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
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.