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Software Engineer with 3+ years in Python, Java & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about leveraging programming skills to solve real-world challenges and contribute to innovative software solutions. Aiming to grow as a resourceful and adaptable software engineer. Focused on continuous learning and development to stay ahead of emerging technologies and industry trends.
SJB Institute of Technology, Bengaluru
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya PU college, Bengaluru
Pre-University Course
June 1, 2020 – May 31, 2022
Narayana e techno school, Bengaluru
SSLC (10th Grade)
June 1, 2019 – May 31, 2020
Udemy
Software Development
August 1, 2025 – November 1, 2025
India
Food Demand Prediction Food Using ML
June 25, 2026 – Present
Designed and implemented a predictive demand model using machine learning algorithms. Forecast daily food requirements by analyzing historical consumption data, attendance, weather factors, and special occasions, enabling datadriven kitchen planning.
Real-Time Criminal Activity Detection and Re-identification using Deep Learning
June 25, 2026 – Present
Designed and implemented a real-time computer vision surveillance system for criminal activity detection using deep learning models. Used YOLOv5 and CNN for real-time abnormal behavior detection on live camera feeds.
Symptom-Based Disease Prediction Using ML
June 25, 2026 – Present
Designed and implemented a machine learning-based disease prediction system that analyzes patient-reported symptoms. Leverages historical medical datasets to support early diagnosis and decision-making.
Cultural Fit Analysis
The candidate's academic projects show a focus on applying machine learning to real-world problems, which aligns with an innovative and problem-solving culture. The listed soft skills like self-learning and adaptability are positive indicators for cultural fit. However, the limited professional experience and lack of diverse project types (all academic, ML-focused) mean there's less evidence of experience in broader team environments or diverse technical challenges typical of a senior software engineer role.
Soft Skills & Operational Fit
The candidate lists problem-solving, self-learning, presentation, and adaptability as soft skills. The academic projects indicate an ability to apply theoretical knowledge to practical problems. However, the lack of professional experience beyond an internship and the academic nature of projects suggest a need for development in operational best practices and collaborative software development workflows.