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AI Engineer with less than a year in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience in Machine Learning, NLP, OCR, Recommendation Systems, and Backend Development. Experienced in building intelligent applications using Python, FastAPI, Transformer Models, Computer Vision, and Cloud Technologies. Passionate about developing AI-powered solutions that solve real-world problems through data-driven decision making.
A. P. Shah Institute of Technology
Bachelor of Engineering · Computer Science and Engineering (AIML) Hons. in Cyber Security
August 1, 2022 – June 30, 2026
L&T
Software Development Intern
August 1, 2025 – March 1, 2026
Mumbai, Maharashtra, India
Altair (AICTE EduSkills)
Data Science Intern
July 1, 2025 – September 1, 2025
India
SafePost AI – Privacy Automation System
June 1, 2026 – Present
Developed a browser extension for detecting sensitive personal information before online posting. Built OCR + NLP pipeline using Tesseract.js and Transformer-based NER models. Implemented real-time privacy risk detection and content analysis.
Nutrino AI – Intelligent Recommendation System
June 1, 2026 – Present
Developed personalized recommendation system using user behavior analysis. Performed feature engineering and recommendation optimization using machine learning techniques. Built backend APIs for scalable recommendation delivery.
View ProjectNagarSetu - Bilingual AI System for Civic Complaint & Information Assistance
June 1, 2026 – Present
Developed multilingual AI-powered civic assistance platform using NLP, Computer Vision and Audio Processing. Built RAG-based assistant for RTI generation and automated citizen query handling. Implemented multimodal pipelines for text, image and voice complaint processing. Designed intelligent routing system for complaint categorization and resolution tracking.
Zscaler Zero Trust Certified Associate (ZTCA)
Zscaler
June 1, 2026 – Present
Cisco CCNA: Introduction to Networks
Cisco
June 1, 2026 – Present
Oracle Database Foundations
Oracle
June 1, 2026 – Present
Oracle Cloud Infrastructure AI Foundations
Oracle
June 1, 2026 – Present
SafePost AI: Privacy-Preserving Browser Extension
RCAAI 2025 Conference
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to solve real-world problems, such as civic assistance and privacy automation, which aligns with an innovative and impact-driven culture. The breadth of technologies used across projects (Python, Flask, AWS, ML, NLP, CV, React.js, Three.js, Unity) indicates adaptability and a willingness to learn diverse tools. The certifications in various domains (Cloud, Database, Networking, Security) suggest a broad technical curiosity. However, the experience is primarily academic and internship-based, so the depth of cultural fit in a fast-paced, senior-level industry environment is yet to be fully validated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems and collaborate (as seen in the L&T internship). The academic projects suggest a proactive approach to applying theoretical knowledge to practical solutions. However, without direct assessment data on soft skills, a comprehensive evaluation of operational fit is limited.