Lakshya sharma

Design scalable data pipelines, ETL workflows, and cloud-based data warehouses to transform raw data into reliable business assets. Deliver advanced analytics, interactive dashboards, and KPI reporting for finance, business operations, product performance, and customer intelligence. Build data-driven solutions using machine learning, forecasting, risk analysis, recommendation systems, and predictive modeling to support strategic decision-making.

Design and develop autonomous AI agents that can reason, plan, make decisions, and execute complex workflows with minimal human intervention. Build multi-agent systems for research, customer support, financial analysis, data processing, task automation, and business operations. Integrate LLMs, APIs, databases, and external tools to create intelligent AI assistants capable of end-to-end problem solving and workflow orchestration.

Design, deploy, and manage scalable cloud infrastructure on AWS, Azure, and Google Cloud for high availability and performance. Implement CI/CD pipelines, containerization, and infrastructure automation using Docker and GitHub Actions. Optimize cloud security, monitoring, cost management, and system reliability to ensure efficient and seamless application deployment.

Delivering Full Stack software development services including frontend, backend, database architecture, and blockchain implementation. Experienced in developing smart contracts, NFT marketplaces and DeFi applications. I deliver complete, production-ready digital products.

Develop and deploy predictive models for classification, regression, forecasting, and recommendation systems. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, and performance optimization. Create AI-powered solutions such as fraud detection, customer analytics, demand forecasting, and intelligent automation for businesses. Also side project like underwater Threat detection and image enhancment

Provide end-to-end quantitative research services, including alpha discovery, strategy development, backtesting, and portfolio construction Deliver actionable investment insights, performance analytics, and automated decision-support systems for institutional and fintech environments.