AI Engineer with 1+ years in AI/ML & Data Science
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Final-year AI & Data Science engineer with hands-on experience building full-stack ML-powered applications, GenAI integrations, and data pipelines. Proficient in Python, Django, and LLM APIs with a strong foundation in machine learning concepts. Seeking to contribute to impactful AI/ML engineering roles where I can apply my skills in building intelligent, scalable systems.
Datta Megha College of Engineering, Airoli
Bachelor of Engineering · Artificial Intelligence and Data Science
January 1, 2022 – January 1, 2026
Imarticus Learning
Data Analyst Intern
January 1, 2025 – March 1, 2025
India
CodeSage AI-Driven Code Auditing & Refactoring Workspace
January 1, 2025 – June 1, 2026
Engineered a full-stack AI workspace offering side-by-side smart refactoring, automated inline docstring generation, and cross-language code translation supporting 10+ programming languages. Developed a real-time vulnerability scanning module (Vanguard Scan) that detects security flaws and suggests remediations instantly. Achieved ultra-low latency code reviews averaging under 3 seconds across Python, JavaScript, C++, and SQL. Implemented 1-click GitHub push via secure PKCE OAuth integration for seamless repository updates directly from the platform. Built gamified engagement system with daily streak calendars and rank progression tied to audit milestones; designed Altair-powered telemetry dashboards tracking code quality trends over time.
View ProjectCampus Placement Tracker Full-Stack Recruitment Portal
January 1, 2025 – June 1, 2026
Architected a dual-role recruitment portal for students and TPOs with automated eligibility filtering based on CGPA and branch parameters, eliminating manual screening effort. Implemented robust RBAC restricting TPO-exclusive actions (drive management, eligibility config, status updates) from student accounts. Built a visual application pipeline tracking candidate progression: Applied → Shortlisted → Selected / Rejected. Created branch-wise analytics dashboards enabling TPOs to monitor placement rates and student directories in real time.
View ProjectResearch Paper Presentation
Global Tech Convergence
January 1, 2026 – Present
Google Cloud Innovator Program
January 1, 2024 – Present
Google Developer Program
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly 'CodeSage AI-Driven Code Auditing & Refactoring Workspace,' show a proactive approach to building innovative solutions, which aligns well with a culture of innovation. Participation in Google Cloud and Developer Programs, along with a research paper presentation, indicates a drive for continuous learning and contribution. The leadership roles suggest an ability to work in teams and manage initiatives. However, the experience is primarily academic, and direct industry cultural fit cannot be fully assessed without more professional experience.
Soft Skills & Operational Fit
The candidate demonstrates leadership and organizational skills through various general secretary roles and volunteer work, suggesting good potential for teamwork and project coordination. The project descriptions are clear and highlight problem-solving abilities. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.