Abu Sayeed

B.Tech AI/ML student · Aspiring Generative AI Engineer

Rajasthan, India

@fakeuse_x

0 followers

🎓 Bachelor of Technology in Artificial Intelligence and Machine Learning at NIMS University · Graduating 2027

About

Aspiring Generative AI Engineer with hands-on experience building LLM-powered and retrieval-based applications using Python, LangChain, and FAISS. B.Tech student in Artificial Intelligence and Machine Learning with working knowledge of NLP, embeddings, and transformer-based models, and experience shipping AI tools end-to-end.

Education

2027

Bachelor of Technology

NIMS University

Artificial Intelligence and Machine Learning · Jan 2023 – Jul 2027

Artificial Intelligence and Machine Learning · Jan 2023 – Jul 2027

Skills

<3 months

C SQL Java Bert Flask MLOps Faiss Python Pandas FastAPI LangChain TensorFlow OpenAI API Embeddings scikit-learn Tokenization Model Evaluation API Integration Understanding Retrieval Augmentation Generation

Tools / apps / platforms

<3 months

Git MySQL Docker GitHub SQLite MongoDB PostgreSQL Hugging Face

Projects

DealSphere AI — Explainable AI Recommendation Platform

Python, FastAPI, Pandas, PostgreSQL

Designed a weighted, explainable scoring engine that generates plain-English reasoning for every AI-driven recommendation. GitHub: github.com/Abu-say33d/dealsphere-ai (full README with architecture and setup docs)
Automated Content Intelligence Platform

Python, Flask, Hugging Face API, SQLite

Integrated a Hugging Face NLP model to power automated blog draft generation within a full-stack Flask application. Built a quality-scoring module using cosine similarity to rank AI-generated drafts, reducing manual review time by 45%.
Sentiment Analysis REST API Service

Python, Flask, scikit-learn, BERT, Docker

Built a transformer-based (BERT) classification API for real-time sentiment prediction, handling 500+ requests per minute. Reached 92% classification accuracy on a 50,000-sample benchmark; containerized with Docker for reproducible deployment.
Intelligent Document Query System

Python, LangChain, FAISS, Flask

Built a retrieval-augmented generation (RAG) application enabling PDF upload and natural-language querying, using LangChain for orchestration and FAISS for vector-based semantic search. Designed a modular REST API layer with robust error handling, input validation, and rate limiting for production-style reliability. Cut response latency to under 2 seconds by moving to asynchronous calls and optimizing FAISS index performance.

Courses & certifications

Python for Everybody Specialization · University of Michigan / Coursera
The Web Developer Bootcamp · Udemy
Software Engineering Professional Certificate · IBM / Coursera
Data Structures and Algorithms · Coursera / UC San Diego

⚽ Extracurricular activities

Engineering Team Lead

Managed a 4-person team through the full SDLC: task delegation, code reviews, sprint planning, and release management.
Open Source Enthusiast

Studies production-grade open-source codebases to build industry-standard coding practices.

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