Rinisha Gedam

Software Engineer

India9 yrs 6 mos experience

Highly Stable

Key Highlights

Reduced legacy code by 46% through innovative Python solutions.
Improved project health with data-driven dashboards.
Designed responsive APIs for efficient data handling.

Stackforce AI infers this person is a Backend Engineer with strong Python and data analysis skills in the Software Development industry.

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Skills

Core Skills

Software DevelopmentBackend EngineeringMachine LearningDatabase Management

Other Skills

Agile Software DevelopmentAmazon Web Services (AWS)Analytical SkillsAppletArtificial Neural NetworksBackendBashC (Programming Language)C++Cascading Style Sheets (CSS)Coding StandardsCommunicationComputer NetworkingData AnalysisData Structures

About

An accomplished and innovative Computer Science professional with strong technical expertise in Software Development, knowledge of Python and Backend Engineering, complemented by exceptional communication, leadership, and mentoring abilities. This makes me an invaluable asset to any organization, bringing a diverse skill set and a strong commitment to excellence.

Experience

9 yrs 6 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 9 mos

Current Experience

American express

Software Engineer II

Sep 2024 – Present · 1 yr 9 mos

Tata consultancy services

Systems Engineer

Nov 2020 – Sep 2024 · 3 yrs 10 mos · Pune, Maharashtra, India

Developed Python library for code usage tracking, leveraged data to reduce legacy code by 46%.
Created dashboards for data-driven decisions, improving project health.
Built Python Import Detection Tool, saving 1.5 hours per build.
Reduced inter-dependencies by 37% through targeted technical optimization.
Dockerized project, decreasing development time by 30%
Collected, retrieved and analyzed usage data, Generated reports for informed decision making.

PythonData AnalysisDockerMongoDBAgile Software DevelopmentSoftware Development+1

Persistent systems

Software Engineer

Jun 2019 – Dec 2019 · 6 mos · Greater Nagpur Area

Designed and developed APIs that handle hierarchical data efficiently and are highly responsive.
Built efficient record keeping with consistency and scale using a mix of MySQL and PyMySQL.
Delivered services with 2-3 days of turn around time.
Language: Python; API: Flask Framework; Database: MySQL, SQLAlchemy(v1), PyMySQL(v2);
Mailing Protocol: SMTP; Versioning tool: Git

PythonFlaskMySQLSQLAlchemyGitSoftware Development+1

Vnit nagpur

Research Intern

Dec 2018 – May 2019 · 5 mos · Nagpur, Maharashtra, India

Project: classification of brain-computer interface oriented EEG(Electroencephalogram) signals using combinations of shape descriptors.
Improved accuracy of classification of EEG signals by 26% by implementing shape descriptors for pattern recognition (feature extraction).
Language: Python;
Classification Algorithm: K-Nearest Neighbor;
Dataset Type: Time Series Data;
Feature Extraction: Average, Total least square, Orthogonal distances, Hog1D, and their combinations; - Algorithm: Dynamic Time Warping.