| ☁️ Oracle Cloud AI Foundations | 🤖 Stanford ML (DeepLearning.AI) | 🎨 Adobe Hackathon Round 1 | ☁️ Google Cloud Agentic AI Day |
|---|---|---|---|
| OCI 2025 Associate | Supervised ML · 2024 | Qualified · 2025 | Participant · 2025 |
╔══════════════════════════════════════════════════════════════════════╗
║ ⬡ A D I T Y A . O S — SYSTEM BOOT SEQUENCE ⬡ ║
╠══════════════════════════════════════════════════════════════════════╣
║ ║
║ [████████████████████████████████████] 100% INIT COMPLETE ║
║ ║
║ > Java Full Stack Engine v3.0 . . . . . . . [ OK ] ║
║ > Python + AI/ML Runtime v2.1 . . . . . . . [ OK ] ║
║ > Raspberry Pi GPIO Interface v1.4 . . . . . . . [ OK ] ║
║ > OpenCV Computer Vision Core v4.8 . . . . . . . [ OK ] ║
║ > Spring Boot Backend Server v3.2 . . . . . . . [ OK ] ║
║ > MySQL Database Engine v8.0 . . . . . . . [ OK ] ║
║ > REST API Gateway v1.0 . . . . . . . [ OK ] ║
║ > Git Version Control v2.4 . . . . . . . [ OK ] ║
║ ║
║ ✦ ADITYA.OS ONLINE ✦ ALL SYSTEMS NOMINAL ✦ READY TO BUILD ✦ ║
╚══════════════════════════════════════════════════════════════════════╝
name : Aditya Mallick
alias : AdityaMallick01
location : Bhubaneswar, Odisha, India 🇮🇳
university : SOA University — B.Tech CSE
cgpa : 9.20 / 10.0 ← Top of class
year : Third Year (2023–Present)
what_i_build:
- Robotic arms that see + weigh + sort objects autonomously
- Spring Boot REST APIs with JWT auth & JPA relationships
- Live-streaming surveillance robots controlled via browser
- AI pipelines fusing sensor data + computer vision
currently_learning:
- React.js · Docker · Kubernetes
- YOLO real-time detection · CNNs
- LLM APIs & Agentic AI workflows
status : 🟢 Actively seeking internships (Summer/Fall 2025)
contact : adityamallick002@gmail.com
[ COMPUTER VISION · WEIGHT SENSING · ROBOTIC AUTOMATION ]
The problem: Manual object sorting is slow, error-prone, and doesn't scale. This system sees, weighs, and places objects — fully autonomously.
| Component | Role |
|---|---|
| 📷 PiCamera2 | Real-time object capture |
| 🧠 OpenCV | Shape detection + classification |
| ⚖️ HX711 (24-bit ADC) | Precision weight sensing |
| 🦾 PCA9685 (I²C) | 6-DOF robotic arm control |
| 🍓 Raspberry Pi | Central control unit |
Key outcomes:
- 🔬 Dual-parameter sorting — shape + weight classified in a single pipeline
- 📡 Sub-second image processing latency with real-time feedback
- ⚙️ Calibrated load cell achieving gram-level precision
- 🦾 Smooth automated pick-and-place via I²C servo control
[ IoT · FLASK BACKEND · LIVE VIDEO STREAMING ]
The problem: Physical surveillance requires someone to be on-site. This robot streams live video and accepts control commands from any browser on the network.
| Component | Role |
|---|---|
| 🌐 Flask Backend | Web server + MJPEG streaming endpoint |
| 📹 OpenCV | Video capture + frame encoding |
| 🕹️ GPIO / L298N | Motor driver interface |
| 📡 Wi-Fi | Remote navigation channel |
Key outcomes:
- 📺 Stable MJPEG video stream accessible from any device on LAN
- 🌐 Custom control dashboard with bidirectional motor control
- 🔄 Direction switching with responsive low-latency web controls
[ JAVA FULL STACK · SPRING BOOT · MYSQL · JPA ]
The problem: A well-architected backend isn't just CRUD — it's clean separation, safe exposure, and scalable design. This project demonstrates production-grade patterns.
| Layer | Technology |
|---|---|
| 🟢 Framework | Spring Boot 3.2 + Dependency Injection |
| 📊 ORM | Spring Data JPA + Hibernate |
| 🗄️ Database | MySQL 8.0 |
| 🔄 API Layer | DTO Pattern + REST CRUD + Swagger |
Key outcomes:
- 🔗 Many-to-Many student-course relationships via JPA join tables
- 📑 Pagination + search via Spring Data + full Swagger/OpenAPI docs
- 🔒 DTO projection prevents accidental entity data exposure
- 🏗️ Designed to extend with Spring Security + JWT (in progress)
|
|
✅ Completed·🔄 In Progress·📌 Coming Next
class AdityaMallick:
def __init__(self):
self.name = "Aditya Mallick"
self.university = "SOA University, Bhubaneswar"
self.cgpa = 9.20
self.certs = ["Oracle OCI AI Foundations 2025", "Stanford ML · DeepLearning.AI"]
@property
def currently_building(self):
return [
"Spring Boot microservices with Spring Security + JWT",
"Deep Learning pipeline for real-time object detection (YOLO)",
"AI-integrated REST APIs bridging Python inference + Java serving",
"Advanced IoT automation with multi-sensor fusion on Raspberry Pi",
]
@property
def currently_learning(self):
return [
"React.js — Full Stack frontend integration",
"Docker & Kubernetes — containerized deployments",
"LLM APIs & Agentic AI — the next frontier",
"CNNs + YOLO + SAM — advanced Computer Vision",
]
@property
def open_to(self):
return [
"Internships (SDE / AI / ML / IoT)",
"Open Source Contributions",
"Research Collaborations",
]
def contact(self):
return {
"email" : "adityamallick002@gmail.com",
"linkedin" : "linkedin.com/in/aditya-mallick-b76a64376",
"portfolio": "adityamallick01.github.io/aditya-mallick-portfolio",
}
def __repr__(self):
return "Building the future, one commit at a time. 🚀"
aditya = AdityaMallick()
print(aditya)
# → Building the future, one commit at a time. 🚀