About Developer

Professional Summary:

Machine learning engineer specializing in computer vision and vision ai systems, with hands-on experience building and deploying yolo-based detection models, defect classification pipelines, and real-time mobile ai systems. Proven ability to own ml features end-to-end from data and model training to production deployment in startup environments. 

SKILLS:  

• CS- Python, Java, Kotlin, Data Structures & Algorithms. 

• Mobile Dev- Android development, UI/UX, Jetpack Compose, ML Kit. 

• Artificial Intelligence- Machine Learning, Computer Vision, Deep Learning, Neural Networks, LLMs, Object Detection, Image Classification, Real-time Vision Systems

• Frameworks- PyTorch, TensorFlow, Keras, YOLOv8, Torch Vision, OpenCV, MM Detection, NumPy, Pandas, Scikit-learn, Albumentations

• Databases- SQLite, Room Database, Firebase Realtime Database, Supa base, RESTful APIs. 

•  Tools & Platforms- GitHub, Android Studio, AWS (EC2, S3), GCP, Docker, Flask, Fast API. 

• Core Electronics- Analog & Digital Circuits, Electronic Devices, Embedded Systems. 

• Finance- Stock’s Fundamental & Technical analyses with Candle Stick Patterns. 

PROJECTS:

1. Vehicle Maintenance App with AI Chatbot using Vision AI (Dr. UAV) || Duration – 1 Months 

• Technology- Python, Kotlin, Android, Computer vision, Machine learning || Duration- 1 Months.

• Role- App & AI algorithm programmer as well as product researcher Designed a Servicing app, which predict & notify the next servicing date with help of image analysis of vehicle and internal sensors information. 

• Github Link- https://github.com/raj04h/DR_UAV 

2. Precision Landing & Ground Vision based UAV MRO System | (R&D Project) || Duration – 8 Months 

• Technology – Python, Computer Vision, Deep Learning, YOLO, OpenCV, CCTV Vision, ML Pipelines.

• Role – ML & Computer Vision Engineer Designed a ground-vision based MRO (Maintenance, Repair & Operations) system using CCTV cameras to automate UAV hub management. Built vision pipelines for drone detection via QR code, body-part and defect annotation, and pre-flight / post-flight inspection. Implemented landing-site analysis to validate safe landing zones and suggest alternate coordinates. Developed lifecycle and maintenance prediction logic by correlating flight history, environmental conditions, and visual degradation trends, enabling predictive maintenance and reduced human inspection errors. 

3.  Vision-based Anti-Drone Radar & Target Tracking System | (R&D Project) || Duration – 3 Month 

• Technology – Python, Computer Vision, Object Detection, Motion Tracking, Deep Learning.

• Role – Computer Vision & ML Engineer Designed a camera-based anti-drone “radar” system using high-speed aerial vision instead of RF sensors. Developed concepts for real time drone detection, classification, trajectory estimation, and target locking using vision data. Proposed logic to identify fast moving aerial targets (>100 km/h), classify drone types, and trigger alerts or interception guidance for defensive UAVs. Focused on vision only ISR and anti-drone surveillance use cases. 

4. UAV Disaster Surveillance & ISR System | (R&D Project) || Duration – 7 Month.

• Technology – Python, Computer Vision, Deep Learning, UAV Imaging, Real-time Video Analytics.

• Role – ML & Computer Vision Engineer Designed an ISR (Intelligence, Surveillance, Reconnaissance) system using UAV and ground-based cameras for disaster response and surveillance. Built concepts for real-time video analysis to identify stranded civilians, blocked routes, and critical zones during floods or disasters. Enabled live visual intelligence streaming to control centers for search & rescue coordination and situational awareness, with extendibility to anti-drone alert systems. 

5. Bluetooth Controlled Robotic Vehicle || Duration – 3 Months   

• Description: Developed an All-terrain robotic vehicle controlled via Bluetooth using a mobile app for directional movements and task execution.  

• Report: Robotic Vehicle

6. Solar Wireless Electric Vehicle Charging System || Duration – 3 Months 

• Description: Designed a solar-powered system for wireless electric vehicle charging. 

•  Report: EV Charging System

Details-  

• Technology: Semiconductor device-based circuit and IOT  

• Team Project: 4 members  

• Role: As a Circuit Designer and As a Team Leader 

7. AI Chat Bot Project (Luna) (May 24 – Jun 24) 

• Description: Developed a chatbot that integrates Gemini API for generating responses fetches thelatest news, and provides a music playlist and other important tasks like date and time, etc.  

• Link-AI Luna 

8. Android App (Hub) ()  

• Description: Developed an app that integrates Gemini API for generating responses and fetches latest news, important tasks like calculator, weather updates, PDF reader, Scanner, Markets Updates, etc.  

• Play Store Link: Hub app 

9. Drug Discovery App Using ML (Nov 24 – ongoing)  

• Description: Designed a ML android app models to predict drug-target interactions, assess drug efficacy and safety, and analyze biological and chemical data. 

• GiltHub Link- Drug_Effectiveness 

10. Plant Disease Detection App Using CNN (Nov 24 – ongoing)  

• Description: Developed a mobile application that utilizes CNN and Deep learning algo to detect plant diseases from leaf images. The app provides accurate diagnosis and actionable recommendations to farmers, enhancing crop health and productivity. 

• Link- Plant_Disease 

Details-  

• Technology: Python, Gemini API, News API, RESTful APIs, Room Database, Retrofit request.  

• Role: Lead Developer, responsible for integrating APIs, writing the main script.

Personal details: 

1. Profession- Interdisciplinary Engineer 

2. Roles And Responsibilities-

• Team Leader for project work. 

• Program Coordinator in School's cultural Fest. 

3.  Extracurricular-

• Awareness about many geopolitical views & civics.

4. Hobbies- 

• Geographical and Political News Reading  

• Cycling, Planting, Playing Games.

5. Languages- Hindi, English