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AI Engineer with less than a year in Machine Learning, NLP, Computer Vision, and full-stack developm
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Aspiring AI/ML Engineer with experience in Machine Learning, NLP, Computer Vision, and scalable full-stack applications. Skilled in Python and AI system development, seeking an Artificial Intelligence Internship to build intelligent applications and data-driven solutions.
Indian Institute of Technology Guwahati
B.Tech · Mathematics and Computing
August 1, 2023 – June 30, 2027
RAG Video Engagement Analyzer
June 16, 2026 – Present
Built a full-stack RAG pipeline to compare a YouTube video and Instagram Reel fetching transcripts via yt-dlp, computing engagement rates, generating Gemini embeddings, and storing them in ChromaDB for semantic retrieval. Developed a LangChain-powered Q&A system with Gemini 2.5 Flash supporting conversation memory, response streaming, and source citations for context-aware video analysis. Deployed frontend on Vercel with session-isolated chat history; designed production upgrade path using Redis, Qdrant, Docker, and a load-balanced FastAPI cluster.
View ProjectSolar Panel Detection from Aerial Imagery
June 16, 2026 – Present
Trained a YOLOv11s object detection model on 416×416 aerial imagery (MS-COCO format) using PyTorch and Kaggle GPU resources for solar panel detection. Implemented custom IoU (Shapely) and Average Precision metrics across Pascal VOC, COCO, and AUC methods, validated against the supervision library. Evaluated model across 5 IoU thresholds and 5 confidence thresholds, reporting mAP50, Precision, Recall, and F1-score with ground-truth vs prediction visualizations.
View ProjectRealtime Chat App
June 16, 2026 – Present
Built a full-stack chat application with WebSocket-based real-time messaging supporting 500+ concurrent users at <100ms latency. Implemented JWT authentication and bcrypt password hashing for secure, stateless user session management. Optimized MongoDB queries and React rendering, reducing response time by 30% and designed a scalable event-driven backend for high concurrency.
View ProjectML.ai Hackathon 2025
IITG.ai
June 28, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from core AI/ML to full-stack development, indicates a broad interest and ability to adapt to different technical challenges. The involvement in a hackathon and academic projects aligns well with a learning-oriented and collaborative environment. The target role of 'AI Engineer' is well-aligned with the candidate's demonstrated skills and project focus, particularly in RAG and Computer Vision. The breadth of skills across various technologies (Python, JavaScript, C++, databases, frameworks) suggests a versatile individual who could integrate well into diverse teams.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations. The ability to work on diverse projects (AI/ML, full-stack chat) suggests adaptability. The detailed project descriptions indicate good communication of technical work. However, without direct interview data or psychometric test results, a comprehensive assessment of stress handling, teamwork, and work attitude is not possible.