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I am an AI/ML Engineer with 5+ years of experience in building end-to-end solutions across Machine Learning, NLP, and Computer Vision and Generative AI
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Assessing your cultural and operational fit
Intel Corporation
Summer Internship - AI and Computer Vision Lab
June 13, 2026 – Present
Compliance-Ingestion-Engine-Using-Azure-and-Langchain
April 5, 2026 – Present
ngests video from URLs, indexes with Azure Video Indexer, and runs RAG-backed compliance checks with Azure OpenAI and AI
View ProjectMultimodal-Conversational-AI-using-CLIP-and-LLaMA-Fully-Open-Source
April 4, 2026 – Present
Built a fully open-source multimodal chatbot using CLIP and LLaMA to enable image understanding and context-aware conversational responses, integrating vision and language models into a scalable, API-free pipeline.
View ProjectLow-Latency-Speech-to-Speech-AI
October 11, 2025 – October 11, 2025
Low-Latency-Speech-to-Speech-AI — GitHub repository
View ProjectDocument-Scanner
September 30, 2025 – Present
A fast, CPU-friendly document scanner that detects, deskews, and crops documents (IDs, passports, pages), with both CLI and FastAPI interfaces for easy integration.
View ProjectYoutube-Trending-Video-Analysis-
June 10, 2022 – March 27, 2024
YouTube Trending Video Analysis with Pandas and Seaborn. In this project, I've done data cleaning and manipulation on a dataset that contains trending video statistics in the US and then analyzed and visualized the data and got some good and useful results.
View ProjectFruits-Classification-using-Deep-Learning
June 29, 2020 – Present
Fruits-Classification-using-Deep-Learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects align well with the 'AI and Computer Vision Lab' target role, demonstrating a strong interest and self-driven learning in relevant areas. The diversity of AI projects (multimodal, speech, document processing, compliance) indicates a broad curiosity and willingness to explore different facets of AI. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and a hands-on approach to learning and development.