Problem-first thinking
I start with a clear objective, then map the technical path needed to make it useful, measurable, and reliable.
AI / ML ENGINEER · OPEN TO INTERNSHIPS
Erick
Pradhan
I build practical AI, data, and software systems with a strong focus on real-world problem solving, automation, and intelligent product thinking.
“That's what she said!” — Michael Scott
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ARTIFICIAL INTELLIGENCE × MACHINE LEARNING × SOFTWARE ENGINEERING × CLOUD × DATA × IoT ×
01HOW I BUILD
I work across AI, data, software engineering, and connected systems to turn ideas into practical tools.
AI and data
My work blends machine learning, data analysis, and intelligent automation with a focus on real-world application.
Systems that work
I enjoy building connected systems, APIs, dashboards, and edge hardware projects that solve real operational problems.
01SELECTED SYSTEMS
Built to solve problems, not just demonstrate frameworks.
01 / IOTFIELD SYSTEM
MOIST
TEMP
IoT · SMART AGRICULTURE
IoT Smart Agriculture
An IoT-based smart agriculture system using Raspberry Pi and Arduino Uno to monitor soil moisture and environmental conditions in real time. It combines sensor data collection, monitoring, and automated irrigation to support water-efficient crop management.
- Monitors soil moisture and environmental conditions
- Uses Raspberry Pi and Arduino Uno for system coordination
- Supports practical irrigation decisions in a field environment
PythonArduino UnoRaspberry PiIoT
02 / DATAANALYSIS
JANMARMAYJULSEP
DATA ANALYSIS · PYTHON
Diwali Sales Data Analysis
An end-to-end exploratory analysis of Diwali sales data that identifies customer behaviour, demographic trends, product preferences, and regional sales patterns. The work includes cleaning, feature engineering, statistical testing, and visualisations.
- Explores customer and sales trends across product and demographic segments
- Applies Python data analysis workflows with pandas and visualisation tools
- Supports actionable business recommendations from the data
PythonPandasNumPyMatplotlibSciPy
02ABOUT THE ENGINEER
“I like turning
I like turning
complex ideas
into working systems.
I'm Erick Pradhan, an undergraduate BSc (Hons) Computing with Artificial Intelligence student at Islington College, affiliated with London Metropolitan University. I am pursuing opportunities as an AI/ML Engineer where intelligent models meet useful software.
My work spans machine learning, data analysis, generative AI, APIs, cloud technologies, full-stack development, and physical computing. I learn by building — from academic projects and prototypes to experiments that can become practical products.
01Build
first
first
02Learn
deep
deep
03Ship
clean
clean
03TECHNICAL STACK
A growing toolkit for intelligent, connected software.
AI / ML
Machine LearningGenerative AILLM APIsAI AutomationData AnalysisEngineering
PythonJavaJavaScriptSQLREST APIsReact.jsNode.jsData / Cloud
MySQLMongoDBSupabaseDynamoDBAWSDockerSystems
Git / GitHubLinux / WSLRaspberry PiArduino UnoIoTAI / MLFOCUS
Software EngineeringBUILDING
Cloud & SystemsGROWING
04JOURNEY
EDUCATION
BSc (Hons) Computing with Artificial Intelligence
Studying computing, AI, software engineering, and applied intelligent systems at Islington College in affiliation with London Metropolitan University.
2024 — PRESENTEXPERIENCE
Mathematics & English Tutor
Planned lessons, assessed Grade 9 and Grade 10 student progress, and provided individual support that promoted stronger academic performance in a positive learning environment.
JUN 2025 — SEP 2025CERTIFICATIONS
AWS Academy Learning
Completed AWS Academy Cloud Foundations, Data Engineering, Machine Learning Foundations, and Machine Learning for Natural Language Processing.
DEC 202405AI LAB / EXPERIMENTS
Where unfinished ideas become prototypes.
$ system.scan()
→ 4 active research slots detected
01LLM / RAGKnowledge systemsEXPLORING
02AI AUTOMATIONAgentic workflowsEXPLORING
03COMPUTER VISIONVisual intelligenceQUEUED
04EDGE AIIoT + intelligenceQUEUED
$ await next_breakthrough()_
06 / CVWant the full
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07CONTACT
Let's build something
intelligent.
Open to internships, collaborations, research conversations, and technical opportunities where AI, data, software engineering, and systems thinking can create clear value.