Parul University

ImageImageClassificationClassificationObject DetectionObject Detection

Worked as an AI and backend developer for a university-industry civic technology collaboration focused on computer vision and AI-driven civic analytics. Developed a YOLOv8-based pothole detection model and exposed results through a FastAPI REST endpoint. Built a LangChain-based NL-to-SQL system with schema-aware prompting to translate administrator queries into structured database outputs.• Fine-tuned YOLOv8 using a manually collected and annotated pothole dataset and produced bounding-box coordinate predictions. • Implemented FastAPI endpoints for image input and returning annotated outputs. • Designed an NL-to-SQL agent with schema-aware prompting and returned structured civic database results. • Managed end-to-end pipeline work including data collection, model training, API development, and institutional review submission.

2025 - 2026

AI & Backend Developer (Parul University – VMC Collaboration)

OtherImageImageObject DetectionObject Detection

Fine-tuned a YOLOv8 object detection model using a manually collected pothole image dataset with annotated targets. Built an image-to-bounding-box API that returns coordinates and annotated output for road images. Owned the end-to-end workflow from dataset creation through model training and API integration for civic technology review. • Data preparation with manual annotation for pothole imagery • Training and evaluation of a YOLOv8 detector • FastAPI inference endpoint producing bounding-box coordinates • Submission of the full system as part of a university-industry civic collaboration.

2025 - 2026

Education

P

Parul University

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2023 - 2027
S

St. Francis Hr. Sec. School

Higher Secondary, Higher Secondary Education

Higher Secondary
2021 - 2023

Work History

P

Parul University

AI and Backend Developer

Vadodara
2025 - 2026