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AI Engineer with less than a year in Machine Learning & LLM-based applications.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated AI/ML student with hands-on experience building LLM-based applications, AI agents, and machine learning models. Strong proficiency in Python, FastAPI, and modern AI frameworks with a passion for developing scalable AI solutions. Developed and fine-tuned LLM models using OpenAI, Gemini, and Hugging Face Transformers for real-world applications. Experienced in data analysis, cloud computing, and building end-to-end ML pipelines.
Sai Vidya Institute of Technology
B.E. · CSE (AI & ML)
August 1, 2022 – June 30, 2026
AVM Meiyappan, Chennai
12th PCM
June 1, 2022 – May 31, 2022
SCFM, Chennai
10th
June 1, 2020 – May 31, 2020
Festiva Moments
AI/ML Development Intern
February 1, 2026 – May 1, 2026
India
Recommendation Engine
June 1, 2026 – Present
Developed an ML-based recommendation model that improved user engagement by 5% in page feed. Deployed and validated model performance through A/B testing on live user traffic. Engineered features from user interaction data to enhance prediction accuracy and relevance.
AI Recipe Assistant
June 1, 2026 – Present
Built an AI-powered assistant that suggests recipes based on available ingredients and user preferences. Integrated LLM capabilities to provide step-by-step cooking instructions with contextual awareness. Designed conversational UX enabling users to interact naturally with the AI for personalized recommendations.
Social Media Fundraising Platform
June 1, 2026 – Present
Developed a full-stack social media fundraising web platform as part of a mini project. Implemented user-facing features with responsive design and backend API integration.
AI-Powered Multilingual Image Captioning System with Voice Output
June 1, 2026 – Present
Developed an AI-based image captioning application that generates descriptive captions using the Salesforce BLIP vision-language model, combining computer vision and NLP for scene understanding. Integrated EasyOCR for text extraction from images and LangDetect with Deep Translator to support multilingual caption generation across 25+ languages. Implemented neural voice synthesis using Microsoft Edge TTS and Pyttsx3 to deliver natural voice output with regional language support. Built an interactive web interface using Gradio for seamless user interaction; deployed locally using Python environment with Hugging Face Model Hub.
Artificial Intelligence Fundamentals
IBM
June 1, 2026 – Present
Generative AI Leader Track
Google Cloud Launchpad
June 1, 2026 – Present
AWS Certified Developer - Associate Prep
Unknown
June 1, 2026 – Present
Complete Web Developer Course 2.0 Python, HTML, PHP
Unknown
June 1, 2026 – Present
Beginning Python - Introductory Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from recommendation engines to multilingual image captioning and AI recipe assistants, demonstrates a broad interest in applying AI across different domains. The academic background in AI & ML, coupled with an internship focused on AI/ML development, aligns well with a target role of AI Engineer. The certifications in AI Fundamentals and Generative AI further indicate a proactive approach to learning and staying current with industry trends, suggesting a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical & critical thinking, multitasking, teamwork, and empathy as soft skills. These are valuable for an AI Engineer role, especially in collaborative development environments and complex problem-solving scenarios. The project descriptions indicate an ability to work on diverse tasks and integrate various technologies, suggesting good operational fit for dynamic AI development teams.