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Software Development Engineer with less than a year in Machine Learning
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Assessing your cultural and operational fit
Versatile Computer Science Engineering graduate with experience spanning Data Analytics, Software Engineering, and Artificial Intelligence. Skilled in Python, C programming, and data visualization tools, with hands-on projects in predictive analytics, deep learning-based plant disease detection, and software development. Combines strong analytical thinking with programming fundamentals to build data-driven solutions and intelligent systems. Eager to contribute to dynamic teams working on impactful technology across analytics, software, and AI domains.
Gautam Buddha University, Greater Noida
BTech - MTech in CSE (Artificial Intelligence) · Computer Science Engineering (Artificial Intelligence)
August 1, 2021 – June 30, 2026
Next Hikes IT Solution
Data Science Intern
February 1, 2026 – Present
India
Building Basic Calculator
June 1, 2026 – June 30, 2026
Developed a basic calculator application capable of performing arithmetic operations. Implemented addition, subtraction, multiplication, and division functionalities. Applied programming fundamentals, logical problem-solving, and user input handling.
Bike Sharing Demand Analysis Project Using Excel
May 1, 2026 – May 31, 2026
Analyzed bike-sharing demand data using Microsoft Excel. Performed data cleaning and preprocessing to improve data quality. Created interactive dashboards, charts, and pivot tables for visualization.
Deep Learning Based Mobile Application for Automated Plant Disease Detection
April 1, 2026 – April 30, 2026
Collected and preprocessed image datasets. Trained and evaluated deep learning models. Performed image classification for disease prediction. Improved model accuracy through optimization techniques.
Google AI Professional Certificate
Google (Coursera)
June 1, 2026 – Present
Microsoft Azure for AI and Machine Learning
Microsoft (Coursera)
June 1, 2026 – Present
MICRO 2026
Unknown
June 1, 2026 – Present
Artificial Intelligence
Samsung Innovation Campus
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship show an interest in AI and data science, which aligns with innovation-driven cultures. The academic and personal projects demonstrate initiative. However, the breadth of experience in diverse software engineering paradigms (e.g., backend, frontend, distributed systems) is limited, which might impact fit in a broader software development team without specific AI/ML focus.
Soft Skills & Operational Fit
The candidate lists teamwork, problem-solving, decision-making, leadership, and communication as soft skills. The internship description mentions collaboration, indicating some practical application of teamwork. However, the overall operational fit for a senior Software Development Engineer role is limited due to the candidate's early career stage and focus on data science/AI rather than core software engineering practices.