AI / ML Engineer · Ahmedabad, India

Jugrajsingh
Rajpurohit

Final-year CS undergrad specialising in AI & Machine Learning. I build computer vision systems, NLP models, and real-world deployments. Hackathon winner. Relentlessly curious.

J
Jugrajsingh
Rajpurohit
Computer Eng. · AI/ML
Silver Oak Univ. Class of 2026
8.94
CGPA / 10.0
Hackathons
2
Internships
🏆
Hackathon Winner
// About Me

I'm a final-year Computer Engineering student at Silver Oak University, specialising in AI/ML. My passion lives at the intersection of Computer Vision, Deep Learning, and real-world deployment — building systems that actually work outside the notebook. I've interned at two companies, shipped models to production, and competed at national hackathons. Currently deepening expertise in LLMs, AI APIs, and scalable MLOps.

// Technical Skills
Languages
PythonJavaScript C++CSQL
AI / ML
TensorFlowPyTorch YOLOScikit-learnOpenCV
Data Science
PandasNumPy Data CleaningRoboflow
Web & Deploy
StreamlitFlask Next.jsReact.jsNode.js
AI Domains
Computer VisionNLP Deep LearningObject Detection
Tools
Git / GitHubVS Code CloudinaryPyCharm
// Work Experience
Sahana System Limited
Artificial Intelligence Intern · Ahmedabad
Jun – Jul 2024
  • Developed a Deep Learning model for real-time car parking slot detection using computer vision to automate slot availability tracking.
  • Focused on model accuracy and real-world deployment constraints, ensuring efficient processing of live video feeds.
Computer Vision Deep Learning Video Processing Model Optimisation
Batswebs Solution
Machine Learning Intern · Remote
Dec 2023 – Jan 2024
  • Implemented various ML algorithms for predictive analysis, using Pandas & NumPy for rigorous data cleaning and manipulation.
  • Built and documented multiple data-driven projects translating theoretical ML concepts into functional prototypes.
Machine Learning Pandas NumPy Predictive Modelling
// Selected Projects
01 — Remote Sensing / Computer Vision
AI Feature Extraction
for Remote Sensing
Built a system for multi-label classification and object localisation on high-resolution satellite imagery. Utilised YOLO for detection and TensorFlow for model tuning. Deployed an interactive Streamlit visualisation interface for real-time exploration.
YOLO TensorFlow Streamlit Remote Sensing Multi-label Classification
02 — NLP / Deep Learning
Image Caption Generator
Captioning model combining CNNs for visual feature extraction and LSTMs for natural language sequence generation. Full-stack deployment on Streamlit demonstrating end-to-end AI implementation.
CNN LSTM NLP Streamlit
03 — Computer Vision
Smart Parking Slot Detection
Real-time parking lot monitoring using deep learning to detect and track slot availability from live video feeds. Designed and optimised for production-grade deployment.
OpenCV Deep Learning Video CV
// Achievements
🏆
SOUIVATHON 2025
National Hackathon
Winner · 1st Place
🥇
ODOO × AMALTHEA 2024
International Hackathon
Top 7 Finalist
Odoo Combat 2024
Hackathon
Finalist
// Education
Silver Oak University
B.Tech — Computer Engineering (AI/ML)
Aug 2022 – Jun 2026 · Ahmedabad, India
⭐ CGPA 8.94 / 10.0
Coursework
Machine Learning Deep Learning (Adv) NLP Computer Vision Data Structures Python for DS DBMS
// Currently Exploring
Large Language Models
AI APIs & prompt engineering
Low-code AI Automation
Scalable business solutions
MLOps & Deployment
Production-ready pipelines
Let's build
something great.

Open to internships, collaborations & exciting AI/ML projects. Drop me a line — I'd love to connect.