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Software Engineer with 2+ years in Machine Learning & Web Development
Highly motivated Software Engineer and Developer with a strong background in machine learning and web development. Proficient in developing and implementing machine learning models for natural language processing, computer vision, and recommendation systems. Skilled in React, HTML, CSS, JavaScript, and various data analysis and visualization tools. Experienced in optimizing codebases, resolving bugs, and contributing to impactful projects that improve user experience and organizational efficiency.
Kcess college of engineering and management
MBA · Information Technology
June 1, 2023 – May 1, 2025
G.H. Raisoni college of engineering and management
BE · Computer Science and Engineering
June 1, 2019 – August 1, 2023
Datacom
Software Development
January 1, 2026 – Present
India
TATA
Data Visualization
January 1, 2026 – Present
India
Wonderkinds pvt ltd pune
Web development intern
June 1, 2025 – Present
Pune, Maharashtra, India
Webmaster
Core team Lead
June 1, 2025 – Present
India
TechCity Pvt Ltd.
Machine learning Intern
January 1, 2024 – Present
Bengaluru, Karnataka, India
Speech Emotional Recognization
January 1, 2023 – June 1, 2023
Speech Emotion Recognition is a technology that identifies human emotions from spoken language by analyzing voice signal . it focus on detecting emotions such as hapiness,sadness anger,fear,surprise, and neutrality based on how a person rather than what they say. Human speech carries emotional information through tone, pitch, energy, speed, and rhythm, which makes SER an important area of research in artificial intelligent and machine learning.
View ProjectPokeDex - Web Application
January 1, 2023 – June 1, 2023
I meticulously crafted a responsive Pokédex web application using vanilla HTML, CSS, and JavaScript, seamlessly integrating real-time data from the Pokémon API. Its responsive web design ensures an exceptional user experience across various devices, contributing to a 15% growth in mobile traffic. Curated a user-centric Pokédex, showcasing attributes and details of 650 Pokémon; prioritized responsive web design to ensure seamless user experience on various devices.
View ProjectPregnancy Risk Detection
January 1, 2023 – June 1, 2023
Engineered and implemented machine learning models for a pregnancy risk detection platform, elevating accuracy by 15% through data-driven analysis and algorithmic improvements, managing over 10,000 user entries. Led the design of a user-centric interface, driving a 30% increase in user engagement, streamlining data input processes, and enabling seamless risk assessment for a user base exceeding 500 individuals.
View ProjectData Structure and algorithms
January 1, 2023 – June 1, 2023
300+ DSA questions solved. 130+ on Leetcode. 130 on coding ninjas 70+ on Geeks for Geeks 5 stars on HackerRank.
View ProjectMachine Learning in Data Science
Unknown
June 1, 2026 – Present
Problem Solving (basic)
Unknown
June 1, 2026 – Present
Problem Solving (intermediate)
Unknown
June 1, 2026 – Present
Machine Learning (udemy)
Udemy
June 1, 2026 – Present
Software Development
Unknown
June 1, 2026 – Present
Data Visualisation
Unknown
June 1, 2026 – Present
Java
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from web applications to machine learning and data visualization, indicates a broad interest in different technical domains. Their involvement in academic projects and internships, coupled with leadership experience, suggests a proactive and engaged approach. The target role of 'Software Engineer' aligns well with their demonstrated skills in web development, problem-solving, and software development practices. The breadth of skills and project types suggests adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates self-reliance and collaboration skills, as noted in the Web Development Intern role. Their leadership experience as a Core Team Lead suggests an ability to direct teams and manage projects. The descriptions of project work imply a results-oriented approach, focusing on metrics like increased user engagement and reduced bugs. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.