Data and ML Thinking
Data analysis, feature engineering, predictive modeling, NLP, and signal-processing workflows for practical decision support.
AI research meets product engineering
Gulmini Pradhan
I build across data analysis, machine learning, backend development, IoT systems, automation, and signal processing, turning messy real-world problems into working technical solutions.
Current Focus
AI Developer at NEMA AI
Research Direction
Applied ML across IoT, signals, and intelligent systems
Systems Range
AI, IoT, IAM, automation, and cloud tools
Signature Strength
A builder who can analyze data, design systems, and ship intelligence.
Embedded Intelligence
IoT systems that combine sensors, microcontrollers, BLE, OCR, and real-time processing into end-to-end smart environments.
Backend and Automation
APIs, Python services, workflow automation, identity access systems, and enterprise tooling that make models usable in real operations.
Selected Projects
Work that feels useful beyond the prototype.
These projects show the range I like most: AI that touches real contexts, from safer inboxes and assistive navigation to workforce planning.
AI for Emotional Manipulation Detection in Cyber Attacks
Built a web application that detects emotionally manipulative phishing emails by combining phishing classification with sentiment analysis. The system fetches Gmail messages in real time and flags emotional triggers such as fear, urgency, and pressure.
Outcome: a smarter defense layer focused on human vulnerability, not only technical indicators.
Tactile Vision
Designed a wearable indoor navigation aid for visually impaired individuals, providing real-time audio guidance for independent movement through indoor spaces.
Enhanced Employee Leave Management System
Developed an ML-driven leave forecasting system using historical data to predict employee leave patterns and support better workforce planning.
Research
Published across smart infrastructure, applied ML, and edge intelligence.
2025
Scientific Reports
View DOI
Advanced IoT-Integrated Parking Systems with Automated License Plate Recognition and Payment Management
Raspberry Pi, ESP32, BLE, and OCR based parking system with real-time slot tracking, license plate recognition, and automated billing.
2025
IEEE Xplore
View DOI
AI-Enhanced EEG-Based Personalized Mental Health Solution
Machine-learning based analysis of EEG signal features using regression models, signal processing, and feature extraction.
2023
Springer
View DOI
Small-Footprint Keyword Spotting in Smart Home IoT Devices
Lightweight keyword spotting for smart home edge devices, optimized for accurate and low-latency appliance monitoring.
Experience
Industry, research, and enterprise exposure in one path.
My work history has given me a rare blend: AI model development, academic research discipline, embedded systems curiosity, and enterprise workflow awareness.
AI Developer, NEMA AI
Developing machine-learning workflows for predictive analysis, pattern recognition, and data-driven insights.
Process Specialist, Hewlett Packard Enterprise
Worked with Salesforce and Genesys for customer operations, workflow management, and service efficiency.
IT Intern, Johnson Controls
Supported IAM workflows, Active Directory provisioning, ServiceNow operations, Saviynt exposure, and PowerShell automation.
Research and AI Internships
Worked with NEMA AI, NIT Rourkela, SERB VRITIKA, and NALCO on data analysis, signal processing, IoT systems, Arduino prototypes, and ML forecasting.
Toolkit
Comfortable from model logic to system workflows.
AI and Data
Machine Learning, Deep Learning, Predictive Modeling, NLP, Signal Processing, Feature Engineering, Data Analysis
Programming
Python, C++, SQL, Flask, FastAPI, REST APIs, Git, Postman, System Design
Systems
IoT Systems, Arduino, Raspberry Pi, ESP32, Active Directory, ServiceNow, PowerShell Automation
Platforms
AWS, GCP, Salesforce Service Cloud, Genesys, Identity Access Management
Leadership and Identity
Technical communities, classical discipline, and a creative inner life.
At IEEE Photonics Society VITC, I served as Operations Head, General Secretary, and Advisory Board Member between 2022 and 2025, helping coordinate student-led technical community work.
Outside engineering, I am an Odissi dance graduate, poetry writer, reader, traveler, and cultural explorer. That creative side shapes how I think about human-centered technology.
Contact