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Software Engineer with less than a year in AI/ML, Python, and IoT systems development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science and Engineering student with a strong foundation in Python, AI/ML, IoT, and web development technologies. Proven ability to design and implement innovative solutions for real-world problems, as demonstrated by projects in disaster management, agricultural prediction, and women's safety robotics. Eager to apply technical skills and problem-solving abilities to contribute to cutting-edge engineering challenges.
Presidency University
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2025
St. Anne's PU College
12th Grade
N/A – May 31, 2021
VIDYANIKETHAN English School
SSLC
N/A – May 31, 2019
Proactive Disaster Management for Fire Hazards
June 19, 2026 – Present
Aim: Strengthen workplace safety through proactive fire-risk management and training. Technology Used: Fire-alarm panels, smoke/heat detectors, emergency lighting, inspection tools. Learning Outcome: Enhanced workplace safety through proactive fire-risk assessment and training. Worked with fire-alarm panels, detectors, emergency lighting, and inspection tools.
AI-ML Based Model for Predicting Agri-Horticultural Commodities
June 19, 2026 – Present
Aim: Predict Agri-horticultural commodity prices using AI/ML for better decision-making. Technology Used: Python, R, SQL, ML algorithms, data visualization tools. Learning Outcome: Built predictive ML models using Python, R, SQL, and Scikit-learn. Analyzed historical, seasonal, and market data for forecasting.
Women Safety Patrolling Robot using Raspberry Pi
June 19, 2026 – Present
Aim: Ensure women's safety using a Raspberry Pi-based robot with real-time monitoring and emergency alerts. Technology Used: Raspberry Pi, Python, sensors, camera, motor driver, IoT communication. Learning Outcome: Built a real-time monitoring and emergency alert robot using Raspberry Pi and IoT. Implemented sensors, camera, motor driver, and alert system integration.
Python Full Stack Certification
Unknown
June 1, 2026 – Present
Published in IJSREM
IJSREM
May 1, 2025 – Present
Presented at NCAET-2025
NCAET
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a diverse interest in areas like AI/ML, IoT, and even safety management, which could indicate adaptability. The academic nature of all projects and lack of professional experience means cultural fit in a corporate setting is largely unproven. The target role is 'Software Engineer', and the projects align with entry-level software development or data science interests. The breadth of skills is reasonable for an entry-level candidate.
Soft Skills & Operational Fit
The candidate's academic projects suggest an ability to work on defined problems and apply learned technologies. The descriptions indicate a focus on practical application and problem-solving. However, without completed psychometric or English tests, it is difficult to assess logical reasoning, work attitude, stress handling, or team collaboration skills. The candidate is still pursuing their Bachelor's degree, indicating a foundational level of experience.