You will get an AI based alphaminer that finds profitable strategies for you
Top Rated
Project details
You will get an end-to-end automated alpha discovery system - custom-built for your strategy research needs deployed in your preferred tech stack and on your private dataset.
With extensive experience in backtesting, quant strategy development, and large-scale automation using AI (ChatGPT, Claude, etc.), I help funds, traders, and researchers set up high-performance workflows that can explore 1000s of strategies, generate Python code, and evaluate alphas using metrics like Sharpe, Sortino, Win Rate, and Expectancy.
What sets this project apart is the focus on exclusivity and privacy: all strategy ideas and results remain private to you, and the entire system runs within your infra - on AWS, GCP, or any cloud of your choice. You get full control over dataset, universe selection, and strategy logic.
The output? A plug-and-play backtesting engine with alpha scoring and filtering, delivered in days - not weeks.
With extensive experience in backtesting, quant strategy development, and large-scale automation using AI (ChatGPT, Claude, etc.), I help funds, traders, and researchers set up high-performance workflows that can explore 1000s of strategies, generate Python code, and evaluate alphas using metrics like Sharpe, Sortino, Win Rate, and Expectancy.
What sets this project apart is the focus on exclusivity and privacy: all strategy ideas and results remain private to you, and the entire system runs within your infra - on AWS, GCP, or any cloud of your choice. You get full control over dataset, universe selection, and strategy logic.
The output? A plug-and-play backtesting engine with alpha scoring and filtering, delivered in days - not weeks.
AI Development Type
Deep LearningAI Development Language
PythonWhat's included $1,500
These options are included with the project scope.
$1,500
- Delivery Time 7 days
- Number of Revisions 1
- AI Model Integration
- Model Documentation
- Source Code
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MF
Michael F.
Mar 23, 2026
Dashboard for CCTV Health Monitoring
ZI
Zia I.
Oct 21, 2025
30 minute consultation
The experience was great. Ajay has the skilled experience needed to understand my technical needs. I have explained the protocol needed and the business logic needed and it was clear to him. I would highly recommend. If my startup business kicks, he is the first person I would contact.
CM
Cristhofer M.
Sep 8, 2025
Automated Algo Expert
Complete rockstar! AI + LLM in trading is where he shines!
TP
Travis P.
Jun 1, 2025
Python/R Trading Algorithm Developer Needed
Good working with Ajay. Was flexible with pivoting to a new strategy he proposed that resulted in better backtested results. Quality work.
DL
Daniel L.
Mar 1, 2025
Automated trading bot - Futures market
Very Professional and helpful. Ajay is incredibly knowledgeable and quick thinking. He takes direction well and pushes back when it necessary. Overall, he has been instrumental in getting my project off the ground. Would definitely recommend!
About Ajay
AI Systems Engineer - Production RAG, Agentic Workflows, LLM Inference
100%
Job Success
Bengaluru, India - 9:30 am local time
My work sits at the intersection of AI engineering and systems thinking. I've contributed to vLLM (open-source LLM inference engine used at scale across the industry), published research on how LLM instruction-following degrades under context pressure (ConstraintFade), and built multi-agent pipelines using LangGraph and Azure OpenAI in production.
Current focus: autonomous agentic research systems for quantitative fund management and investment management agents that ingest historical market data, generate strategy hypotheses, run mutation and stress-testing loops, and surface only the edges that survive rigorous backtesting. The goal is replacing manual research cycles with systems that explore the strategy space continuously and self-correct.
Technical stack: Python, LangGraph, Azure OpenAI, LiteLLM, vLLM, PostgreSQL, pgvector, FastAPI, Docker. Production infrastructure on Azure with full observability via Langfuse.
I run a live quantitative options fund (Zerodha Kite API) - which means my bar for "production-grade" is set by systems where errors cost real money. That rigor carries into every AI system I build.
Steps for completing your project
After purchasing the project, send requirements so Ajay can start the project.
Delivery time starts when Ajay receives requirements from you.
Ajay works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy Ideation & Setup
We’ll use AI (e.g., ChatGPT's API) to explore and define a set of trading strategy prompts tailored to your objectives.
Strategy Code Generation
I’ll use batch APIs to convert the strategy prompts into fully working Python code for backtesting.