Waqas Ahmad

Senior Software Engineer

New Delhi, Delhi, India0 mo experience

Key Highlights

Proficient in Machine Learning and IOT integration.
Developed predictive systems for education and public safety.
Strong foundation in Java and Spring Boot technologies.

Stackforce AI infers this person is a Machine Learning and IOT specialist with a focus on educational and public safety applications.

Contact

Skills

Core Skills

Machine LearningIot Device Integration

Other Skills

Application ArchitectureC++Data StructuresDecision TreeDeep LearningDjangoJavaJsJspLogistic RegressionMicroservicesMongoDBMySQLNatural Language Processing (NLP)Oracle

Experience

Servosys solutions

2 roles

Senior Software Engineer

Apr 2024 – Present · 1 yr 11 mos · Noida, Uttar Pradesh, India

Software Engineer

Dec 2020 – Present · 5 yrs 3 mos · Noida, Uttar Pradesh, India

Webtek labs pvt. ltd.

2 roles

Software Engineer

Feb 2020 – Jul 2020 · 5 mos · Delhi, India

Fresher Trainee
Web Tek lab pvt.Ltd
Feb 2020 to Jul 2020 (5 months)
Here I worked on various Machine learning projects such as Placement prediction, Tactical crime analysis, IOT device integration and temperature analysis.
IOT Device Integration and Temperature Analysis
IOT Device Integration and Temperature Analysis live: https://thingspeak.com/channels/1005695 This system can be used to monitor the temperature or humidity of a particular room or place. The proposed system continuously sends data to the cloud to monitor data from anywhere. We use ML algorithm to analyze whether the temperature is reliable for medicine lab or not. Technology: Logistic Regression.
Placement Prediction System
Placement Prediction System live: https://placementprediction.herokuapp.com The main Objective of this system is to analyze previous year’s student’s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. Technology: Random Forest.
Tactical Crime Analysis
Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. Technology: Random Forest, Decision Tree

Machine LearningLogistic RegressionRandom ForestDecision TreeIOT Device Integration

Software Engineer

Feb 2020 – Jul 2020 · 5 mos · Delhi, India

Fresher Trainee
Web Tek lab pvt.Ltd
Feb 2020 to Jul 2020 (5 months)
Here I worked on various Machine learning projects such as Placement prediction, Tactical crime analysis, IOT device integration and temperature analysis. IOT Device Integration and Temperature Analysis live: https://thingspeak.com/channels/1005695 This system can be used to monitor the temperature or humidity of a particular room or place. The proposed system continuously sends data to the cloud to monitor data from anywhere. We use ML algorithm to analyze whether the temperature is reliable for medicine lab or not. Technology: Logistic Regression .
Placement Prediction System
Placement Prediction System live: https://placementprediction.herokuapp.com The main Objective of this system is to analyze previous year’s student’s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. Technology: Random Forest.
Tactical Crime Analysis
Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. Technology: Random Forest, Decision Tree
Projects.