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Software Engineer with less than a year in Python, Machine Learning & Data Analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Engineering graduate (2026) with strong fundamentals in software development, data structures, algorithms, and applied machine learning. Demonstrated ability to design and deploy end-to-end software systems - from hardware-integrated drone surveillance to AI-powered medical imaging tools. Experienced in Python, SQL, REST APIs, and cloud-adjacent tools. Holds an official Government Copyright for an original AI software project. Seeking a Software Engineer / Graduate Engineer Trainee role to contribute to scalable, production-grade software development.
Sanjivani College of Engineering
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Sanjivani Junior College
HSC · Science
June 1, 2020 – May 31, 2022
Seva Niketan Convent School
SSC
June 1, 2018 – May 31, 2020
Industry Internship Program
Data Analytics & Software Intern
December 1, 2024 – March 1, 2025
India
Smart Diagnosis Assistant - AI-Powered Medical Imaging System
January 1, 2025 – December 31, 2025
Architected an AI diagnostic tool using Convolutional Neural Networks (CNN) for automated classification of chest X-rays (pneumonia) and MRI scans (brain tumor) — reducing dependency on manual radiological review. Built robust image preprocessing pipeline using OpenCV: resizing, normalization, and data augmentation to improve model generalization and minimize overfitting on limited medical datasets. Evaluated model performance using precision, recall, F1-score, and confusion matrices with particular focus on minimizing false negatives — critical for medical diagnostic applications. Project awarded an official Government Copyright (May 2025) — recognized as an original, novel, and independently developed technical contribution at the undergraduate level.
Suspicious Activity Detection System — Drone Surveillance
January 1, 2024 – December 31, 2024
Designed and deployed a real-time autonomous surveillance system on a Hexacopter to monitor blind spots inaccessible to fixed CCTV cameras — system autonomously patrols areas for 10 minutes capturing continuous video frames. Engineered full hardware-software integration: mounted Raspberry Pi with a 4G dongle for live internet connectivity and a power bank for uninterrupted field operation; validated system for field deployment. Implemented YOLO-based real-time object detection pipeline (OpenCV + TensorFlow) to classify suspicious objects (weapons, threatening behavior) across video frames with low-latency inference. Integrated Twilio REST API to trigger automated SMS alerts to admin with detected threat category and GPS location coordinates upon positive detection.
Stock Market Price Prediction - ML Forecasting System
January 1, 2024 – December 31, 2024
Built an end-to-end machine learning pipeline: fetched real historical stock data via yfinance API, applied data cleaning, normalization, and feature engineering (moving averages, lag variables, % change columns). Trained and evaluated a Linear Regression model using Scikit-learn on an 80/20 train-test split; assessed performance using MAE, RMSE, and R² metrics to ensure model reliability. Developed clear visual interpretability reports (actual vs predicted price overlays) using Matplotlib and Seaborn — enabling transparent model performance communication.
Data Analytics with Cloud & AI Features
Godrej Infotech
June 1, 2026 – Present
Introduction to Industry 4.0 and Industrial IoT
NPTEL (Government Certified)
June 1, 2026 – Present
Project Management
NPTEL
June 1, 2026 – Present
Introduction to Data Science
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications for AI/ML, from drone surveillance to medical imaging and financial forecasting, indicating a broad interest in applying technical skills to various domains. The internship in Data Analytics and Software further broadens their exposure. The target role of 'Software Engineer' aligns well with their demonstrated project work and technical skills, suggesting a good cultural fit for an innovation-driven team.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, teamwork, documentation, and stakeholder communication skills through project descriptions and internship experience. Their involvement in organizing college events also highlights leadership and coordination abilities, suggesting a good operational fit for collaborative environments.