Sanskruti Tidke

Software Engineer

Amravati, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in backend development and cloud deployment.
Developed AI tools for real-time audio processing and computer vision.
Proficient in building REST APIs and relational databases.

Stackforce AI infers this person is a Backend Developer with a focus on AI and Computer Vision technologies.

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Skills

Core Skills

Backend DevelopmentRest Api DevelopmentAi/mlComputer Vision

Other Skills

PythonJavaNode.jsExpress.jsSQLDeep LearningStreamlitAIOpenCVYOLOv4Machine Learning / AIYOLOEdgeAIOCRData Science

About

I am an Entry-level Software Engineer with hands-on experience in Python, Java, and backend development. I specialize in building REST APIs, designing relational databases, and deploying cloud-based applications. My work emphasizes writing clean, maintainable code and solving problems efficiently. I have practical experience in: Backend & Web Development: Node.js, Express.js, React (basic), REST API design Databases & Cloud: PostgreSQL, MySQL, Supabase, Render, Oracle Cloud, GCP AI/ML & Computer Vision: YOLOv4-based real-time object detection, OCR, deep learning for audio processing Some of my projects include: Expense Management System with cloud deployment, Real-Time Object Detection with OpenCV & YOLOv4, and AI Noise Reduction System using Python and Streamlit. I am actively seeking opportunities as an Entry-level Software Engineer / Backend Developer / Python Developer where I can apply my technical skills, contribute to meaningful projects, and continue learning.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Kodnest

Software Development Trainee

May 2025 – Present · 1 yr 1 mo · Virtual / Remote

Completed structured backend development training, focusing on Python, Java, Node.js, and Express.js.
Developed and deployed REST APIs for CRUD operations and backend-driven applications.
Wrote SQL queries for relational database management and applied database design principles.
Gained practical exposure to cloud deployment on Render and version control using Git & GitHub.
Applied SDLC concepts to deliver small production-ready modules.
Collaborated in a virtual team environment, practicing code reviews and iterative development.

PythonJavaNode.jsExpress.jsREST API DevelopmentSQL+1

Prasunet company

Data Science Intern

Mar 2025 – Apr 2025 · 1 mo · Remote

Working as a Data Science Intern focusing on AI-based audio processing and computer vision projects. Built an AI Noise Reduction tool using deep learning models like Demucs and custom CNNs to enhance speech quality in noisy environments. Developed a Streamlit-based UI allowing live recording, language selection, and waveform comparisons.
Key Achievements:
Integrated real-time noise suppression using pretrained and custom-trained models
Implemented feedback collection and multi-language support
Deployed the solution to ai-noise-reducer.streamlit.app
Continuing to explore Edge AI, image processing, and Python-based AI pipelines.

PythonDeep LearningStreamlitAIComputer VisionAI/ML

Intel corporation

Trainee

May 2024 – Jun 2024 · 1 mo · Remote

Participated in the Intel Unnati Industrial Training Program, where I designed and implemented a real-time vehicle detection and tracking system using YOLOv4, OpenCV, and Python.
Achieved 90% model accuracy in detecting and tracking vehicles in a campus environment.
Integrated OCR for license plate recognition, enabling real-time traffic analysis.
Improved campus security and traffic management efficiency by 20% through actionable insights.
Gained hands-on experience in Edge AI, computer vision, and real-time object detection.

PythonOpenCVYOLOv4Computer VisionAI/ML