AI Engineer with 1+ years in NLP & Machine Learning
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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
December 1, 2025 – June 1, 2026
University of Mumbai
Bachelor of Engineering · Computer Engineering
June 1, 2022 – May 1, 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 project portfolio demonstrates a strong alignment with an AI Engineer role, particularly in practical application and deployment of AI/ML models. The diversity of projects, from NLP-based fake news detection to self-hosted LLMs and AI-powered mobile apps, indicates a broad interest and capability in various AI domains. The initiative to publish apps and self-host solutions suggests a resourceful and independent work style, which can be a good fit for innovative teams. The academic and certification pursuits further reinforce a learning-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of taking projects from conception to deployment. The focus on self-hosting LLMs and publishing Android apps suggests an entrepreneurial mindset and a practical approach to problem-solving. The academic background in Computer Engineering and ongoing certification in Data Science and AI indicate a commitment to continuous learning and skill development. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is not possible.