You will get Machine learning / Artificial Intelligence (AI) model
Top Rated
Top Rated
Project details
If you are seeking an experienced AI and Machine Learning professional for your Python-based data science projects, I provide research-driven, scalable, and production-ready solutions tailored to your needs.
Services Offered:
• End-to-end Machine Learning and Deep Learning solutions
• Data preprocessing, feature engineering, noise reduction, and model optimization
• DNN, CNN, RNN, and advanced deep learning architectures
• Supervised and unsupervised learning for pattern discovery
• NLP applications, including text classification and LLM integration
• Computer Vision and image processing tasks
• Time series forecasting, including stock price prediction
• Implementation and hyperparameter tuning of ML algorithms (Logistic/Linear Regression, Decision Trees, Random Forest, SVM, etc.)
Why Work With Me?
• Ph.D. in Artificial Intelligence and Machine Learning
• Strong academic and applied AI experience
• Clean, well-documented, reproducible code
• Clear technical reporting and on-time delivery
• High-quality, performance-focused solutions
Services Offered:
• End-to-end Machine Learning and Deep Learning solutions
• Data preprocessing, feature engineering, noise reduction, and model optimization
• DNN, CNN, RNN, and advanced deep learning architectures
• Supervised and unsupervised learning for pattern discovery
• NLP applications, including text classification and LLM integration
• Computer Vision and image processing tasks
• Time series forecasting, including stock price prediction
• Implementation and hyperparameter tuning of ML algorithms (Logistic/Linear Regression, Decision Trees, Random Forest, SVM, etc.)
Why Work With Me?
• Ph.D. in Artificial Intelligence and Machine Learning
• Strong academic and applied AI experience
• Clean, well-documented, reproducible code
• Clear technical reporting and on-time delivery
• High-quality, performance-focused solutions
Machine Learning Tools
Azure Machine Learning, ChatGPT, fastText, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, Keras, MATLAB, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SAS, scikit-learn, SciPy, Scrapy, SQL, Tableau, TensorFlow, Theano, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 5 | 8 | Unlimited |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 4 | 6 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
11 reviews
(8)
(2)
(1)
(0)
(0)
DS
David S.
Feb 6, 2024
I really recommend working with Syed! He is a great professional!
DS
David S.
Jan 21, 2024
Syed was a great contributor to an analytics/data science project!
I strongly recommend him.
I strongly recommend him.
IH
Ian H.
May 10, 2026
Reducing latency with LINA
DB
David B.
Apr 21, 2026
Sales Order Processing Micro-SaaS
nice work!
CO
Cheick O.
Mar 7, 2026
ML Engineer Needed. A2A, AI Agents
CF
Craig F.
Feb 9, 2026
Colab notebook that runs Brain-JEPA
SG
Stan G.
Feb 3, 2026
Spain Home Appliance Consultations
The freelancer is very responsible and provided a good work!
About Syed Mohsin
Ph.D. |Full Stack AI/ML |OpenClaw Automations|RAG |AI Agents| Web Apps
90%
Job Success
Bilbao, Spain - 7:36 pm local time
⏱️ Available across US, Canada, Europe, UK, Australia, and preferred time zones
🥇 Experience with teams at Turing, Meta, Google, YouTube (Agentic)
💼 8+ years | 22+ delivered projects | 506+ billed hours
Senior AI/ML Engineer LLMs, RAG, Multi-Agent Systems, Python Backends Expert| Deep Learning | Computer Vision
I’m Syed Mohsin Ali Shah, Ph.D. (Computer Science), University of Deusto, Spain. I design and deploy production AI that combines Large Language Models, retrieval-augmented generation (RAG), and agentic orchestration with scalable Python services. Focus areas: measurable accuracy, latency reduction, reliability, and maintainability.
Core Strengths
.) AI & LLM Engineering: GPT-4/5 class, Claude, LLaMA, Mistral; HF Transformers; custom inference servers
.) Agentic AI: LangGraph, LangChain, MCP; planner–executor tool use, guardrails, monitoring
.) Agentic AI: LangGraph, LangChain, MCP; planner–executor tool use, safeguards, and monitoring
.) RAG: Pinecone, Weaviate, Chroma, LlamaIndex; hybrid search, reranking, retrieval evaluation
.) NLP: Summarization, NER, structured extraction, document QA, routing
Backend & Platforms:
.) APIs: FastAPI, Django/DRF, Flask; JWT/OAuth, rate limiting, observability
.)Scale & Ops: Docker, CI/CD (GitHub Actions), Redis, Celery, async I/O, streaming
.) MLOps: MLflow, experiment tracking, canary releases, automated eval harnesses
Machine Learning, Computer Vision & Generative AI:
.) Fine-Tuning: LoRA/QLoRA, SFT, preference optimization; prompt/system design
.) Vision: YOLO pipelines, OCR (EasyOCR, Tesseract, PaddleOCR), document AI
.) Image Gen: SDXL/Flux, DreamBooth, control adapters, safety layers
Cloud Based Deployment:
.) Cloud: AWS, GCP, Azure, RunPod; GPU hosting, autoscaling, cost control
.) Pipelines: ETL/ELT, Spark, batch/stream retrieval layers, vector ETL
Quant & Time-Series (Stocks/Crypto):
.) Forecasting Models: LSTM/GRU, TCN, Temporal Fusion Transformer, N-BEATS, XGBoost/LightGBM hybrids
.) Signal Engineering: multi-horizon forecasts, regime detection, volatility features, market microstructure signals
.) Back testing: walk-forward validation, cross-asset/rolling windows, slippage/fees modeling, position sizing
.)Deployment: real-time inference APIs, feature stores, event-driven triggers, risk constraints and monitoring
.) Use Cases: stock and crypto price prediction, alpha signal research, anomaly detection, and alerting (Research and engineering services only; not financial advice.)
What I Deliver:
.) Agentic AI platforms (planner/orchestrator + tools: web search, CRMs, booking, calendars)
.) RAG chatbots over PDFs, Notion, websites, and email—evaluated for grounding and faithfulness
.) High-performance Python backends with FastAPI + Redis for low-latency inference
.) LLM cost/latency optimization with caching, prompt shaping, and model routing
.) Quant research stacks for equities/crypto: forecasting, signal evaluation, and live endpoints
Tooling & Stack:
.) Python, FastAPI, Django/DRF, LangGraph, LangChain, MCP, LlamaIndex, HF Transformers, Pinecone, Weaviate, Chroma, MLflow, Redis, Celery, Docker, GitHub Actions, SDXL/Flux, YOLO, OCR toolkits.
.) Time-series: PyTorch/Lightning, darts, sktime, prophet (baselines), vector DBs for event retrieval.
💬 Let’s Work Together
I build intelligent, reliable, and scalable AI systems from custom GPT apps and multi-agent workflows to high-performance Python APIs with clear communication, fast delivery, and long-term maintainability.
Steps for completing your project
After purchasing the project, send requirements so Syed Mohsin can start the project.
Delivery time starts when Syed Mohsin receives requirements from you.
Syed Mohsin works on your project following the steps below.
Revisions may occur after the delivery date.
Steps Involved
1) Share the dataset details 2) Share the requirements 3) Data Preprocessing 4) Data Exploration 4) Implementation of Algorithm