You will get Deliver a Custom Executive AI Workshop

Chunshen L. Chunshen L.

4.3

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Chunshen L. Chunshen L.

4.3

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Project details

Outcomes-driven.
By the end, the client will have a clear mental model of AI/ML, understand how common architectures fit together, be able to evaluate AI ideas and startups more rigorously, and feel more confident discussing AI.

AI Algorithms

Large Language Model

AI Applications

AI Chatbot, AI Content Creation, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Machine Translation, Natural Language Understanding, Sentiment Analysis

AI Models

ChatGPT, GPT-3, GPT-4

What's included

Service Tiers	Starter $200	Standard $300	Advanced $400
Delivery Time	1 day	1 day	1 day
AI Model Integration	-	-	-
Batch Normalization	-	-	-
Database Integration	-	-	-
Detailed Code Comments	-	-	-
Image Upscaling	-	-	-
MLOps	-	-	-
Model Deployment	-	-	-
Model Documentation	-	-	-
Model Monitoring	-	-	-
Model Testing & Optimization	-	-	-
Model Tuning	-	-	-
Natural Language Processing	-	-	-
NLP Tokenization	-	-	-
Pre-Training	-	-	-
Prompt Engineering	-	-	-
Setup File	-	-	-
Source Code	-	-	-

4.3

8 reviews

63% Complete

(5)

1% Complete

(0)

38% Complete

(3)

1% Complete

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1% Complete

(0)

AI Engineer Needed for Code Review and Optimization Did not add value as he advertised, did not admit he was in over his head, still accepted payment.

Stock Trading Background and Models Knowledgeable and professional! Thanks.

Alpaca API Trading Bot Specialist Needed for EMA, ORH/ORL, and No-Trade Issues - Senior Python Dev

Data Scientist Needed for Demand Signal Modeling in E-commerce

AI training Valuable training, delivered well.

About Chunshen

Algo Trading Systems Engineer | Python

57% Job Success

4.3 (8 reviews)

Augusta, United States - 10:42 am local time

𝐀𝐛𝐨𝐮𝐭 𝐌𝐞

I build algorithmic trading systems that are validated, production-ready, and actually trade. My own model runs live across 28 large-cap equity tickers: 80.7% win rate, Sharpe 4+, max drawdown 1.27%, validated over 89 days of live paper trading on Alpaca. Not a backtest. A live system I built and run myself.

If you're working with someone who can say that with receipts, you're in the right place.

𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝
Signal Models: Neural-network long/short classifiers trained on intraday price, volume, and macro features. Walk-forward validated, statistically tested, not curve-fit.

Execution Infrastructure: Bracket orders, ATR-based stops, dynamic Kelly position sizing, full broker API integration (Alpaca).

Regime Filtering: VIX/SPY macro overlays that scale or pause exposure based on market conditions. One model behavior for CALM markets, a different one for CRISIS.

Backtesting & Validation: Out-of-sample testing, Sharpe attribution, p-value reporting. I'll tell you honestly whether your edge is real.

System Audits: If your existing algo is underperforming, misfiring, or just feels off, I can diagnose it and tell you exactly why.

𝐒𝐭𝐚𝐜𝐤: Python, PyTorch, scikit-learn, XGBoost, deep learning (time-series), Alpaca API, pandas, NumPy.

Steps for completing your project

After purchasing the project, send requirements so Chunshen can start the project.

Delivery time starts when Chunshen receives requirements from you.

Chunshen works on your project following the steps below.

Revisions may occur after the delivery date.

Customize the AI workshop based on the client's requirements

Duration: 2-hour Proposed agenda: How AI systems work (chatbots, RAG, vector databases, voice interfaces, agentic workflows) Privacy, security, and risk considerations Practical use cases relevant to Tim's work Q&A throughout

Review the work, release payment, and leave feedback to Chunshen.