You will get Machine Learning, Deep Learning, NLP, IBM Watson and Data Science services
Project details
*** Please chat before making a contract***
I have 3+ years experience as a Data Scientist. If you are looking to find insights in your data and identify the patterns then I am your guy. I will perform extensive analysis for your given problem and visualize the data using charts and graphs. Then based on data I will develop AI model to automate your workflow.
I have deep theoretical and practical experience in the following.
- IBM Watson
- Text Classification using NLP
- Supervised Machine/Deep Learning models
- Unsupervised Machine/Deep Learning models
- Data Analysis
- Data Modelling
- Feature Engineering
- Web scraping
- Recommender Systems
- Clustering
- Topic Modeling
- Data Science
- Semantic Similarity
Data Processing: Numpy, Pandas, Scipy
Data Mining: Scrapy, BeautifulSoup
Data Modeling: Keras, FastAI, Pytorch, Tensorflow, Scikit-Learn
Misc: ElasticSearch, Kafka, IBM Watson, Docker
Skills: Python, kafka, elastic-search, Pytorch, FastAI, Tensorflow, Keras, Scikit-learn, NLTK, Spacy, gensim, Scrapy, BeautifulSoup, Numpy, Scipy, Pandas, Flask, Docker.
I have 3+ years experience as a Data Scientist. If you are looking to find insights in your data and identify the patterns then I am your guy. I will perform extensive analysis for your given problem and visualize the data using charts and graphs. Then based on data I will develop AI model to automate your workflow.
I have deep theoretical and practical experience in the following.
- IBM Watson
- Text Classification using NLP
- Supervised Machine/Deep Learning models
- Unsupervised Machine/Deep Learning models
- Data Analysis
- Data Modelling
- Feature Engineering
- Web scraping
- Recommender Systems
- Clustering
- Topic Modeling
- Data Science
- Semantic Similarity
Data Processing: Numpy, Pandas, Scipy
Data Mining: Scrapy, BeautifulSoup
Data Modeling: Keras, FastAI, Pytorch, Tensorflow, Scikit-Learn
Misc: ElasticSearch, Kafka, IBM Watson, Docker
Skills: Python, kafka, elastic-search, Pytorch, FastAI, Tensorflow, Keras, Scikit-learn, NLTK, Spacy, gensim, Scrapy, BeautifulSoup, Numpy, Scipy, Pandas, Flask, Docker.
What's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 8 days |
Number of Revisions | 1 | 3 | 6 |
Number of Model Variations | 2 | 4 | 6 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
About Najaf
LLM & Production AI Infrastructure Engineer | Enterprise AI
Islamabad, Pakistan - 7:44 am local time
Most AI developers build fragile prototypes and thin API wrappers that break under real-world production loads. I solve that specific bottleneck. I design and build secure, fault-tolerant, and highly scalable enterprise AI systems built to handle high-volume streaming data safely, cost-effectively, and efficiently.
WHY ENTERPRISE LEADERS & HIGH-GROWTH SCALE-UPS HIRE ME:
* ENTERPRISE ARCHITECTURE BACKGROUND: Having engineered systems within IBM and Kyndryl, I understand how to align machine learning pipelines with legacy infrastructure, strict compliance frameworks, and corporate performance standards.
* TOP 1% GLOBAL VETTING: As a selected engineer through the elite Turing network, my expertise in advanced deep learning, NLP optimization, and data structures is rigorously technical and peer-verified.
* PRODUCTION-READY OVER PROTOTYPES: I shift AI models out of local experimental notebooks and scale them into robust live networks. My systems focus heavily on reducing inference latency, optimizing token usage, and preventing systemic model drift.
CORE TECHNICAL CAPABILITIES:
* Generative AI & Advanced RAG Infrastructure: Custom Retrieval-Augmented Generation systems utilizing LangChain and optimized vector storage to eliminate model hallucinations and deliver precise, context-aware responses.
* Production NLP Pipelines: Fine-tuning transformer models (BERT-class) for ultra-fast text classification, deep clustering anomalies, and real-time content moderation engines.
* Scalable MLOps & Infrastructure: Building automated model retraining workflows, orchestrating feature stores, and establishing continuous model evaluation metrics (including RLHF alignment) to guarantee long-term accuracy.
* High-Throughput Data Engineering: Processing live, distributed, multi-million event data streams with absolute system reliability.
FEATURED PRODUCTION WORK:
* STAAR — Intelligent Ticket Assignment & Routing Pipeline (IBM/Kyndryl)
Engineered a fully automated, self-learning data pipeline utilizing Apache Kafka for distributed stream ingestion and ElasticSearch for structured indexing. Deployed fine-tuned BERT transformer architectures and unsupervised clustering (K-Means/DBSCAN) to classify and route raw incident streams. Automated over 85% of manual enterprise routing workflows with sub-second processing speeds, significantly lowering ongoing operational expenditure.
* AI-Powered Moderation & Business Intelligence Platform
Architected an advanced NLP language processing system utilizing LLMs, adversarial task-prompting techniques, and automated text summarization layers. Applied strict ablation analysis to isolate feature importance, successfully driving down model inference costs while boosting performance. Standardized the deployment infrastructure into modular, repeatable frameworks to guarantee secure, zero-drift cloud environments.
Ready to scale your AI initiative without architectural risk?
Click the "Invite to Job" button. Share your current system overview or project bottlenecks, and I will deliver a concise, high-level technical execution plan to transition your AI project smoothly into production.
Steps for completing your project
After purchasing the project, send requirements so Najaf can start the project.
Delivery time starts when Najaf receives requirements from you.
Najaf works on your project following the steps below.
Revisions may occur after the delivery date.
Gather Requirements
Deliver First Draft