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AI Engineer with less than a year in Data Analytics, AI/ML & Web Development, focused on building sc
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Assessing your cultural and operational fit
A motivated MCA graduate skilled in SDLC, Data Analytics, and Web Development. Experienced in building scalable applications, improving technical skills by 35-50% through hands-on projects and continuous learning, and delivering measurable improvements through clean code, structured design, and data-driven development.
Kongu Arts and Science College
MCA
N/A – June 30, 2023
S.V.V. Hr. Sec. School
HSC
N/A – May 31, 2017
S.V.V. Matriculation School
SSLC
N/A – May 31, 2015
Kongu Arts and Science College
B.Sc. CT
N/A – June 30, 2021
docker-erpnext-setup
June 5, 2026 – Present
Architected a containerized demo system; cut setup time to < 2 minutes.
fullstack-crud-app
June 5, 2026 – Present
Flask + SQLite system focusing on secure backend-to-UI data integrity.
Two-Wheeler Dealership Management System (ASP.NET/SQL)
June 5, 2026 – Present
Optimized SQL stored procedures and query execution plans to reduce manual data entry by 35% and improve reporting latency.
Lab Equipment Inventory
June 5, 2026 – Present
Automated asset tracking for college laboratories, reducing manual auditing errors by 40% and accelerating reporting speed.
Seminar Hall Booking System (Validation Logic)
June 5, 2026 – Present
Engineered a conflict-resolution algorithm that achieved 100% scheduling accuracy through automated server-side validation.
frappe-export-users
June 5, 2026 – Present
Python utility for ERPNext improved workflow automation by 60%.
Open-Source Contributions | Frappe / ERPNext Ecosystem
June 5, 2026 – Present
Contribute to core backend logic and system stability for the Frappe Framework. Submit pull requests to improve robustness and error-handling for large-scale software.
Model Interpretability & Optimization
June 1, 2025 – Present
Engineered a high-performance ensemble model (XGBoost, CatBoost) to predict booking patterns, achieving a 33% reduction in RMSE (763 to 511). Integrated SHAP (SHapley Additive exPlanations) to audit feature attribution, ensuring model transparency and identifying non-causal correlations. Implemented automated data-cleaning pipelines and bias mitigation techniques to ensure consistent model performance across diverse demographics.
IBM Dev Day: AI Demystified
Unknown
June 1, 2026 – Present
AWS Innovate AI / ML
Unknown
June 1, 2026 – Present
Completed training in Junior English Typewriting
Unknown
June 1, 2026 – Present
GHCI 2025 Hackathon
Unknown
June 1, 2026 – Present
Spatial Informatics (NPTEL)
Unknown
June 1, 2026 – Present
AWS Builders online Series
Unknown
June 1, 2026 – Present
Graphic Design
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards continuous learning and practical application through projects and open-source contributions. Their diverse project portfolio, ranging from AI/ML to systems engineering and full-stack development, indicates adaptability and a broad interest in technology. The participation in hackathons and certifications like 'IBM Dev Day: AI Demystified' and 'AWS Innovate AI / ML' aligns with a culture of innovation and staying current with industry trends. The lack of professional experience means cultural fit is primarily inferred from academic and personal projects.
Soft Skills & Operational Fit
The candidate demonstrates a research mindset, analytical thinking, problem-solving, and communication skills, which are crucial for an AI Engineer role. Their involvement in hackathons and open-source contributions suggests a proactive and collaborative approach. However, without direct work experience, the practical application of these soft skills in a professional operational environment is yet to be fully validated.