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Software Engineer with less than a year in AI/Data Operations & Full-Stack Development
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Computer Science Engineer with hands-on experience in AI/Data Operations, Full-Stack Development, and Data Analytics. Skilled in Python, SQL, NLP, Django, and AI/ML workflows with practical exposure to data quality analysis and enterprise operations at iMerit Technology Services. Experienced in developing real-world projects including AI-powered applications and full-stack systems. Passionate about AI, software engineering, and scalable technology solutions.
AGMR College of Engineering & Technology, Hubballi (VTU)
B.E. in Computer Science · Computer Science
January 1, 2021 – January 1, 2025
Bangur Nagar Composite PU College
Pre-University Course (PUC)
January 1, 2021 – January 1, 2021
St. Michael's Convent High School
SSLC
January 1, 2019 – January 1, 2019
TeamLease Digital Pvt Ltd (Client: iMerit Technology Services Pvt Ltd – Latitude AI Project for Ford)
ITES Executive - AI/Data Operations
January 1, 2026 – Present
Hubli, Karnataka, India
AI Text Improvement Tool
April 1, 2025 – May 1, 2025
Pioneered an automated grammar correction tool with Python and OpenAI APIs, exceeding expectations with 90% accuracy, and elevating overall code readability scores by 15%.
RTA for AgBOT
January 1, 2025 – May 1, 2025
Engineered an IoT-based agricultural automation system using GPS modules that improved farming efficiency by 25% and reduced resource wastage by 15%.
Signature Verification System
April 1, 2024 – May 1, 2024
Built a signature verification system using Python, OpenCV, and machine learning that achieved 95% accuracy in forgery detection.
Hospital Emergency Site
October 1, 2023 – November 1, 2023
Revamped patient registration operations by architecting a comprehensive full-stack hospital emergency site using Python, Django, and MySQL, slashing patient registration times by an average of 8 minutes.
Certified AI Data Quality Analyst (NASSCOM NSQF Level 5)
NASSCOM
June 1, 2026 – Present
Presented research paper at AGMR College Paper Presentation Competition
AGMR College
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI, IoT, and full-stack development, indicating adaptability and a willingness to explore different technical domains. The NASSCOM certification and paper presentation show initiative and a commitment to continuous learning. The current role, while operational, is within the AI/ML domain, suggesting an alignment with data-driven and innovative environments. However, the lack of professional software development experience outside of internships might require mentorship to fully integrate into a senior software engineering culture.
Soft Skills & Operational Fit
The candidate's experience as an ITES Executive in AI/Data Operations suggests an ability to work in a production environment, ensure compliance, and collaborate with teams. The project descriptions indicate problem-solving skills and a results-oriented approach (e.g., 'improved farming efficiency by 25%', 'slashing patient registration times by an average of 8 minutes'). However, the current role is more operational than development-focused, which might require a transition period for a pure software engineering role.