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AI Engineer with 3+ years in Python & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer and Python Developer with 2+ years of experience building scalable backend systems, AI-driven applications, and automation solutions. Skilled in Python, FastAPI, Django, Flask, LangChain, NLP, Computer Vision, REST APIs, AWS, Celery, Redis, and Vector Databases, with experience developing production-ready intelligent systems and workflow automation platforms.
Birla Vishvakarma Mahavidyalaya Engineering College
B.Tech · Information Technology
July 1, 2020 – May 1, 2024
Crest Infosystems Pvt. Ltd.
Software Engineer
December 1, 2023 – Present
Surat, Gujarat, India
OneKnotOne Technologies
AI/ML Intern
May 1, 2023 – November 1, 2023
Vadodara, Gujarat, India
AFMS - Automated File Management System
June 30, 2026 – Present
Built a production-grade automated pipeline for external platform file transfer, validation, AWS S3 storage, scheduling, and rule-based file processing.
MyTruckerPro - SaaS Product Listing Platform
June 30, 2026 – Present
Developed a scalable SaaS backend platform using Flask, PostgreSQL, Docker, AWS S3, and Shopify APIs to automate product listing, publishing, and media workflows. Integrated AI-powered moderation for automated image, video, and text validation..
ElectraPulse - Political Sentiment Analysis
June 30, 2026 – Present
Developed an NLP sentiment classification system using YouTube data, ensemble ML models, TF-IDF, embeddings, and tuning strategies to achieve 97%+ accuracy.
AutoParkAI - Parking Slot Detection
June 30, 2026 – Present
Created a computer vision system for parking-space detection using CNN, SSD MobileNet, transfer learning, and OpenCV, achieving 96% accuracy.
AWS AI Practitioner
Amazon Web Services
June 30, 2026 – Present
Data Science
IBM
June 30, 2026 – Present
Data Analytics for Professional Soft Skills
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from automated file management to SaaS platforms with AI moderation and academic projects in NLP and Computer Vision, indicates a broad interest in applying AI/ML across different domains. The experience in both professional and academic settings, coupled with certifications, suggests a proactive learning attitude. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and project focus, indicating a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on building automated and scalable systems, suggesting an operational fit for roles requiring robust and efficient solutions. The descriptions of project work imply problem-solving abilities and a results-oriented approach. However, without specific psychometric or English test results, it's difficult to assess communication clarity, teamwork, or stress handling directly.