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nabeel uddin

@nabeeluddin

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I am an undergraduate AI/ML student focused on Data Science and MLOps.

Pakistan

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What I'm looking for

I seek entry-level AI/ML or Data Science roles where I can build scalable ML systems, work on MLOps/deployment, collaborate with engineers, and grow through mentorship and production experience.

I am an undergraduate computer science student at FAST-NUCES pursuing hands-on experience in AI, machine learning and data science while completing Coursera's Machine Learning Specialization and a Deep Learning course. I seek roles where I can apply academic knowledge to production ML systems.

I have built production-focused projects such as IntelliSearch, an AI-powered search using LLaMA-3-70B with a Next.js/TypeScript/Tailwind frontend and Vercel deployments, and InsightDB, a conversational SQL assistant supporting Mistral and OpenAI models via a Streamlit interface.

My research and engineering work includes a PyTorch pipeline for real-time 720p-to-4K super-resolution, implementing an Operation-aware Neural Network for CTR/CVR benchmarking on Criteo and Tencent Ad datasets, and an English–Urdu sequence-to-sequence NMT model using LSTM encoder-decoder architectures.

I focus on reliable, scalable ML workflows and deployment—using Docker, Kubernetes, AWS, GitHub Actions and LangChain—and I enjoy building end-to-end systems (Spring Boot, Next.js, Node/Express, MS SQL). I am eager to join a collaborative team where I can contribute to production ML and grow in MLOps and applied research.

Experience

Work history, roles, and key accomplishments

Real-Time 4K SR Researcher

Real-Time 4K Image Super-Resolution

Developed a PyTorch-based preprocessing and training pipeline to upsample 720p to 4K using LR-HR pairs from DIV2K and Flickr2K, and created interactive tools to visualize dataset integrity across resolutions.

PyTorch DIV2K Flickr2K Bicubic Downsampling Data Visualization Real Time Systems Python

IntelliSearch Developer

IntelliSearch

Engineered an AI-powered search engine using Together AI’s LLaMA-3-70B to deliver context-aware responses and built a responsive Next.js + TypeScript frontend deployed on Vercel with API key management and rate limiting.

Next.js TypeScript Vercel Serverless API Rate Limiting Key Management

InsightDB Developer

InsightDB

Built a conversational SQL assistant using Groq’s Mistral-8x7B and OpenAI models with a Streamlit interface, automatic schema parsing, and intelligent SQL query generation for MySQL databases.

Mistral 8x7B Streamlit MySQL Natural Language To SQL Python

ONN Implementation Engineer

ONN Research Project

Implemented the Operation-aware Neural Network architecture with operation-aware embeddings and trained models on Criteo and Tencent Ad datasets to benchmark CTR/CVR performance.

PyTorch Tencent Ad Dataset CVR Benchmarking

HealthLink Full-Stack Developer

HealthLink

Developed HealthLink, an integrated healthcare management system with a Spring Boot backend, Next.js frontend, Node.js-based video conferencing, and Microsoft SQL Server to improve remote consultations and administrative workflows.

Spring Boot Next.js Node Microsoft SQL Server Video Conferencing REST APIs Docker Java

Neural Machine Translation Engineer

Neural Machine Translation

Built an LSTM encoder-decoder sequence-to-sequence model to translate English to Urdu, including corpus preprocessing, tokenization, vocabulary indexing, and padded batching for efficient training.

Sequence To Sequence Tokenization PyTorch TensorFlow Python