Sushanth Raj — Product Manager

Quant Developer | AI Engineer | Building Intelligent Trading Systems & Autonomous Agents I'm a Computer Science graduate from Thapar Institute specializing in quantitative development and generative AI systems. I build high-performance trading strategies and AI agents that solve real-world problems at the intersection of finance and machine learning. What I Do: Currently at Atlas, I automate intraday trading strategies across Indian options and forex markets, developing custom execution platforms integrated with broker APIs. I've built HFT systems achieving 85% precision using C++ for low-latency inference, handling real-time market data via WebSockets for sub-millisecond decision-making. On the AI side, I develop autonomous agents using LangChain, LangGraph, and the Model Context Protocol (MCP). My work includes RAG-powered systems for intelligent information retrieval, real-time data processing pipelines, and deploying production ML models on cloud infrastructure. Core Expertise: Quant Development: Algorithmic trading, technical indicators, order book analysis, real-time execution systems Generative AI: LLM agents, RAG architectures, prompt engineering, vector databases, agentic workflows ML Engineering: Deep learning (PyTorch, TensorFlow), model optimization, feature engineering, time-series analysis Systems & Infrastructure: C++/Python/Go, WebSockets, microservices, Docker, GCP, MLOps

Stackforce AI infers this person is a Fintech and AI specialist with expertise in quantitative trading and generative AI systems.

Location: Hyderabad, Telangana, India

Experience: 1 yr