
Software Engineer with 1+ years in Full Stack Development & AI/ML
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Assessing your cultural and operational fit
B.Tech graduate in Computer Science Engineering with practical experience in software development,data analysis, data structures, algorithms, and computer networks. Skilled in problem-solving and teamwork through hands-on projects and internships. Driven to leverage technology for real-world solutions and eager to grow in the tech industry.
APJ Abdul Kalam Technological University
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – June 30, 2024
St Mary's HSS Manarcadu
Higher Secondary School · PCMBs
June 1, 2018 – May 31, 2020
Girideepam Bethany Central School
Secondary School
N/A – May 31, 2018
LKQ India Private Limited
Software Developer
February 1, 2025 – Present
Bengaluru, Karnataka, India
NextGenPro
Python Machine Learning Intern
April 1, 2024 – May 1, 2024
Cochin, Kerala, India
AEROCAST - Air Quality Prediction using Python Machine Learning
February 1, 2023 – May 1, 2023
Developed a predictive modeling system to forecast Air Quality Index (AQI) using advanced machine learning algorithms. Implemented and compared multiple ML models including Random Forest, Multi-Layer Perceptron (MLP), and Long Short-Term Memory (LSTM) networks. Achieved the highest model efficiency with Random Forest, leading to its selection for final deployment due to its superior accuracy and interpretability. Performed extensive feature engineering and hyperparameter tuning to optimize model performance. Visualized results using Python libraries and provided actionable insights for environmental policy planning. Created complete documentation for end-users and collaborated in presenting the model to stakeholders.
TOKA - Token Generating Platform using Java
February 1, 2022 – May 1, 2022
Developed a Token generating system with expected waiting time and queue number using java. The objective is to enable the customers to search and join queues on mobile according to their comfort. Customers can receive tokens, updates on the status in the queue along with expected wait times, currently serving token number and other details on their mobile.
Cultural Fit Analysis
The candidate's academic projects (AEROCAST, TOKA) show initiative and a practical application of learned skills. The internship at NextGenPro and the upcoming role at LKQ India Private Limited indicate a drive for professional growth and a willingness to engage with diverse technical challenges. The breadth of technologies listed (Python, Java, ML, web frameworks, databases) suggests adaptability and a broad interest in software engineering, which aligns well with a dynamic work environment. The academic activities also point to engagement and leadership potential.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and experience details. Their involvement in academic activities and project collaborations suggests teamwork and problem-solving abilities. The 'People Skills' listed on the resume (Quick learner, Communication, Conflict-Resolution, Teamwork, Leadership, Problem Solving, Time Management) indicate a good operational fit, though these are self-reported and not validated by specific assessments.