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AI Engineer with less than a year in NLP, Machine Learning & Cloud Deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Machine Learning Engineer with hands-on experience building end-to-end AI and NLP applications. Skilled in training and deploying ML models using Python and Scikit-learn, and integrating LLMs into production-ready platforms. Published two Android applications on Google Play Store with 100+ and 10+ downloads respectively. Strong foundation in data analysis, model evaluation, and cloud deployment.
IT Vedant Institute
Professional Certification · Data Science and Analytics with AI
August 1, 2025 – Present
University of Mumbai
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Sangam AI – Self-Hosted LLM Assistant Platform
March 1, 2026 – Present
Deployed a self-hosted LLM assistant powered by Qwen2.5 on personal cloud infrastructure using Ollama and OpenWebUI - eliminating third-party API costs. Configured Nginx reverse proxy and HTTPS on DigitalOcean for secure, production-grade access.
LinkVault - Smart Link Manager Android App
February 1, 2026 – April 1, 2026
Built and published a link management Android app (10+ downloads) for saving, tagging, and organizing URLs with a minimal offline-first UI.
NewsIntel – AI-Powered Fake News Detection Platform
January 1, 2026 – April 1, 2026
Built an end-to-end NLP pipeline using TF-IDF vectorization and trained a Passive Aggressive Classifier for real vs. fake news classification. Integrated Google OAuth 2.0 for secure user login and Supabase (PostgreSQL) as the backend database. Deployed a fully functional web app enabling real-time inference on user-submitted news content.
LinkedIn Optimizer – AI-Powered Android App
December 1, 2025 – February 1, 2026
Developed and published an Android app (100+ downloads) where users input their LinkedIn header, summary, and tagline; the Gemini API analyses and returns an AI-optimized version.
Machine Learning & NLP Bootcamp
Udemy
June 1, 2026 – Present
Advanced Excel, SQL, Power BI & Python for Data Analytics
IT Vedant
June 1, 2026 – Present
Stock Market & Trading Program
Asmita Patel Global School of Trading
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in AI/ML, mobile development, and data analytics, aligning well with an AI Engineer role. The diversity of projects, from NLP to LLM deployment and mobile app development, indicates a broad technical curiosity and willingness to explore different domains. The self-hosted LLM project highlights an inclination towards cost-efficiency and practical problem-solving. The current enrollment in a Data Science and Analytics with AI certification further reinforces a commitment to continuous learning in the AI field. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and application development. The publication of multiple Android apps suggests a strong bias towards action and delivering tangible results. The focus on end-to-end solutions, from model training to deployment and user authentication, points to a holistic understanding of project lifecycle. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or specific communication styles in a team setting.