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Hi, I'm Saloni Wandile, a passionate computer science graduate student and software developer with a strong background in AI, data science, and full-stack development. I enjoy creating innovative solutions that leverage machine learning, natural language processing, and automation to solve complex problems and enhance user experience. Currently, I'm pursuing my Master's degree at Binghamton University and working as a software development intern where I build efficient pipelines and systems to improve business operations. I love collaborating on projects that involve cutting-edge technologies and driving meaningful impact through code.…Hi, I'm Saloni Wandile, a passionate computer science graduate student and software developer with a strong background in AI, data science, and full-stack development. I enjoy creating innovative solutions that leverage machine learning, natural language processing, and automation to solve complex problems and enhance user experience. Currently, I'm pursuing my Master's degree at Binghamton University and working as a software development intern where I build efficient pipelines and systems to improve business operations. I love collaborating on projects that involve cutting-edge technologies and driving meaningful impact through code.

Saloni Wandile

Developer, AI Engineer, Data Scientist, +1

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Hi, I'm Saloni Wandile, a passionate computer science graduate student and software developer with a strong background in AI, data science, and full-stack development. I enjoy creating innovative solutions that leverage machine learning, natural language processing, and automation to solve complex problems and enhance user experience. Currently, I'm pursuing my Master's degree at Binghamton University and working as a software development intern where I build efficient pipelines and systems to improve business operations. I love collaborating on projects that involve cutting-edge technologies and driving meaningful impact through code.…Hi, I'm Saloni Wandile, a passionate computer science graduate student and software developer with a strong background in AI, data science, and full-stack development. I enjoy creating innovative solutions that leverage machine learning, natural language processing, and automation to solve complex problems and enhance user experience. Currently, I'm pursuing my Master's degree at Binghamton University and working as a software development intern where I build efficient pipelines and systems to improve business operations. I love collaborating on projects that involve cutting-edge technologies and driving meaningful impact through code.

Available to hire

Hi, I’m Saloni Wandile, a passionate computer science graduate student and software developer with a strong background in AI, data science, and full-stack development. I enjoy creating innovative solutions that leverage machine learning, natural language processing, and automation to solve complex problems and enhance user experience.

Currently, I’m pursuing my Master’s degree at Binghamton University and working as a software development intern where I build efficient pipelines and systems to improve business operations. I love collaborating on projects that involve cutting-edge technologies and driving meaningful impact through code.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Marathi (Marāṭhī)

Advanced

Amharic

Advanced

Work Experience

Software Development Intern at Empower Equity

August 1, 2024 - November 23, 2024

Led the automation of data cleaning for 1200 complex Excel sheets using Python libraries such as Pandas, OpenPyXL, and NumPy to transform and standardize diverse industrial data categories, improving accuracy, consistency, and adherence to company standards. Streamlined data processing by replacing manual cleaning with Python automation, significantly enhancing efficiency and reducing errors across various industrial datasets.

Software Development Intern at Entertainment Technologists

June 1, 2024 - August 31, 2024

Developed a Python, PyTorch, and OpenCV-based solution for detecting NSFW content, violence, smoking, and other objectionable elements in videos, categorizing content into certification types (U, A, U/A). Improved targeted marketing strategies using computer vision and deep learning to enhance advertisement relevance. Designed an AI-powered interactive contract analysis tool, reducing legal errors by 35% and streamlining decision-making by enabling dynamic user queries for faster insights.

Systems Engineer at Infosys Ltd

January 1, 2021 - July 31, 2022

Orchestrated localization of a web application into 6 languages using React's i18n library, increasing user engagement by 20% and reducing support tickets by 10%. Spearheaded development of VIA, a risk monitoring tool, by designing backend APIs, developing Node.js automation scripts which reduced processing time by 75% and improved data accuracy by 89%, and enhanced quality assurance with Cypress tests. Mentored junior team members, sharing best practices and fostering team growth.

Software Development Intern at Empower Equity

August 1, 2024 - June 7, 2024

Designed and built a robust PDF parsing system using Python and fuzzy string matching to extract nested key-value equipment specifications from unstructured manuals, achieving over 95% accuracy on model-specific data extraction without relying on OCR or ML models. Developed an automated geocoding pipeline using Python, Google Maps API, and Pandas to transform large-scale geolocation datasets into detailed address-level insights, improving data accuracy and operational efficiency by 30%. Led the end-to-end automation of Excel data cleaning for 1,200+ complex sheets by leveraging Pandas, OpenPyXL, and NumPy, standardizing inconsistent industrial data formats and eliminating manual workflows to reduce errors and ensure compliance with company standards.

Software Development Intern at Entertainment Technologists

June 1, 2024 - August 31, 2024

Developed a Python, PyTorch, and OpenCV-based solution to detect NSFW content, violence, smoking, and other objectionable elements in videos, categorizing content into certification types. Improved targeted marketing strategies through intelligent ad placement using computer vision and deep learning, enhancing advertisement relevance. Designed an AI-powered, interactive tool for contract analysis, reducing legal errors by 65% and streamlining decision-making by enabling users to query documents dynamically for faster insights.

Systems Engineer at Infosys Ltd

January 1, 2021 - July 31, 2022

Orchestrated the localization of a web application into 6 languages using React's i18n library, increasing user engagement by 20% and reducing support tickets by 10%. Spearheaded the development of VIA, a risk monitoring tool, by designing backend APIs and developing Node.js automation scripts for a 75% reduction in processing time and 89% data accuracy. Enhanced quality assurance with Cypress tests and mentored junior team members, sharing best practices and fostering growth, contributing to a more skilled and cohesive team.

Software Development Intern at Empower Equity

August 1, 2024 - June 6, 2024

Software Development Intern at Entertainment Technologists

June 1, 2024 - August 31, 2024

Developed a Python, PyTorch, and OpenCV-based solution to detect NSFW content, violence, smoking, and other objectionable elements in videos, categorizing content into certification types (U, A, U/A). Improved targeted marketing strategies through intelligent ad placement using computer vision and deep learning, enhancing advertisement relevance. Designed an AI-powered, interactive tool for contract analysis, reducing legal errors by 65% and streamlining decision-making by enabling users to query documents dynamically for faster insights.

Systems Engineer at Infosys Ltd

January 1, 2021 - July 31, 2022

Orchestrated the localization of a web application into 6 languages using React's i18n library, increasing user engagement by 20% and reducing support tickets by 10%. Spearheaded the development of VIA, a risk monitoring tool, by designing backend APIs, developing Node.js automation scripts for a 75% reduction in processing time and 89% data accuracy, and enhancing quality assurance with Cypress tests. Mentored junior team members, sharing best practices and fostering growth, contributing to a more skilled and cohesive team.